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。
2022 · NAACL
Simple Local Attentions Remain Competitive for Long-Context TasksWenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Sketching as a Tool for Understanding and Accelerating Self-attention for Long SequencesYifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
SkillSpan: Hard and Soft Skill Extraction from English Job PostingsMike Zhang, Kristian Jensen, Sif Sonniks, Barbara Plank
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Social Norms Guide Reference ResolutionMitchell Abrams, Matthias Scheutz
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student ModelsQinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template RewritingQingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
SwahBERT: Language Model of SwahiliGati Martin, Medard Edmund Mswahili, Young-Seob Jeong, Jiyoung Woo
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Symbolic Knowledge Distillation: from General Language Models to Commonsense ModelsPeter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Syn2Vec: Synset Colexification Graphs for Lexical Semantic SimilarityJohn Harvill, Roxana Girju, Mark Hasegawa-Johnson
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
TIE: Topological Information Enhanced Structural Reading Comprehension on Web PagesZihan Zhao, Lu Chen, Ruisheng Cao, Hongshen Xu, Xingyu Chen, Kai Yu
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
TRUE: Re-evaluating Factual Consistency EvaluationOr Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary GenerationSajad Sotudeh, Nazli Goharian
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
TVShowGuess: Character Comprehension in Stories as Speaker GuessingYisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey Stanton
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View RepresentationsPrashanth Vijayaraghavan, Soroush Vosoughi
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency DetectionAngelica Chen, Vicky Zayats, Daniel Walker, Dirk Padfield
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Template-free Prompt Tuning for Few-shot NERRuotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Linyang Li, Qi Zhang, Xuanjing Huang
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Testing the Ability of Language Models to Interpret Figurative LanguageEmmy Liu, Chenxuan Cui, Kenneth Zheng, Graham Neubig
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Text Style Transfer via Optimal TransportNasim Nouri
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Textless Speech-to-Speech Translation on Real DataAnn Lee, Hongyu Gong, Paul-Ambroise Duquenne, Holger Schwenk, Peng-Jen Chen, Changhan Wang, Sravya Popuri, Yossi Adi, Juan Pino, Jiatao Gu, Wei-Ning Hsu
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine TranslationTobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
The Why and The How: A Survey on Natural Language Interaction in VisualizationHenrik Voigt, Ozge Alacam, Monique Meuschke, Kai Lawonn, Sina Zarrieß
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language ModelsYang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Time Waits for No One! Analysis and Challenges of Temporal MisalignmentKelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Towards Efficient NLP: A Standard Evaluation and A Strong BaselineXiangyang Liu, Tianxiang Sun, Junliang He, Jiawen Wu, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational NeedsXu Wang, Simin Fan, Jessica Houghton, Lu Wang
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style TransferSharan Narasimhan, Suvodip Dey, Maunendra Desarkar
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language ModelsPatrick Huber, Giuseppe Carenini
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Towards a Progression-Aware Autonomous Dialogue AgentAbraham Sanders, Tomek Strzalkowski, Mei Si, Albert Chang, Deepanshu Dey, Jonas Braasch, Dakuo Wang
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Training Mixed-Domain Translation Models via Federated LearningPeyman Passban, Tanya Roosta, Rahul Gupta, Ankit Chadha, Clement Chung
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Transparent Human Evaluation for Image CaptioningJungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language UnderstandingLe Zhang, Zichao Yang, Diyi Yang
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Triggerless Backdoor Attack for NLP Tasks with Clean LabelsLeilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Yi Yang, Shangwei Guo, Chun Fan
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Two Contrasting Data Annotation Paradigms for Subjective NLP TasksPaul Röttger, Bertie Vidgen, Dirk Hovy, Janet Pierrehumbert
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Understand before Answer: Improve Temporal Reading Comprehension via Precise Question UnderstandingHao Huang, Xiubo Geng, Guodong Long, Daxin Jiang
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Unified Semantic Typing with Meaningful Label InferenceJames Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source DataKemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Unsupervised Paraphrasability Prediction for Compound NominalizationsJohn Sie Yuen Lee, Ho Hung Lim, Carol Webster
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Unsupervised Slot Schema Induction for Task-oriented DialogDian Yu, Mingqiu Wang, Yuan Cao, Izhak Shafran, Laurent Shafey, Hagen Soltau
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource LanguagesRamy Eskander, Cass Lowry, Sujay Khandagale, Judith Klavans, Maria Polinsky, Smaranda Muresan
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
User-Centric Gender RewritingBashar Alhafni, Nizar Habash, Houda Bouamor
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
User-Driven Research of Medical Note Generation SoftwareTom Knoll, Francesco Moramarco, Alex Papadopoulos Korfiatis, Rachel Young, Claudia Ruffini, Mark Perera, Christian Perstl, Ehud Reiter, Anya Belz, Aleksandar Savkov
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Using Paraphrases to Study Properties of Contextual EmbeddingsLaura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue SystemsHung Le, Nancy Chen, Steven Hoi
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language ModelChuyun Deng, Mingxuan Liu, Yue Qin, Jia Zhang, Hai-Xin Duan, Donghong Sun
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Visual Commonsense in Pretrained Unimodal and Multimodal ModelsChenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language UnderstandingGuoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Awadallah
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language modelsBenjamin Minixhofer, Fabian Paischer, Navid Rekabsaz
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-ReviewTerne Thorn Jakobsen, Anna Rogers
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization ResearchMaartje Ter Hoeve, Julia Kiseleva, Maarten de Rijke
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig HarrisMikael Brunila, Jack LaViolette
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
What do Toothbrushes do in the Kitchen? How Transformers Think our World is StructuredAlexander Henlein, Alexander Mehler
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
What do tokens know about their characters and how do they know it?Ayush Kaushal, Kyle Mahowald
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout ProbesMycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to itSebastian Schuster, Tal Linzen
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual TransferAmeet Deshpande, Partha Talukdar, Karthik Narasimhan
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
WiC = TSV = WSD: On the Equivalence of Three Semantic TasksBradley Hauer, Grzegorz Kondrak
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private PersonasHaoran Li, Yangqiu Song, Lixin Fan
Natural Language Processing
日本大学: 関与なし(対象大学)
2022 · NAACL
Zero-shot Sonnet Generation with Discourse-level Planning and Aesthetics FeaturesYufei Tian, Nanyun Peng
Natural Language Processing
日本大学: 関与なし(対象大学)