ACL2019.md

Incremental Transformer with Deliberation Decoder for Document Grounded Conversations

• 论文链接：https://www.aclweb.org/anthology/P19-1002.pdf
• 代码链接：https://github.com/lizekang/ITDD

Improving Multi-turn Dialogue Modelling with Utterance ReWriter

• 论文链接：https://www.aclweb.org/anthology/P19-1003.pdf
• 代码链接：https://github.com/chin-gyou/dialogue-utterance-rewriter

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study

• 论文链接：https://www.aclweb.org/anthology/P19-1004.pdf

• 代码链接：https://github.com/chinnadhurai/ParlAI/

Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection

• 论文链接：https://www.aclweb.org/anthology/P19-1006.pdf

• 代码链接：https://github.com/CSLujunyu/Spatio-Temporal-Matching-Network

Semantic Parsing with Dual Learning

• 论文链接：https://www.aclweb.org/anthology/P19-1007.pdf

• 代码链接：https://github.com/RhythmCao/

AMR Parsing as Sequence-to-Graph Transduction

• 论文链接：https://www.aclweb.org/anthology/P19-1009.pdf

• 代码链接：https://github.com/sheng-z/stog

Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation

• 论文链接：https://www.aclweb.org/anthology/P19-1013.pdf

• 代码链接：https://github.com/masashi-y/depccg

Massively Multilingual Transfer for NER

• 论文链接：https://www.aclweb.org/anthology/P19-1015.pdf

• 代码链接：https://github.com/afshinrahimi/mmner

Reliability-aware Dynamic Feature Composition for Name Tagging

• 论文链接：https://www.aclweb.org/anthology/P19-1016.pdf

• 代码链接：https://github.com/limteng-rpi/neural_name_tagging

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces

• 论文链接：https://www.aclweb.org/anthology/P19-1018.pdf

• 代码链接：https://github.com/joelmoniz/BLISS

An Effective Approach to Unsupervised Machine Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1019.pdf

• 代码链接：https://github.com/artetxem/monoses

Effective Adversarial Regularization for Neural Machine Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1020.pdf

• 代码链接：https://github.com/pfnet-research/vat_nmt

Neural Relation Extraction for Knowledge Base Enrichment

• 论文链接：https://www.aclweb.org/anthology/P19-1023.pdf

• 代码链接：http://www.ruizhang.info/GKB/gkb.htm

Attention Guided Graph Convolutional Networks for Relation Extraction

• 论文链接：https://www.aclweb.org/anthology/P19-1024.pdf

• 代码链接：http://www.statnlp.org/research/information-extraction1

Augmenting Neural Networks with First-order Logic

• 论文链接：https://www.aclweb.org/anthology/P19-1028.pdf

• 代码链接：https://github.com/utahnlp/layer_augmentation

Self-Regulated Interactive Sequence-to-Sequence Learning

• 论文链接：https://www.aclweb.org/anthology/P19-1029.pdf

• 代码链接：https://github.com/juliakreutzer/bandit-joeynmt/tree/acl19

Manipulating the Difficulty of C-Tests

• 论文链接：https://www.aclweb.org/anthology/P19-1035.pdf

• 代码链接：https://github.com/UKPLab/acl2019-ctest-difficulty-manipulation

Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table

• 论文链接：https://www.aclweb.org/anthology/P19-1037.pdf

• 代码链接：https://github.com/MMU-TDMLab/ClinicalNTS

What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues

• 论文链接：https://www.aclweb.org/anthology/P19-1038.pdf

• 代码链接：https://github.com/GeminiLn/EarningsCall_Dataset

Disentangled Representation Learning for Non-Parallel Text Style Transfer

• 论文链接：https://www.aclweb.org/anthology/P19-1041.pdf

• 代码链接：https://sites.google.com/view/disentangle4transfer

Cross-Sentence Grammatical Error Correction

• 论文链接：https://www.aclweb.org/anthology/P19-1042.pdf

• 代码链接：https://github.com/nusnlp/crosentgec

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

• 论文链接：https://www.aclweb.org/anthology/P19-1048.pdf

• 代码链接：https://github.com/ruidan/IMN-E2E-ABSA

Transfer Capsule Network for Aspect Level Sentiment Classification

• 论文链接：https://www.aclweb.org/anthology/P19-1052.pdf

• 代码链接：https://github.com/NLPWM-WHU/TransCap

Classification and Clustering of Arguments with Contextualized Word Embeddings

• 论文链接：https://www.aclweb.org/anthology/P19-1054.pdf

• 代码链接：https://github.com/UKPLab/acl2019-BERT-argument-classification-and-clustering

