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ORCIDTransactions of the Association for Computational Linguistics, Volume 8
Volume 8, 2020
- Tiago Pimentel, Brian Roark, Ryan Cotterell:
Phonotactic Complexity and its Trade-offs. 1-18 - Tianming Wang, Xiaojun Wan, Hanqi Jin:
AMR-To-Text Generation with Graph Transformer. 19-33 - Allyson Ettinger:
What BERT is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models. 34-48 - Sorami Hisamoto, Matt Post, Kevin Duh:
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System? 49-63 - Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy:
SpanBERT: Improving Pre-training by Representing and Predicting Spans. 64-77 - Hang Yan, Xipeng Qiu
, Xuanjing Huang:
A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing. 78-92 - Jian Guan, Fei Huang, Minlie Huang, Zhihao Zhao, Xiaoyan Zhu:
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. 93-108 - Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig:
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. 109-124 - R. Thomas McCoy, Robert Frank, Tal Linzen:
Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks. 125-140 - Kai Sun, Dian Yu, Dong Yu, Claire Cardie:
Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension. 141-155 - Michael Hahn:
Theoretical Limitations of Self-Attention in Neural Sequence Models. 156-171 - Ji Zhang, Chengyao Chen, Pengfei Liu, Chao He, Cane Wing-Ki Leung:
Target-Guided Structured Attention Network for Target-dependent Sentiment Analysis. 172-182 - Tomer Wolfson, Mor Geva, Ankit Gupta, Yoav Goldberg, Matt Gardner, Daniel Deutch, Jonathan Berant:
Break It Down: A Question Understanding Benchmark. 183-198 - Xi (Leslie) Chen, Sarah Ita Levitan, Michelle Levine, Marko Mandic, Julia Hirschberg:
Acoustic-Prosodic and Lexical Cues to Deception and Trust: Deciphering How People Detect Lies. 199-214 - Noriki Nishida, Hideki Nakayama:
Unsupervised Discourse Constituency Parsing Using Viterbi EM. 215-230 - Vesna Djokic, Jean Maillard, Luana Bulat, Ekaterina Shutova:
Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension using Distributional Semantic Models. 231-246 - Burr Settles, Masato Hagiwara, Geoffrey T. LaFlair:
Machine Learning Driven Language Assessment. 247-263 - Sascha Rothe, Shashi Narayan, Aliaksei Severyn:
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. 264-280 - Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, Minlie Huang:
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset. 281-295 - Jey Han Lau, Carlos Santos Armendariz, Matthew Purver, Chang Shu, Shalom Lappin:
How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context. 296-310 - Kushal Arora, Aishik Chakraborty, Jackie Chi Kit Cheung:
Learning Lexical Subspaces in a Distributional Vector Space. 311-329 - Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha P. Talukdar:
Syntax-Guided Controlled Generation of Paraphrases. 330-345 - Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer:
Better Document-Level Machine Translation with Bayes' Rule. 346-360 - Ion Madrazo Azpiazu, Maria Soledad Pera:
Hierarchical Mapping for Cross-lingual Word Embedding Alignment. 361-376 - Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman:
BLiMP: The Benchmark of Linguistic Minimal Pairs for English. 377-392 - Xuan Zhang, Kevin Duh:
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems. 393-408 - Alexander Clark, Nathanaël Fijalkow:
Consistent Unsupervised Estimators for Anchored PCFGs. 409-422 - Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig:
How Can We Know What Language Models Know. 423-438 - Adji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei:
Topic Modeling in Embedding Spaces. 439-453 - Jonathan H. Clark, Jennimaria Palomaki, Vitaly Nikolaev, Eunsol Choi, Dan Garrette, Michael Collins, Tom Kwiatkowski:
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. 454-470 - Lixing Zhu, Deyu Zhou, Yulan He:
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. 471-485 - Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty:
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings. 486-503 - Eyal Ben-David, Carmel Rabinovitz, Roi Reichart:
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models. 504-521 - Juri Opitz, Anette Frank, Letitia Parcalabescu:
AMR Similarity Metrics from Principles. 522-538 - Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Francisco Guzmán, Mark Fishel, Nikolaos Aletras, Vishrav Chaudhary, Lucia Specia:
Unsupervised Quality Estimation for Neural Machine Translation. 539-555 - Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov:
Task-Oriented Dialogue as Dataflow Synthesis. 556-571 - Kyle Richardson, Ashish Sabharwal:
What Does My QA Model Know? Devising Controlled Probes using Expert. 572-588 - Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych:
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. 589-604 - Takashi Shibuya, Eduard H. Hovy:
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding. 605-620 - Lifu Tu, Garima Lalwani, Spandana Gella, He He:
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models. 621-633 - Jared Lichtarge, Chris Alberti, Shankar Kumar:
Data Weighted Training Strategies for Grammatical Error Correction. 634-646 - Hao Zhu, Yonatan Bisk, Graham Neubig:
The Return of Lexical Dependencies: Neural Lexicalized PCFGs. 647-661 - Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp:
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension. 662-678 - Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett:
Sketch-Driven Regular Expression Generation from Natural Language and Examples. 679-694 - Matthias Sperber, Hendra Setiawan, Christian Gollan, Udhay Nallasamy, Matthias Paulik:
Consistent Transcription and Translation of Speech. 695-709 - Benjamin Marie, Atsushi Fujita:
Synthesizing Parallel Data of User-Generated Texts with Zero-Shot Neural Machine Translation. 710-725 - Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. 726-742 - Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant:
oLMpics - On what Language Model Pre-training Captures. 743-758 - Edwin Simpson, Yang Gao, Iryna Gurevych:
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. 759-775 - Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining for Bidirectional Encoders. 776-794 - Clara Meister, Ryan Cotterell, Tim Vieira:
Best-First Beam Search. 795-809 - Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, Mitesh M. Khapra:
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining. 810-827 - Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith:
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. 828-841 - Anna Rogers, Olga Kovaleva, Anna Rumshisky:
A Primer in BERTology: What We Know About How BERT Works. 842-866 - Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman:
Erratum: "BLiMP: The Benchmark of Linguistic Minimal Pairs for English". 867-868
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