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Display citations for opensourced ACL19 papers, with pdf and code links

acl19-paper-citation-and-link-to-code's Introduction

Top-cited open-sourced ACL19 papers:

Transformer-XL: Attentive Language Models beyond a Fixed-Length Context (citation 445)

论文链接：https://www.aclweb.org/anthology/P19-1285.pdf
代码链接：https://github.com/kimiyoung/transformer-xl

Multi-Task Deep Neural Networks for Natural Language Understanding (citation 237)

论文链接：https://www.aclweb.org/anthology/P19-1441.pdf
代码链接：https://github.com/namisan/mt-dnn

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference (citation 105)

论文链接：https://www.aclweb.org/anthology/P19-1334.pdf
代码链接：https://github.com/tommccoy1/hans

ERNIE: Enhanced Language Representation with Informative Entities (citation 92)

论文链接：https://www.aclweb.org/anthology/P19-1139.pdf
代码链接：https://github.com/thunlp/ERNIE

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned (citation 89)

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

What Does BERT Learn about the Structure of Language? (citation 76)

论文链接：https://www.aclweb.org/anthology/P19-1356.pdf
代码链接：https://github.com/ganeshjawahar/interpret_bert

Is Attention Interpretable? (citation 61)

论文链接：https://www.aclweb.org/anthology/P19-1282.pdf
代码链接：https://github.com/serrano-s/attn-tests

How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions (citation 61)

论文链接：https://www.aclweb.org/anthology/P19-1070.pdf
代码链接：https://github.com/codogogo/xling-eval

Probing Neural Network Comprehension of Natural Language Arguments (citation 58)

论文链接：https://www.aclweb.org/anthology/P19-1459.pdf
代码链接：https://github.com/IKMLab/arct2

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction (citation 43)

论文链接：https://www.aclweb.org/anthology/P19-1470.pdf
代码链接：https://github.com/atcbosselut/comet-commonsense

MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension (citation 42)

论文链接：https://www.aclweb.org/anthology/P19-1485.pdf
代码链接：https://github.com/alontalmor/multiqa

Attention Guided Graph Convolutional Networks for Relation Extraction (citation 36)

论文链接：https://www.aclweb.org/anthology/P19-1024.pdf
代码链接：http://www.statnlp.org/research/information-extraction1

Cognitive Graph for Multi-Hop Reading Comprehension at Scale (citation 36)

论文链接：https://www.aclweb.org/anthology/P19-1259.pdf
代码链接：https://github.com/THUDM/CogQA

Compositional Questions Do Not Necessitate Multi-hop Reasoning (citation 34)

论文链接：https://www.aclweb.org/anthology/P19-1416.pdf
代码链接：https://github.com/shmsw25/single-hop-rc

BAM! Born-Again Multi-Task Networks for Natural Language Understanding (citation 34)

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

Learning Deep Transformer Models for Machine Translation (citation 32)

论文链接：https://www.aclweb.org/anthology/P19-1176.pdf
代码链接：https://github.com/wangqiangneu/dlcl

Head-Driven Phrase Structure Grammar Parsing on Penn Treebank (citation 32)

论文链接：https://www.aclweb.org/anthology/P19-1230.pdf
代码链接：https://github.com/DoodleJZ/HPSG-Neural-Parser

The rest can be found in ACL2019 paper, citation and link to code

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