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

• 论文链接：https://www.aclweb.org/anthology/P19-1056.pdf

• 代码链接：https://github.com/ArrowLuo/DOER

Learning from Omission

• 论文链接：https://www.aclweb.org/anthology/P19-1059.pdf

• 代码链接：https://github.com/forkunited/ltprg

Multi-Task Learning for Coherence Modeling

• 论文链接：https://www.aclweb.org/anthology/P19-1060.pdf

• 代码链接：https://github.com/Youmna-H/coherence_mtl

Evaluating Discourse in Structured Text Representations

• 论文链接：https://www.aclweb.org/anthology/P19-1062.pdf

• 代码链接：https://github.com/elisaF/structured

Coreference Resolution with Entity Equalization

• 论文链接：https://www.aclweb.org/anthology/P19-1066.pdf

• 代码链接：https://github.com/kkjawz/coref-ee

How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions

• 论文链接：https://www.aclweb.org/anthology/P19-1070.pdf

• 代码链接：https://github.com/codogogo/xling-eval

SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition

• 论文链接：https://www.aclweb.org/anthology/P19-1071.pdf

• 代码链接：https://github.com/HKUST-KnowComp/SP-10K

DocRED: A Large-Scale Document-Level Relation Extraction Dataset

• 论文链接：https://www.aclweb.org/anthology/P19-1074.pdf

• 代码链接：https://github.com/thunlp/DocRED

Crowdsourcing and Aggregating Nested Markable Annotations

• 论文链接：https://www.aclweb.org/anthology/P19-1077.pdf

• 代码链接：https://github.com/juntaoy/Dali-preprocessing-pipeline

Errudite: Scalable, Reproducible, and Testable Error Analysis

• 论文链接：https://www.aclweb.org/anthology/P19-1073.pdf

• 代码链接：https://github.com/uwdata/errudite

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

• 论文链接：https://www.aclweb.org/anthology/P19-1085.pdf

• 代码链接：https://github.com/thunlp/GEAR

Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference

• 论文链接：https://www.aclweb.org/anthology/P19-1084.pdf

• 代码链接：https://github.com/azpoliak/robust-nli

Knowledge-aware Pronoun Coreference Resolution

• 论文链接：https://www.aclweb.org/anthology/P19-1083.pdf

• 代码链接：https://github.com/HKUST-KnowComp/Pronoun-Coref-KG

HEAD-QA: A Healthcare Dataset for Complex Reasoning

• 论文链接：https://www.aclweb.org/anthology/P19-1092.pdf

• 代码链接：https://aghie.github.io/head-qa/

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts

• 论文链接：https://www.aclweb.org/anthology/P19-1096.pdf

• 代码链接：https://github.com/NUSTM/ECPE

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

• 论文链接：https://www.aclweb.org/anthology/P19-1098.pdf

• 代码链接：https://github.com/ucfnlp/summarization-dpp-capsnet

Heuristic Authorship Obfuscation

• 论文链接：https://www.aclweb.org/anthology/P19-1104.pdf

• 代码链接：https://github.com/webis-de/acl-19

Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions

• 论文链接：https://www.aclweb.org/anthology/P19-1112.pdf

• 代码链接：https://github.com/RiTUAL-UH/emphasis-2019

Self-Attentional Models for Lattice Inputs

• 论文链接：https://www.aclweb.org/anthology/P19-1115.pdf

• 代码链接：http://msperber.com/publication/sperber2019acl/

When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion

• 论文链接：https://www.aclweb.org/anthology/P19-1116.pdf

• 代码链接：https://github.com/lena-voita/good-translation-wrong-in-context

Syntactically Supervised Transformers for Faster Neural Machine Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1122.pdf

• 代码链接：https://github.com/dojoteef/synst

Graph Neural Networks with Generated Parameters for Relation Extraction

• 论文链接：https://www.aclweb.org/anthology/P19-1128.pdf

• 代码链接：https://github.com/thunlp/gp-gnn

Global Textual Relation Embedding for Relational Understanding

• 论文链接：https://www.aclweb.org/anthology/P19-1127.pdf

• 代码链接：https://github.com/czyssrs/GloREPlus

Joint Type Inference on Entities and Relations via Graph Convolutional Networks

• 论文链接：https://www.aclweb.org/anthology/P19-1131.pdf

• 代码链接：https://github.com/changzhisun/AntNRE

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

• 论文链接：https://www.aclweb.org/anthology/P19-1134.pdf

• 代码链接：https://github.com/DFKI-NLP/DISTRE

Multi-Channel Graph Neural Network for Entity Alignment

• 论文链接：https://www.aclweb.org/anthology/P19-1140.pdf

• 代码链接：https://github.com/thunlp/MuGNN

ERNIE: Enhanced Language Representation with Informative Entities

• 论文链接：https://www.aclweb.org/anthology/P19-1139.pdf

• 代码链接：https://github.com/thunlp/ERNIE

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction

• 论文链接：https://www.aclweb.org/anthology/P19-1137.pdf

• 代码链接：https://github.com/thunlp/DIAG-NRE

Improving Neural Language Models by Segmenting, Attending, and Predicting the Future

• 论文链接：https://www.aclweb.org/anthology/P19-1144.pdf

• 代码链接：https://github.com/luohongyin/PILM

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks

• 论文链接：https://www.aclweb.org/anthology/P19-1145.pdf

• 代码链接：https://github.com/vanzytay/QuaternionTransformers

Sparse Sequence-to-Sequence Models

• 论文链接：https://www.aclweb.org/anthology/P19-1146.pdf

• 代码链接：https://github.com/deep-spin/entmax https://github.com/deep-spin/OpenNMT-entmax

Exact Hard Monotonic Attention for Character-Level Transduction

• 论文链接：https://www.aclweb.org/anthology/P19-1148.pdf

• 代码链接：https://github.com/shijie-wu/neural-transducer

A Lightweight Recurrent Network for Sequence Modeling

• 论文链接：https://www.aclweb.org/anthology/P19-1149.pdf

• 代码链接：https://github.com/bzhangGo/lrn

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

• 论文链接：https://www.aclweb.org/anthology/P19-1150.pdf

• 代码链接：https://github.com/andyweizhao/NLP-Capsule

Open Vocabulary Learning for Neural Chinese Pinyin IME

• 论文链接：https://www.aclweb.org/anthology/P19-1154.pdf

• 代码链接：https://github.com/cooelf/OpenIME

LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories

• 论文链接：https://www.aclweb.org/anthology/P19-1165.pdf

• 代码链接：https://github.com/iiacobac/LSTMEmbed

Evaluating Gender Bias in Machine Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1164.pdf

• 代码链接：https://github.com/gabrielStanovsky/mt_gender

Meaning to Form: Measuring Systematicity as Information

• 论文链接：https://www.aclweb.org/anthology/P19-1171.pdf

• 代码链接：https://github.com/tpimentelms/meaning2form

Learning Deep Transformer Models for Machine Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1176.pdf

