このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。
2021 · NAACL
Target-specified Sequence Labeling with Multi-head Self-attention for Target-oriented Opinion Words ExtractionYuhao Feng, Yanghui Rao, Yuyao Tang, Ninghua Wang, He Liu
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class NamesJiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector EmbeddingsChengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Temporal Reasoning on Implicit Events from Distant SupervisionBen Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Text Editing by CommandFelix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, Bill Dolan
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Text Generation from Discourse Representation StructuresJiangming Liu, Shay B. Cohen, Mirella Lapata
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing ModelsTushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
The Curious Case of Hallucinations in Neural Machine TranslationVikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
The Importance of Modeling Social Factors of Language: Theory and PracticeDirk Hovy, Diyi Yang
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
The structure of online social networks modulates the rate of lexical changeJian Zhu, David Jurgens
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Time-Stamped Language Model: Teaching Language Models to Understand The Flow of EventsHossein Rajaby Faghihi, Parisa Kordjamshidi
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Too Much in Common: Shifting of Embeddings in Transformer Language Models and its ImplicationsDaniel Biś, Maksim Podkorytov, Xiuwen Liu
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability MeasuresCaitlin Doogan, Wray Buntine
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Towards Few-shot Fact-Checking via PerplexityNayeon Lee, Yejin Bang, Andrea Madotto, Pascale Fung
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU modelsMengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in TwitterTulika Saha, Apoorva Upadhyaya, Sriparna Saha, Pushpak Bhattacharyya
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Translational NLP: A New Paradigm and General Principles for Natural Language Processing ResearchDenis Newman-Griffis, Jill Fain Lehman, Carolyn Rosé, Harry Hochheiser
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
TuringAdvice: A Generative and Dynamic Evaluation of Language UseRowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
UDALM: Unsupervised Domain Adaptation through Language ModelingConstantinos Karouzos, Georgios Paraskevopoulos, Alexandros Potamianos
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusGeorge Michalopoulos, Yuanxin Wang, Hussam Kaka, Helen Chen, Alexander Wong
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality MetricsArtidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Understanding Hard Negatives in Noise Contrastive EstimationWenzheng Zhang, Karl Stratos
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra CostZhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Unified Pre-training for Program Understanding and GenerationWasi Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic ResourcesSimone Conia, Andrea Bacciu, Roberto Navigli
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Universal Semantic Tagging for English and Mandarin ChineseWenxi Li, Yiyang Hou, Yajie Ye, Li Liang, Weiwei Sun
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Unsupervised Concept Representation Learning for Length-Varying Text SimilarityXuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Unsupervised Multi-hop Question Answering by Question GenerationLiangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Unsupervised Vision-and-Language Pre-training Without Parallel Images and CaptionsLiunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical NormalizationShohei Higashiyama, Masao Utiyama, Taro Watanabe, Eiichiro Sumita
Natural Language Processing
日本大学: 奈良先端科学技術大学院大学
2021 · NAACL
Video Question Answering with Phrases via Semantic RolesArka Sadhu, Kan Chen, Ram Nevatia
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Video-aided Unsupervised Grammar InductionSongyang Zhang, Linfeng Song, Lifeng Jin, Kun Xu, Dong Yu, Jiebo Luo
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from WikipediaAlon Eirew, Arie Cattan, Ido Dagan
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective AnnotationsTomoyuki Kajiwara, Chenhui Chu, Noriko Takemura, Yuta Nakashima, Hajime Nagahara
Natural Language Processing
日本大学: 愛媛大学 / 京都大学 / 大阪大学
2021 · NAACL
What About the Precedent: An Information-Theoretic Analysis of Common LawJosef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
What Will it Take to Fix Benchmarking in Natural Language Understanding?Samuel R. Bowman, George Dahl
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
What’s in a Summary? Laying the Groundwork for Advances in Hospital-Course SummarizationGriffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language ModelsBenjamin Muller, Antonios Anastasopoulos, Benoît Sagot, Djamé Seddah
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Why Do Document-Level Polarity Classifiers Fail?Karen Martins, Pedro O.S Vaz-de-Melo, Rodrygo Santos
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
WikiTalkEdit: A Dataset for modeling Editors’ behaviors on WikipediaKokil Jaidka, Andrea Ceolin, Iknoor Singh, Niyati Chhaya, Lyle Ungar
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Word Complexity is in the Eye of the BeholderSian Gooding, Ekaterina Kochmar, Seid Muhie Yimam, Chris Biemann
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question AnsweringKiran Ramnath, Leda Sari, Mark Hasegawa-Johnson, Chang Yoo
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
X-Class: Text Classification with Extremely Weak SupervisionZihan Wang, Dheeraj Mekala, Jingbo Shang
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question AnsweringMeryem M’hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
XOR QA: Cross-lingual Open-Retrieval Question AnsweringAkari Asai, Jungo Kasai, Jonathan Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation LearningChih-Yao Chen, Cheng-Te Li
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
mT5: A Massively Multilingual Pre-trained Text-to-Text TransformerLinting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule ReasoningSwarnadeep Saha, Prateek Yadav, Mohit Bansal
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
“I’m Not Mad”: Commonsense Implications of Negation and ContradictionLiwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
Natural Language Processing
日本大学: 関与なし(対象大学)
2021 · NAACL
“Nice Try, Kiddo”: Investigating Ad Hominems in Dialogue ResponsesEmily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng
Natural Language Processing
日本大学: 関与なし(対象大学)