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ORCIDEMNLP 2021: Virtual Event / Punta Cana, Dominican Republic
- Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. Association for Computational Linguistics 2021 - Frontmatter.
- Jongyoon Song, Sungwon Kim, Sungroh Yoon:
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. 1-14 - Guanhua Chen, Shuming Ma, Yun Chen, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei:
Zero-Shot Cross-Lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders. 15-26 - Xuan Ouyang, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora. 27-38 - Dan Liu, Mengge Du, Xiaoxi Li, Ya Li, Enhong Chen:
Cross Attention Augmented Transducer Networks for Simultaneous Translation. 39-55 - Kunrui Zhu, Yan Gao, Jiaqi Guo, Jian-Guang Lou:
Translating Headers of Tabular Data: A Pilot Study of Schema Translation. 56-66 - Yunlong Liang, Chulun Zhou
, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. 67-79 - Yicheng Zou, Bolin Zhu, Xingwu Hu, Tao Gui, Qi Zhang:
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining. 80-91 - Zhengyuan Liu, Nancy F. Chen:
Controllable Neural Dialogue Summarization with Personal Named Entity Planning. 92-106 - Sen Zhang, Jianwei Niu, Chuyuan Wei:
Fine-grained Factual Consistency Assessment for Abstractive Summarization Models. 107-116 - Chao-Chun Hsu, Chenhao Tan:
Decision-Focused Summarization. 117-132 - Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong:
Multiplex Graph Neural Network for Extractive Text Summarization. 133-139 - Sascha Rothe, Joshua Maynez, Shashi Narayan:
A Thorough Evaluation of Task-Specific Pretraining for Summarization. 140-145 - Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu:
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. 146-154 - Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li:
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context. 155-164 - Xiangyu Lin, Tianyi Liu, Weijia Jia, Zhiguo Gong:
Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning. 165-174 - Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification. 175-184 - Zhiheng Yan, Chong Zhang, Jinlan Fu, Qi Zhang, Zhongyu Wei:
A Partition Filter Network for Joint Entity and Relation Extraction. 185-197 - Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu:
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. 198-207 - Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu, Ruifeng Xu:
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. 208-218 - Entony Lekhtman, Yftah Ziser, Roi Reichart:
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction. 219-230 - Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel:
Improving Multimodal fusion via Mutual Dependency Maximisation. 231-245 - Zhengyan Li, Yicheng Zou, Chong Zhang, Qi Zhang, Zhongyu Wei:
Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training. 246-256 - Qianlong Wang, Zhiyuan Wen, Qin Zhao, Min Yang, Ruifeng Xu:
Progressive Self-Training with Discriminator for Aspect Term Extraction. 257-268 - Hao Chen, Rui Xia, Jianfei Yu:
Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification. 269-278 - Jian Zhu, David Jurgens:
Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles. 279-297 - Andrew Piper, Richard Jean So, David Bamman:
Narrative Theory for Computational Narrative Understanding. 298-311 - Kenneth Joseph, Sarah Shugars, Ryan J. Gallagher, Jon Green, Alexi Quintana Mathé, Zijian An, David Lazer:
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys. 312-324 - Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein:
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? 325-344 - Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, Diyi Yang:
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech. 345-363 - Geondo Park, Gyeongman Kim, Eunho Yang:
Distilling Linguistic Context for Language Model Compression. 364-378 - Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. 379-389 - Timo Schick, Hinrich Schütze:
Few-Shot Text Generation with Natural Language Instructions. 390-402 - Kangli Zi, Shi Wang, Yu Liu, Jicun Li, Yanan Cao, Cungen Cao:
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map. 403-415 - Po-Nien Kung, Sheng-Siang Yin, Yi-Cheng Chen, Tse-Hsuan Yang, Yun-Nung Chen:
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity. 416-428 - Derek Chen, Zhou Yu:
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation. 429-442 - Bongseok Lee, Yong Suk Choi:
Graph Based Network with Contextualized Representations of Turns in Dialogue. 443-455 - Dian Yu, Kenji Sagae:
Automatically Exposing Problems with Neural Dialog Models. 456-470 - Michael Bugert, Iryna Gurevych:
Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News. 471-491 - Labiba Jahan, Rahul Mittal, Mark A. Finlayson:
Inducing Stereotypical Character Roles from Plot Structure. 492-497 - Alexander Spangher, Jonathan May, Sz-Rung Shiang, Lingjia Deng:
Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification. 498-517 - Robert Wolfe, Aylin Caliskan:
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. 518-532 - Jaimeen Ahn, Alice Oh:
Mitigating Language-Dependent Ethnic Bias in BERT. 533-549 - Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier Oliva, Shashank Srivastava, Snigdha Chaturvedi:
Adversarial Scrubbing of Demographic Information for Text Classification. 550-562 - Julia White, Gabriel Poesia, Robert X. D. Hawkins, Dorsa Sadigh, Noah D. Goodman:
Open-domain clarification question generation without question examples. 563-570 - Wangchunshu Zhou, Tao Ge, Canwen Xu, Ke Xu, Furu Wei:
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. 571-582 - Dheeraj Mekala, Varun Gangal, Jingbo Shang:
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. 583-594 - Carl Edwards, ChengXiang Zhai, Heng Ji:
Text2Mol: Cross-Modal Molecule Retrieval with Natural Language Queries. 595-607 - Sohrab Ferdowsi, Nikolay Borissov, Julien Knafou, Poorya Amini, Douglas Teodoro:
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus. 608-618 - Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber:
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers. 619-634 - Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev:
Artificial Text Detection via Examining the Topology of Attention Maps. 635-649 - Katerina Margatina, Giorgos Vernikos, Loïc Barrault, Nikolaos Aletras:
Active Learning by Acquiring Contrastive Examples. 650-663 - Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell:
Conditional Poisson Stochastic Beams. 664-681 - Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White:
Building Adaptive Acceptability Classifiers for Neural NLG. 682-697 - Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi:
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. 698-718 - Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Truth-Conditional Captions for Time Series Data. 719-733 - Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang:
Injecting Entity Types into Entity-Guided Text Generation. 734-741 - Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych:
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. 742-750 - Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam:
Learning Compact Metrics for MT. 751-762 - Vinit Ravishankar, Anders Søgaard:
The Impact of Positional Encodings on Multilingual Compression. 763-777 - Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace:
Disentangling Representations of Text by Masking Transformers. 778-791 - Hosein Mohebbi, Ali Modarressi, Mohammad Taher Pilehvar:
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results. 792-806 - Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, Mohit Iyyer:
Do Long-Range Language Models Actually Use Long-Range Context? 807-822 - Cory Paik, Stéphane Aroca-Ouellette, Alessandro Roncone, Katharina Kann:
The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color. 823-835 - Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov:
SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. 836-850 - David Wilmot, Frank Keller:
Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories. 851-865 - Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott Grigsby:
Semantic Novelty Detection in Natural Language Descriptions. 866-882 - Arya D. McCarthy, Kevin P. Yancey, Geoffrey T. LaFlair, Jesse Egbert, Manqian Liao, Burr Settles:
Jump-Starting Item Parameters for Adaptive Language Tests. 883-899 - Raphael Tang, Karun Kumar, Kendra Chalkley, Ji Xin, Liming Zhang, Wenyan Li, Gefei Yang, Yajie Mao, Junho Shin, Geoffrey Craig Murray, Jimmy Lin:
Voice Query Auto Completion. 900-906 - Matús Falis, Hang Dong, Alexandra Birch, Beatrice Alex:
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification. 907-912 - Rafael A. Rivera Soto, Olivia Elizabeth Miano, Juanita Ordonez, Barry Y. Chen, Aleem Khan, Marcus Bishop, Nicholas Andrews:
Learning Universal Authorship Representations. 913-919 - Lei Yu, Yang Xu:
Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining. 920-931 - Jason Wei, Dan Garrette, Tal Linzen, Ellie Pavlick:
Frequency Effects on Syntactic Rule Learning in Transformers. 932-948 - Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damián E. Blasi, Ryan Cotterell:
A surprisal-duration trade-off across and within the world's languages. 949-962 - Clara Meister, Tiago Pimentel, Patrick Haller, Lena A. Jäger, Ryan Cotterell, Roger Levy:
Revisiting the Uniform Information Density Hypothesis. 963-980 - Luyu Gao, Jamie Callan:
Condenser: a Pre-training Architecture for Dense Retrieval. 981-993 - Clément Christophe, Julien Velcin, Jairo Cugliari, Manel Boumghar, Philippe Suignard:
Monitoring geometrical properties of word embeddings for detecting the emergence of new topics. 994-1003 - Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