• 代码链接：https://github.com/wangqiangneu/dlcl

Expressing Visual Relationships via Language

• 论文链接：https://www.aclweb.org/anthology/P19-1182.pdf

• 代码链接：https://github.com/airsplay/VisualRelationships

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video

• 论文链接：https://www.aclweb.org/anthology/P19-1183.pdf

• 代码链接：https://github.com/zfchenUnique/WSSTG

Continual and Multi-Task Architecture Search

• 论文链接：https://www.aclweb.org/anthology/P19-1185.pdf

• 代码链接：https://github.com/ramakanth-pasunuru/CAS-MAS

Boosting Entity Linking Performance by Leveraging Unlabeled Documents

• 论文链接：https://www.aclweb.org/anthology/P19-1187.pdf

• 代码链接：https://github.com/lephong/wnel

Reinforced Training Data Selection for Domain Adaptation

• 论文链接：https://www.aclweb.org/anthology/P19-1189.pdf

• 代码链接：https://github.com/timerstime/SDG4DA

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding

• 论文链接：https://www.aclweb.org/anthology/P19-1190.pdf

• 代码链接：https://github.com/turboLJY/Coarse-to-Fine-Review-Generation

PaperRobot: Incremental Draft Generation of Scientific Ideas

• 论文链接：https://www.aclweb.org/anthology/P19-1191.pdf

• 代码链接：https://github.com/EagleW/PaperRobot

Towards Fine-grained Text Sentiment Transfer

• 论文链接：https://www.aclweb.org/anthology/P19-1194.pdf

• 代码链接：https://github.com/luofuli/Fine-grained-Sentiment-Transfer

Data-to-text Generation with Entity Modeling

• 论文链接：https://www.aclweb.org/anthology/P19-1195.pdf

• 代码链接：https://github.com/ratishsp/data2text-entity-py

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation

• 论文链接：https://www.aclweb.org/anthology/P19-1197v2.pdf

• 代码链接：https://github.com/lancopku/Pivot

Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization

• 论文链接：https://www.aclweb.org/anthology/P19-1201.pdf

• 代码链接：https://github.com/oceanypt/DIM

Learning to Select, Track, and Generate for Data-to-Text

• 论文链接：https://www.aclweb.org/anthology/P19-1202.pdf

• 代码链接：https://github.com/aistairc/sports-reporter

Reinforced Dynamic Reasoning for Conversational Question Generation

• 论文链接：https://www.aclweb.org/anthology/P19-1203.pdf

• 代码链接：https://github.com/ZJULearning/ReDR

Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking

• 论文链接：https://www.aclweb.org/anthology/P19-1206.pdf

• 代码链接：https://github.com/misonuma/strsum

Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards

• 论文链接：https://www.aclweb.org/anthology/P19-1208.pdf

• 代码链接：https://github.com/kenchan0226/keyphrase-generation-rl

Scoring Sentence Singletons and Pairs for Abstractive Summarization

• 论文链接：https://www.aclweb.org/anthology/P19-1209.pdf

• 代码链接：https://github.com/ucfnlp/summarization-sing-pair-mix

Self-Supervised Learning for Contextualized Extractive Summarization

• 论文链接：https://www.aclweb.org/anthology/P19-1214.pdf

• 代码链接：https://github.com/hongwang600/Summarization

Multi-Hop Paragraph Retrieval for Open-Domain Question Answering

• 论文链接：https://www.aclweb.org/anthology/P19-1222.pdf

• 代码链接：https://github.com/yairf11/MUPPET

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading

• 论文链接：https://www.aclweb.org/anthology/P19-1223.pdf

• 代码链接：https://github.com/vzhong/e3

Generating Question-Answer Hierarchies

• 论文链接：https://www.aclweb.org/anthology/P19-1224.pdf

• 代码链接：http://squash.cs.umass.edu/

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension

• 论文链接：https://www.aclweb.org/anthology/P19-1226.pdf

• 代码链接：https://github.com/paddlepaddle/models/tree/develop/PaddleNLP/Research/ACL2019-KTNT

Compound Probabilistic Context-Free Grammars for Grammar Induction

• 论文链接：https://www.aclweb.org/anthology/P19-1228.pdf

• 代码链接：https://github.com/harvardnlp/compound-pcfg

Semi-supervised Domain Adaptation for Dependency Parsing

• 论文链接：https://www.aclweb.org/anthology/P19-1229.pdf

• 代码链接：https://github.com/SUDA-LA/ACL2019-dp-cross-domain

Head-Driven Phrase Structure Grammar Parsing on Penn Treebank

• 论文链接：https://www.aclweb.org/anthology/P19-1230.pdf

• 代码链接：https://github.com/DoodleJZ/HPSG-Neural-Parser

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning

• 论文链接：https://www.aclweb.org/anthology/P19-1231.pdf

• 代码链接：https://github.com/v-mipeng/LexiconNER

Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies

• 论文链接：https://www.aclweb.org/anthology/P19-1232.pdf

• 代码链接：https://github.com/shuheikurita/semrl

GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

• 论文链接：https://www.aclweb.org/anthology/P19-1233.pdf

• 代码链接：https://github.com/Adaxry/GCDT

Unsupervised Learning of PCFGs with Normalizing Flow

• 论文链接：https://www.aclweb.org/anthology/P19-1234.pdf

• 代码链接：https://github.com/lifengjin/acl_flow

Cross-Domain NER using Cross-Domain Language Modeling

• 论文链接：https://www.aclweb.org/anthology/P19-1236.pdf

• 代码链接：https://github.com/jiachenwestlake/Cross-Domain_NER

Graph-based Dependency Parsing with Graph Neural Networks

• 论文链接：https://www.aclweb.org/anthology/P19-1237.pdf

• 代码链接：https://github.com/AntNLP/gnn-dep-parsing

Topic-Aware Neural Keyphrase Generation for Social Media Language

• 论文链接：https://www.aclweb.org/anthology/P19-1240.pdf

• 代码链接：https://github.com/yuewang-cuhk/TAKG

Multi-task Pairwise Neural Ranking for Hashtag Segmentation

• 论文链接：https://www.aclweb.org/anthology/P19-1242.pdf

• 代码链接：https://github.com/mounicam/hashtag_master

Predicting Human Activities from User-Generated Content

• 论文链接：https://www.aclweb.org/anthology/P19-1245.pdf

• 代码链接：https://lit.eecs.umich.edu/downloads.html

You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification

• 论文链接：https://www.aclweb.org/anthology/P19-1246.pdf

• 代码链接：https://github.com/anbasile/social-variation (currently not found)

Celebrity Profiling

• 论文链接：https://www.aclweb.org/anthology/P19-1249.pdf

• 代码链接：https://github.com/webis-de/ACL-19

Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media

• 论文链接：https://www.aclweb.org/anthology/P19-1246.pdf

• 代码链接：https://github.com/anbasile/social-variation (currently not found)

