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EMNLP - 2022
Total Papers:- 945
Total Papers accross all years:- 12236
Total Citations :- 0
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Leveraging Locality in Abstractive Text Summarization
Yixin Liu |
Ansong Ni |
Linyong Nan |
Budhaditya Deb |
Chenguang Zhu |
Ahmed Hassan Awadallah |
Dragomir Radev |
How “Multi” is Multi-Document Summarization?
Ruben Wolhandler |
Arie Cattan |
Ori Ernst |
Ido Dagan |
Language Models of Code are Few-Shot Commonsense Learners
Aman Madaan |
Shuyan Zhou |
Uri Alon |
Yiming Yang |
Graham Neubig |
Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding
Md Mosharaf Hossain |
Eduardo Blanco |
Rethinking the Authorship Verification Experimental Setups
Florin Brad |
Andrei Manolache |
Elena Burceanu |
Antonio Barbalau |
Radu Tudor Ionescu |
Marius Popescu |
Measuring the Mixing of Contextual Information in the Transformer
Javier Ferrando |
Gerard I. Gállego |
Marta R. Costa-jussà |
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
Max Glockner |
Yufang Hou |
Iryna Gurevych |
FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation
Chen Zhang |
Luis Fernando D’Haro |
Qiquan Zhang |
Thomas Friedrichs |
Haizhou Li |
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization
Nishant Yadav |
Nicholas Monath |
Rico Angell |
Manzil Zaheer |
Andrew McCallum |
Hierarchical Multi-Label Classification of Scientific Documents
Mobashir Sadat |
Cornelia Caragea |
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
Miao Chen |
Xinjiang Lu |
Tong Xu |
Yanyan Li |
Zhou Jingbo |
Dejing Dou |
Hui Xiong |
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation
Dongkyu Lee |
Ka Chun Cheung |
Nevin Zhang |
On Measuring the Intrinsic Few-Shot Hardness of Datasets
Xinran Zhao |
Shikhar Murty |
Christopher Manning |
Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation
Kaiyu Huang |
Peng Li |
Jin Ma |
Yang Liu |
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering
Md Arafat Sultan |
Avi Sil |
Radu Florian |
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