Contextualized Query Embeddings for Conversational Search. 1004-1015 - Kyoungrok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Hee-Cheol Seo:
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval. 1016-1029 - Rexhina Blloshmi, Tommaso Pasini, Niccolò Campolungo, Somnath Banerjee, Roberto Navigli, Gabriella Pasi:
IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages. 1030-1041 - Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine:
Neural Attention-Aware Hierarchical Topic Model. 1042-1052 - Tara Safavi, Danai Koutra:
Relational World Knowledge Representation in Contextual Language Models: A Review. 1053-1067 - Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni:
Certified Robustness to Programmable Transformations in LSTMs. 1068-1083 - Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das:
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. 1084-1099 - Wenxuan Zhou, Fangyu Liu, Muhao Chen:
Contrastive Out-of-Distribution Detection for Pretrained Transformers. 1100-1111 - Cristian-Paul Bara, Sky CH-Wang, Joyce Chai:
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks. 1112-1125 - Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Detecting Speaker Personas from Conversational Texts. 1126-1136 - Nikita Moghe, Mark Steedman, Alexandra Birch:
Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking. 1137-1150 - Ivan Vulic, Pei-Hao Su, Samuel Coope, Daniela Gerz, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Tsung-Hsien Wen:
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models. 1151-1168 - Ofer Lavi, Ella Rabinovich, Segev Shlomov, David Boaz, Inbal Ronen, Ateret Anaby-Tavor:
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity. 1169-1177 - Patrick Kahardipraja, Brielen Madureira, David Schlangen:
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU. 1178-1189 - Tobias Falke, Patrick Lehnen:
Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding. 1190-1198 - Oscar Sainz, Oier Lopez de Lacalle, Gorka Labaka, Ander Barrena, Eneko Agirre:
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction. 1199-1212 - Leon Weber, Jannes Münchmeyer, Samuele Garda, Ulf Leser:
Extend, don't rebuild: Phrasing conditional graph modification as autoregressive sequence labelling. 1213-1224 - Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. 1225-1238 - Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-Level Relation Extraction. 1239-1250 - Anuradha Welivita, Yubo Xie, Pearl Pu:
A Large-Scale Dataset for Empathetic Response Generation. 1251-1264 - Marzena Karpinska, Nader Akoury, Mohit Iyyer:
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation. 1265-1285 - Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner:
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. 1286-1305 - Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. 1306-1320 - Eleftheria Briakou, Sweta Agrawal, Joel R. Tetreault, Marine Carpuat:
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer. 1321-1336 - Tim O'Gorman, Zach Jensen, Sheshera Mysore, Kevin Huang, Rubayyat Mahbub, Elsa Olivetti, Andrew McCallum:
MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text. 1337-1352 - Rajkumar Pujari, Dan Goldwasser:
Understanding Politics via Contextualized Discourse Processing. 1353-1367 - Jing Lu, Vincent Ng:
Conundrums in Event Coreference Resolution: Making Sense of the State of the Art. 1368-1380 - Lila Gravellier, Julie Hunter, Philippe Muller, Thomas Pellegrini, Isabelle Ferrané:
Weakly supervised discourse segmentation for multiparty oral conversations. 1381-1392 - Sean Wilner, Daniel Woolridge, Madeleine Glick:
Narrative Embedding: Re-Contextualization Through Attention. 1393-1405 - William Held, Dan Iter, Dan Jurafsky:
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference. 1406-1417 - Xiyang Zhang, Muhao Chen, Jonathan May:
Salience-Aware Event Chain Modeling for Narrative Understanding. 1418-1428 - Valentina Pyatkin, Paul Roit, Julian Michael, Yoav Goldberg, Reut Tsarfaty, Ido Dagan:
Asking It All: Generating Contextualized Questions for any Semantic Role. 1429-1441 - Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier:
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders. 1442-1459 - Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models. 1460-1476 - Rochelle Choenni, Ekaterina Shutova, Robert van Rooij:
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? 1477-1491 - Edoardo Barba, Luigi Procopio, Roberto Navigli:
ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension. 1492-1503 - Ruben Branco, António Branco, João António Rodrigues, João Ricardo Silva:
Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning. 1504-1521 - Ivan Habernal:
When differential privacy meets NLP: The devil is in the detail. 1522-1528