Argument Generation with Retrieval, Planning, and Realization

• 论文链接：https://www.aclweb.org/anthology/P19-1255.pdf

• 代码链接：https://xinyuhua.github.io/Resources/acl19/

Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information

• 论文链接：https://www.aclweb.org/anthology/P19-1257.pdf

• 代码链接：https://github.com/lancopku/CMAC

Cognitive Graph for Multi-Hop Reading Comprehension at Scale

• 论文链接：https://www.aclweb.org/anthology/P19-1259.pdf

• 代码链接：https://github.com/THUDM/CogQA

Exploiting Explicit Paths for Multi-hop Reading Comprehension

• 论文链接：https://www.aclweb.org/anthology/P19-1263.pdf

• 代码链接：https://github.com/allenai/PathNet

Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts

• 论文链接：https://www.aclweb.org/anthology/P19-1264.pdf

• 代码链接：https://github.com/src-d/wmd-relax https://github.com/eaclark07/sms

Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension

• 论文链接：https://www.aclweb.org/anthology/P19-1261.pdf

• 代码链接：https://github.com/jiangycTarheel/EPAr

Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA

• 论文链接：https://www.aclweb.org/anthology/P19-1262.pdf

• 代码链接：https://github.com/jiangycTarheel/Adversarial-MultiHopQA

Deep Dominance - How to Properly Compare Deep Neural Models

• 论文链接：https://www.aclweb.org/anthology/P19-1266.pdf

• 代码链接：https://github.com/rtmdrr/deepComparison

Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets

• 论文链接：https://www.aclweb.org/anthology/P19-1268.pdf

• 代码链接：https://github.com/wuningxi/LexSim

Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation

• 论文链接：https://www.aclweb.org/anthology/P19-1269.pdf

• 代码链接：https://github.com/nitikam/mteval-in-context

Joint Effects of Context and User History for Predicting Online Conversation Re-entries

• 论文链接：https://www.aclweb.org/anthology/P19-1270.pdf

• 代码链接：https://github.com/zxshamson/re-entry-prediction

Open Domain Event Extraction Using Neural Latent Variable Models

• 论文链接：https://www.aclweb.org/anthology/P19-1276.pdf

• 代码链接：https://github.com/lx865712528/ACL2019-ODEE

Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

• 论文链接：https://www.aclweb.org/anthology/P19-1277.pdf

• 代码链接：https://github.com/ZhixiuYe/MLMAN

Quantifying Similarity between Relations with Fact Distribution

• 论文链接：https://www.aclweb.org/anthology/P19-1278.pdf

• 代码链接：https://github.com/thunlp/relation-similarity

Fine-Grained Temporal Relation Extraction

• 论文链接：https://www.aclweb.org/anthology/P19-1280.pdf

• 代码链接：http://decomp.io/

Is Attention Interpretable?

• 论文链接：https://www.aclweb.org/anthology/P19-1282.pdf

• 代码链接：https://github.com/serrano-s/attn-tests

Correlating Neural and Symbolic Representations of Language

• 论文链接：https://www.aclweb.org/anthology/P19-1283.pdf

• 代码链接：https://github.com/gchrupala/ursa

Interpretable Neural Predictions with Differentiable Binary Variables

• 论文链接：https://www.aclweb.org/anthology/P19-1284.pdf

• 代码链接：https://github.com/bastings/interpretable_predictions

Transformer-XL: Attentive Language Models beyond a Fixed-Length Context

• 论文链接：https://www.aclweb.org/anthology/P19-1285.pdf

• 代码链接：https://github.com/kimiyoung/transformer-xl

Domain Adaptation of Neural Machine Translation by Lexicon Induction

• 论文链接：https://www.aclweb.org/anthology/P19-1286.pdf

• 代码链接：https://github.com/junjiehu/dali

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1288.pdf

• 代码链接：https://github.com/ictnlp/RSI-NAT

Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

• 论文链接：https://www.aclweb.org/anthology/P19-1291.pdf

• 代码链接：https://phoneticmt.github.io/

Leveraging Local and Global Patterns for Self-Attention Networks

• 论文链接：https://www.aclweb.org/anthology/P19-1295.pdf

• 代码链接：https://github.com/scewiner/Leveraging

Multi-Source Cross-Lingual Model Transfer: Learning What to Share

• 论文链接：https://www.aclweb.org/anthology/P19-1299.pdf

• 代码链接：https://github.com/microsoft/Multilingual-Model-Transfer

Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models

• 论文链接：https://www.aclweb.org/anthology/P19-1300.pdf

• 代码链接：https://github.com/twadada/multilingual-nlm

Choosing Transfer Languages for Cross-Lingual Learning

• 论文链接：https://www.aclweb.org/anthology/P19-1301.pdf

• 代码链接：https://github.com/neulab/langrank

Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B

• 论文链接：https://www.aclweb.org/anthology/P19-1303.pdf

• 代码链接：https://github.com/j-luo93/NeuroDecipher

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

• 论文链接：https://www.aclweb.org/anthology/P19-1304.pdf

• 代码链接：https://github.com/syxu828/Crosslingula-KG-Matching

Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention

• 论文链接：https://www.aclweb.org/anthology/P19-1305.pdf

• 代码链接：https://github.com/KelleyYin/Cross-lingual-Summarization

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections

• 论文链接：https://www.aclweb.org/anthology/P19-1311.pdf

• 代码链接：https://github.com/jxhe/cross-lingual-struct-flow

On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings

• 论文链接：https://www.aclweb.org/anthology/P19-1316.pdf

• 代码链接：https://github.com/uhh-lt/poincare

Relational Word Embeddings

• 论文链接：https://www.aclweb.org/anthology/P19-1318.pdf

• 代码链接：https://github.com/pedrada88/rwe

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

• 论文链接：https://www.aclweb.org/anthology/P19-1320.pdf

• 代码链接：https://github.com/malllabiisc/WordGCN

Annotation and Automatic Classification of Aspectual Categories

• 论文链接：https://www.aclweb.org/anthology/P19-1323.pdf

• 代码链接：https://github.com/wroberts/annotator

Putting Words in Context: LSTM Language Models and Lexical Ambiguity

• 论文链接：https://www.aclweb.org/anthology/P19-1324.pdf

• 代码链接：https://github.com/amore-upf/LSTM_ambiguity

Making Fast Graph-based Algorithms with Graph Metric Embeddings

• 论文链接：https://www.aclweb.org/anthology/P19-1325.pdf

• 代码链接：https://github.com/uhh-lt/path2vec

HighRES: Highlight-based Reference-less Evaluation of Summarization

• 论文链接：https://www.aclweb.org/anthology/P19-1330.pdf

• 代码链接：https://github.com/sheffieldnlp/highres

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing

• 论文链接：https://www.aclweb.org/anthology/P19-1331.pdf

• 代码链接：https://github.com/yuedongP/EditNTS

Transforming Complex Sentences into a Semantic Hierarchy

• 论文链接：https://www.aclweb.org/anthology/P19-1333.pdf

• 代码链接：https://github.com/Lambda-3/DiscourseSimplification

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

• 论文链接：https://www.aclweb.org/anthology/P19-1334.pdf

• 代码链接：https://github.com/tommccoy1/hans

Zero-Shot Entity Linking by Reading Entity Descriptions

• 论文链接：https://www.aclweb.org/anthology/P19-1335.pdf

• 代码链接：https://github.com/lajanugen/zeshel

An Imitation Learning Approach to Unsupervised Parsing

• 论文链接：https://www.aclweb.org/anthology/P19-1338.pdf

• 代码链接：https://github.com/libowen2121/Imitation-Learning-for-Unsup-Parsing

Multilingual Constituency Parsing with Self-Attention and Pre-Training

• 论文链接：https://www.aclweb.org/anthology/P19-1340.pdf

• 代码链接：https://github.com/nikitakit/self-attentive-parser

Tree Communication Models for Sentiment Analysis

• 论文链接：https://www.aclweb.org/anthology/P19-1342.pdf

• 代码链接：https://github.com/fred2008/TCMSA

Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering

• 论文链接：https://www.aclweb.org/anthology/P19-1350.pdf

• 代码链接：https://continual-vista.github.io/

Multi-grained Attention with Object-level Grounding for Visual Question Answering

• 论文链接：https://www.aclweb.org/anthology/P19-1349.pdf

• 代码链接：https://github.com/peteanderson80/bottom-up-attention

ELI5: Long Form Question Answering

• 论文链接：https://www.aclweb.org/anthology/P19-1346.pdf

• 代码链接：https://github.com/facebookresearch/ELI5

Literary Event Detection

• 论文链接：https://www.aclweb.org/anthology/P19-1353.pdf

• 代码链接：https://github.com/dbamman/ACL2019-literary-events

What Does BERT Learn about the Structure of Language?

• 论文链接：https://www.aclweb.org/anthology/P19-1356.pdf

• 代码链接：https://github.com/ganeshjawahar/interpret_bert

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention

• 论文链接：https://www.aclweb.org/anthology/P19-1360.pdf

• 代码链接：https://github.com/wenhuchen/HDSA-Dialog

Comparison of Diverse Decoding Methods from Conditional Language Models

• 论文链接：https://www.aclweb.org/anthology/P19-1365.pdf

• 代码链接：https://github.com/rekriz11/DeDiv

Proactive Human-Machine Conversation with Explicit Conversation Goal

• 论文链接：https://www.aclweb.org/anthology/P19-1369.pdf

• 代码链接：https://github.com/PaddlePaddle/models/tree/develop/PaddleNLP/Research/ACL2019-DuConv

End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories

• 论文链接：https://www.aclweb.org/anthology/P19-1378.pdf

• 代码链接：https://github.com/RuiMao1988/Sequential-Metaphor-Identification

Attention-based Conditioning Methods for External Knowledge Integration

• 论文链接：https://www.aclweb.org/anthology/P19-1385.pdf

• 代码链接：https://github.com/mourga/affective-attention

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution

• 论文链接：https://www.aclweb.org/anthology/P19-1386.pdf

• 代码链接：https://github.com/aemami1/KnowRef

StRE: Self Attentive Edit Quality Prediction in Wikipedia

• 论文链接：https://www.aclweb.org/anthology/P19-1387.pdf

• 代码链接：https://github.com/bhanu77prakash/StRE

How Large Are Lions? Inducing Distributions over Quantitative Attributes

• 论文链接：https://www.aclweb.org/anthology/P19-1388.pdf

• 代码链接：https://github.com/google-research-datasets/distribution-over-quantities

Fine-Grained Sentence Functions for Short-Text Conversation

• 论文链接：https://www.aclweb.org/anthology/P19-1389.pdf

• 代码链接：https://ai.tencent.com/ailab/nlp/dialogue/

Distant Learning for Entity Linking with Automatic Noise Detection

• 论文链接：https://www.aclweb.org/anthology/P19-1400.pdf

• 代码链接：https://github.com/lephong/dl4el

Hubless Nearest Neighbor Search for Bilingual Lexicon Induction

• 论文链接：https://www.aclweb.org/anthology/P19-1399.pdf

• 代码链接：https://github.com/baidu-research/HNN

Learning How to Active Learn by Dreaming

• 论文链接：https://www.aclweb.org/anthology/P19-1401.pdf

• 代码链接：https://github.com/trangvu/alil-dream

Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models

• 论文链接：https://www.aclweb.org/anthology/P19-1403.pdf

• 代码链接：https://github.com/xiaoleihuang/Neural_Temporality_Adaptation

Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models

• 论文链接：https://www.aclweb.org/anthology/P19-1405.pdf

• 代码链接：https://github.com/RamboWANG/acl2019

TIGS: An Inference Algorithm for Text Infilling with Gradient Search

• 论文链接：https://www.aclweb.org/anthology/P19-1406.pdf

• 代码链接：https://github.com/dayihengliu/Text-Infilling-Gradient-Search

Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution

• 论文链接：https://www.aclweb.org/anthology/P19-1409.pdf

• 代码链接：https://github.com/shanybar/event_entity_coref_ecb_plus

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing

• 论文链接：https://www.aclweb.org/anthology/P19-1410.pdf

• 代码链接：https://ntunlpsg.github.io/project/parser/pointer-net-parser/

Multi-Relational Script Learning for Discourse Relations

• 论文链接：https://www.aclweb.org/anthology/P19-1413.pdf

• 代码链接：https://github.com/doug919/multi_relational_script_learning

Compositional Questions Do Not Necessitate Multi-hop Reasoning

• 论文链接：https://www.aclweb.org/anthology/P19-1416.pdf

• 代码链接：https://github.com/shmsw25/single-hop-rc

AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing

• 论文链接：https://www.aclweb.org/anthology/P19-1418.pdf

• 代码链接：https://github.com/zxteloiv/AdaNSP

The Language of Legal and Illegal Activity on the Darknet

• 论文链接：https://www.aclweb.org/anthology/P19-1419.pdf

• 代码链接：https://github.com/huji-nlp/cyber

Elicit4ing Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis

• 论文链接：https://www.aclweb.org/anthology/P19-1420.pdf

• 代码链接：https://github.com/cnrpman/procedural-extraction

Course Concept Expansion in MOOCs with External Knowledge and Interactive Game

• 论文链接：https://www.aclweb.org/anthology/P19-1421.pdf

• 代码链接：https://github.com/thukg/concept-expansion-kg

Towards Near-imperceptible Steganographic Text

• 论文链接：https://www.aclweb.org/anthology/P19-1422.pdf

• 代码链接：https://github.com/falcondai/lm-steganography

Beyond BLEU:Training Neural Machine Translation with Semantic Similarity

• 论文链接：https://www.aclweb.org/anthology/P19-1427.pdf

• 代码链接：https://www.cs.cmu.edu/~jwieting/

Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning

• 论文链接：https://www.aclweb.org/anthology/P19-1429.pdf

• 代码链接：https://github.com/luyaojie/delta-learning-for-ed

Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge

• 论文链接：https://www.aclweb.org/anthology/P19-1430.pdf

• 代码链接：https://github.com/thunlp/Chinese_NRE

Embedding Time Expressions for Deep Temporal Ordering Models

• 论文链接：https://www.aclweb.org/anthology/P19-1433.pdf

• 代码链接：https://github.com/tagoyal/Temporal-event-ordering

Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data

• 论文链接：https://www.aclweb.org/anthology/P19-1434.pdf

• 代码链接：https://github.com/h19920918/emr

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

• 论文链接：https://www.aclweb.org/anthology/P19-1435.pdf

• 代码链接：https://github.com/ghzhang233/Leakage-Neutral-Learning-for-QuoraQP

Zero-Shot Semantic Parsing for Instructions

• 论文链接：https://www.aclweb.org/anthology/P19-1438.pdf

• 代码链接：https://github.com/givoli/TechnionNLI

Multi-Task Deep Neural Networks for Natural Language Understanding

• 论文链接：https://www.aclweb.org/anthology/P19-1441.pdf

• 代码链接：https://github.com/namisan/mt-dnn

SemBleu: A Robust Metric for AMR Parsing Evaluation

• 论文链接：https://www.aclweb.org/anthology/P19-1446.pdf

• 代码链接：https://github.com/freesunshine0316/sembleu

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing

• 论文链接：https://www.aclweb.org/anthology/P19-1448.pdf

• 代码链接：https://github.com/benbogin/spider-schema-gnn

Compositional Semantic Parsing across Graphbanks

• 论文链接：https://www.aclweb.org/anthology/P19-1450.pdf

• 代码链接：https://github.com/coli-saar/am-parser

Simple and Effective Paraphrastic Similarity from Parallel Translations

• 论文链接：https://www.aclweb.org/anthology/P19-1453.pdf

• 代码链接：https://www.cs.cmu.edu/~jwieting/

Second-Order Semantic Dependency Parsing with End-to-End Neural Networks

• 论文链接：https://www.aclweb.org/anthology/P19-1454.pdf

• 代码链接：https://github.com/wangxinyu0922/Second_Order_SDP

Latent Variable Sentiment Grammar

• 论文链接：https://www.aclweb.org/anthology/P19-1457.pdf

• 代码链接：https://github.com/Ehaschia/bi-tree-lstm-crf

Probing Neural Network Comprehension of Natural Language Arguments

• 论文链接：https://www.aclweb.org/anthology/P19-1459.pdf

• 代码链接：https://github.com/IKMLab/arct2

Toward Comprehensive Understanding of a Sentiment Based on Human Motives

• 论文链接：https://www.aclweb.org/anthology/P19-1461.pdf

• 代码链接：https://github.com/notani/acl2019-human-motive-identification

An Empirical Study of Span Representations in Argumentation Structure Parsing

• 论文链接：https://www.aclweb.org/anthology/P19-1464.pdf

• 代码链接：https://github.com/kuribayashi4/span_based_argumentation_parser

Duality of Link Prediction and Entailment Graph Induction

• 论文链接：https://www.aclweb.org/anthology/P19-1468.pdf

• 代码链接：https://github.com/mjhosseini/linkpred_entgraph

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction

• 论文链接：https://www.aclweb.org/anthology/P19-1470.pdf

• 代码链接：https://github.com/atcbosselut/comet-commonsense

Unified Semantic Parsing with Weak Supervision

• 论文链接：https://www.aclweb.org/anthology/P19-1473.pdf

• 代码链接：https://github.com/pagrawal-ml/Unified-Semantic-Parsing

Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings

• 论文链接：https://www.aclweb.org/anthology/P19-1474.pdf

• 代码链接：https://github.com/uhh-lt/Taxonomy_Refinement_Embeddings

Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment

• 论文链接：https://www.aclweb.org/anthology/P19-1476.pdf

• 代码链接：https://github.com/codogogo/glen

Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model

• 论文链接：https://www.aclweb.org/anthology/P19-1479.pdf

• 代码链接：https://github.com/lancopku/Graph-to-seq-comment-generation

Interc4onnected Question Generation with Coreference Alignment and Conversation Flow Modeling

• 论文链接：https://www.aclweb.org/anthology/P19-1480.pdf

• 代码链接：https://github.com/Yifan-Gao/conversaional-QG

Cross-Lingual Training for Automatic Question Generation

• 论文链接：https://www.aclweb.org/anthology/P19-1481.pdf

• 代码链接：https://github.com/vishwajeet93/clqg

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer

• 论文链接：https://www.aclweb.org/anthology/P19-1482.pdf

• 代码链接：https://github.com/ChenWu98/Point-Then-Operate

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation

• 论文链接：https://www.aclweb.org/anthology/P19-1483.pdf

• 代码链接：https://github.com/google-research/language/tree/master/language/table_text_eval

Unsupervised Question Answering by Cloze Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1484.pdf

• 代码链接：https://github.com/facebookresearch/UnsupervisedQA

MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension

• 论文链接：https://www.aclweb.org/anthology/P19-1485.pdf

• 代码链接：https://github.com/alontalmor/multiqa

A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity

• 论文链接：https://www.aclweb.org/anthology/P19-1489.pdf

• 代码链接：https://github.com/akkikiki/modularity_metric

Bilingual Lexicon Induction through Unsupervised Machine Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1494.pdf

• 代码链接：https://github.com/artetxem/monoses

Automatically Identifying Complaints in Social Media

• 论文链接：https://www.aclweb.org/anthology/P19-1495.pdf

• 代码链接：https://github.com/danielpreotiuc/complaints-social-media

Hierarchical Transformers for Multi-Document Summarization

• 论文链接：https://www.aclweb.org/anthology/P19-1500.pdf

• 代码链接：https://github.com/nlpyang/hiersumm

Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization

• 论文链接：https://www.aclweb.org/anthology/P19-1501.pdf

• 代码链接：https://github.com/pkouris/abtextsum

Studying Summarization Evaluation Metrics in the Appropriate Scoring Range

• 论文链接：https://www.aclweb.org/anthology/P19-1502.pdf

• 代码链接：https://github.com/PeyrardM/acl-2019-Compare_Evaluation_Metrics

Simple Unsupervised Summarization by Contextual Matching

• 论文链接：https://www.aclweb.org/anthology/P19-1503.pdf

• 代码链接：https://github.com/jzhou316/Unsupervised-Sentence-Summarization

Generating Summaries with Topic Templates and Structured Convolutional Decoders

• 论文链接：https://www.aclweb.org/anthology/P19-1504.pdf

• 代码链接：https://github.com/lauhaide/WikiCatSum

Morphological Irregularity Correlates with Frequency

• 论文链接：https://www.aclweb.org/anthology/P19-1505.pdf

• 代码链接：https://github.com/shijie-wu/neural-transducer

Relating Simple Sentence Representations in Deep Neural Networks and the Brain

• 论文链接：https://www.aclweb.org/anthology/P19-1507.pdf

• 代码链接：https://github.com/SharmisthaJat/ACL2019-SimpleSentenceRepr-DNN-Brain

Word-order Biases in Deep-agent Emergent Communication

• 论文链接：https://www.aclweb.org/anthology/P19-1509.pdf

• 代码链接：https://github.com/facebookresearch/brica

Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks

• 论文链接：https://www.aclweb.org/anthology/P19-1511.pdf

• 代码链接：https://github.com/sanmusunrise/ARNs

Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction

• 论文链接：https://www.aclweb.org/anthology/P19-1513.pdf

• 代码链接：https://github.com/IBM/science-result-extractor

Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems

• 论文链接：https://www.aclweb.org/anthology/P19-1517.pdf

• 代码链接：https://github.com/zoezou2015/quantity_tagger

A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification

• 论文链接：https://www.aclweb.org/anthology/P19-1518.pdf

• 代码链接：https://github.com/lancopku/Seq2Set

Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision

• 论文链接：https://www.aclweb.org/anthology/P19-1520.pdf

• 代码链接：https://github.com/HKUST-KnowComp/RINANTE

Improving Open Information Extraction via Iterative Rank-Aware Learning

• 论文链接：https://www.aclweb.org/anthology/P19-1523.pdf

• 代码链接：https://github.com/jzbjyb/oie_rank

Towards Improving Neural Named Entity Recognition with Gazetteers

• 论文链接：https://www.aclweb.org/anthology/P19-1524.pdf

• 代码链接：https://github.com/lyutyuh/acl19_subtagger

How to Best Use Syntax in Semantic Role Labelling

• 论文链接：https://www.aclweb.org/anthology/P19-1529.pdf

• 代码链接：https://github.com/GaryYufei/bestParseSRL

PTB Graph Parsing with Tree Approximation

• 论文链接：https://www.aclweb.org/anthology/P19-1530.pdf

• 代码链接：https://github.com/yosihide/ptb2cf

Sequence Labeling Parsing by Learning across Representations

• 论文链接：https://www.aclweb.org/anthology/P19-1531.pdf

• 代码链接：https://github.com/mstrise/seq2label-crossrep

A Prism Module for Semantic Disentanglement in Name Entity Recognition

• 论文链接：https://www.aclweb.org/anthology/P19-1532.pdf

• 代码链接：https://github.com/liukun95/Prism-Module

Label-Agnostic Sequence Labeling by Copying Nearest Neighbors

• 论文链接：https://www.aclweb.org/anthology/P19-1533.pdf

• 代码链接：https://github.com/swiseman/neighbor-tagging

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading

• 论文链接：https://www.aclweb.org/anthology/P19-1539.pdf

• 代码链接：https://github.com/qkaren/converse_reading_cmr

Personalizing Dialogue Agents via Meta-Learning

• 论文链接：https://www.aclweb.org/anthology/P19-1542.pdf

• 代码链接：https://github.com/HLTCHKUST/PAML

A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling

• 论文链接：https://www.aclweb.org/anthology/P19-1544.pdf

• 代码链接：https://github.com/ZephyrChenzf/SF-ID-Network-For-NLU

Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming

• 论文链接：https://www.aclweb.org/anthology/P19-1551.pdf

• 代码链接：https://github.com/FilippoC/diffdp

Better Exploiting Latent Variables in Text Modeling

• 论文链接：https://www.aclweb.org/anthology/P19-1553.pdf

• 代码链接：https://research-lab.yahoo.co.jp/en/software/

Soft Contextual Data Augmentation for Neural Machine Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1555.pdf

• 代码链接：https://github.com/teslacool/SCA

Combating Ad4versarial Misspellings with Robust Word Recognition

• 论文链接：https://www.aclweb.org/anthology/P19-1561.pdf

• 代码链接：https://github.com/danishpruthi/Adversarial-Misspellings

An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing

• 论文链接：https://www.aclweb.org/anthology/P19-1562.pdf

• 代码链接：https://github.com/zzsfornlp/zmsp

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes

• 论文链接：https://www.aclweb.org/anthology/P19-1563.pdf

• 代码链接：https://github.com/utahnlp/therapist-observer

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems

• 论文链接：https://www.aclweb.org/anthology/P19-1564.pdf

• 代码链接：https://github.com/henryhungle/MTN

Target-Guided Open-Domain Conversation

• 论文链接：https://www.aclweb.org/anthology/P19-1565.pdf

• 代码链接：https://github.com/squareRoot3/Target-Guided-Conversation

Zero-s4hot Word Sense Disambiguation using Sense Definition Embeddings

• 论文链接：https://www.aclweb.org/anthology/P19-1568.pdf

• 代码链接：https://github.com/malllabiisc/EWISE

Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good

• 论文链接：https://www.aclweb.org/anthology/P19-1566.pdf

• 代码链接：https://gitlab.com/ucdavisnlp/persuasionforgood

Mod4eling Semantic Compositionality with Sememe Knowledge

• 论文链接：https://www.aclweb.org/anthology/P19-1571.pdf

• 代码链接：https://github.com/thunlp/Sememe-SC

Collocation Classification with Unsupervised Relation Vectors

• 论文链接：https://www.aclweb.org/anthology/P19-1576.pdf

• 代码链接：https://bitbucket.org/luisespinosa/lexfunc/src/master/

Generalized Data Augmentation for Low-Resource Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1579.pdf

• 代码链接：https://github.com/xiamengzhou/DataAugForLRL

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

• 论文链接：https://www.aclweb.org/anthology/P19-1580.pdf

• 代码链接：https://github.com/lena-voita/the-story-of-heads

Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1583.pdf

• 代码链接：https://github.com/cindyxinyiwang/TCS

Merge and Label: A Novel Neural Network Architecture for Nested NER

• 论文链接：https://www.aclweb.org/anthology/P19-1585.pdf

• 代码链接：https://github.com/fishjh2/merge_label

Variatio4nal Pretraining for Semi-supervised Text Classification

• 论文链接：https://www.aclweb.org/anthology/P19-1590.pdf

• 代码链接：https://github.com/allenai/vampire

Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation

• 论文链接：https://www.aclweb.org/anthology/P19-1591.pdf

• 代码链接：https://github.com/yftah89/TRL-PBLM

The Referential Reader: A Recurrent Entity Network for Anaphora Resolution

• 论文链接：https://www.aclweb.org/anthology/P19-1593.pdf

• 代码链接：https://github.com/liufly/refreader

BAM! Born-Again Multi-Task Networks for Natural Language Understanding

• 论文链接：https://www.aclweb.org/anthology/P19-1595.pdf

• 代码链接：https://github.com/google-research/google-research/tree/master/bam

Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling

• 论文链接：https://www.aclweb.org/anthology/P19-1598.pdf

• 代码链接：https://github.com/rloganiv/kglm-model

Generating Sentences from Disentangled Syntactic and Semantic Spaces

• 论文链接：https://www.aclweb.org/anthology/P19-1602.pdf

• 代码链接：https://github.com/baoy-nlp/DSS-VAE

Lear4ning to Control the Fine-grained Sentiment for Story Ending Generation

• 论文链接：https://www.aclweb.org/anthology/P19-1603.pdf

• 代码链接：https://github.com/luofuli/sentimental-story-ending

Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge

• 论文链接：https://www.aclweb.org/anthology/P19-1614.pdf

• 代码链接：https://github.com/Ashprakash/CKLM

Multi-hop Reading Comprehension through Question Decomposition and Rescoring

• 论文链接：https://www.aclweb.org/anthology/P19-1613.pdf

• 代码链接：https://github.com/shmsw25/DecompRC

RankQA: Neural Question Answering with Answer Re-Ranking

• 论文链接：https://www.aclweb.org/anthology/P19-1611.pdf

• 代码链接：https://github.com/bernhard2202/rankqa

Learning Represe4ntation Mapping for Relation Detection in Knowledge Base Question Answering

• 论文链接：https://www.aclweb.org/anthology/P19-1616.pdf

• 代码链接：https://github.com/wudapeng268/KBQA-Adapter

Dynamically Fused Graph Network for Multi-hop Reasoning

• 论文链接：https://www.aclweb.org/anthology/P19-1617.pdf

• 代码链接：https://github.com/woshiyyya/DFGN-pytorch

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language

• 论文链接：https://www.aclweb.org/anthology/P19-1618.pdf

• 代码链接：https://github.com/leonweber/nlprolog

Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions

• 论文链接：https://www.aclweb.org/anthology/P19-1619.pdf

• 代码链接：https://github.com/lijierui/group-attention

Are Red Roses Red? Evaluating Consistency of Question-Answering Models

• 论文链接：https://www.aclweb.org/anthology/P19-1621.pdf

• 代码链接：https://github.com/marcotcr/qa_consistency

Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions

• 论文链接：https://www.aclweb.org/anthology/P19-1625.pdf

• 代码链接：https://blablablab.si.umich.edu/projects/naija/

Sentence Centrality Revisited for Unsupervised Summarization

• 论文链接：https://www.aclweb.org/anthology/P19-1628.pdf

• 代码链接：https://github.com/mswellhao/PacSum

Discourse Representation Parsing for Sentences and Documents

• 论文链接：https://www.aclweb.org/anthology/P19-1629.pdf

• 代码链接：https://github.com/LeonCrashCode/TreeDRSparsing

Matching Article Pairs with Graphical Decomposition and Convolutions

• 论文链接：https://www.aclweb.org/anthology/P19-1632.pdf

• 代码链接：https://github.com/BangLiu/ArticlePairMatching

Bias Analysis and Mitigation in the Evaluation of Authorship Verification

• 论文链接：https://www.aclweb.org/anthology/P19-1634.pdf

• 代码链接：https://github.com/webis-de/acl-19

Large-Scale Multi-Label Text Classification on EU Legislation

• 论文链接：https://www.aclweb.org/anthology/P19-1636.pdf

• 代码链接：https://github.com/iliaschalkidis/lmtc-eurlex57k

Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification

• 论文链接：https://www.aclweb.org/anthology/P19-1638.pdf

• 代码链接：https://github.com/tuvuumass/SCoPE

Latent Variable Model for Multi-modal Translation

• 论文链接：https://www.aclweb.org/anthology/P19-1642.pdf

• 代码链接：https://github.com/iacercalixto/variational_mmt

Identifying Visible Actions in Lifestyle Vlogs

• 论文链接：https://www.aclweb.org/anthology/P19-1643.pdf

• 代码链接：https://lit.eecs.umich.edu/downloads.html

Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language

• 论文链接：https://www.aclweb.org/anthology/P19-1647.pdf

• 代码链接：https://github.com/gchrupala/symbolic-bias

Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning

• 论文链接：https://www.aclweb.org/anthology/P19-1652.pdf

• 代码链接：https://github.com/LibertFan/ImageCaption

VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions

• 论文链接：https://www.aclweb.org/anthology/P19-1654.pdf

• 代码链接：https://github.com/ImperialNLP/vifidel