Conferences · eligible papers

NAACL

2021–2025 確定版

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Natural Language Processing

2022 · 358 papers

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。

  1. 2022 · NAACL

    Simple Local Attentions Remain Competitive for Long-Context Tasks

    Wenhan 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)

  2. 2022 · NAACL

    Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences

    Yifan 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)

  3. 2022 · NAACL

    SkillSpan: Hard and Soft Skill Extraction from English Job Postings

    Mike Zhang, Kristian Jensen, Sif Sonniks, Barbara Plank

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  4. 2022 · NAACL

    Social Norms Guide Reference Resolution

    Mitchell Abrams, Matthias Scheutz

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  5. 2022 · NAACL

    Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models

    Qinyuan 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)

  6. 2022 · NAACL

    Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting

    Qingfeng 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)

  7. 2022 · NAACL

    SwahBERT: Language Model of Swahili

    Gati Martin, Medard Edmund Mswahili, Young-Seob Jeong, Jiyoung Woo

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  8. 2022 · NAACL

    Symbolic Knowledge Distillation: from General Language Models to Commonsense Models

    Peter 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)

  9. 2022 · NAACL

    Syn2Vec: Synset Colexification Graphs for Lexical Semantic Similarity

    John Harvill, Roxana Girju, Mark Hasegawa-Johnson

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  10. 2022 · NAACL

    TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages

    Zihan 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)

  11. 2022 · NAACL

    TRUE: Re-evaluating Factual Consistency Evaluation

    Or 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)

  12. 2022 · NAACL

    TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generation

    Sajad Sotudeh, Nazli Goharian

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  13. 2022 · NAACL

    TVShowGuess: Character Comprehension in Stories as Speaker Guessing

    Yisi 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)

  14. 2022 · NAACL

    TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations

    Prashanth Vijayaraghavan, Soroush Vosoughi

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  15. 2022 · NAACL

    Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection

    Angelica Chen, Vicky Zayats, Daniel Walker, Dirk Padfield

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  16. 2022 · NAACL

    Template-free Prompt Tuning for Few-shot NER

    Ruotian 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)

  17. 2022 · NAACL

    Testing the Ability of Language Models to Interpret Figurative Language

    Emmy Liu, Chenxuan Cui, Kenneth Zheng, Graham Neubig

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  18. 2022 · NAACL

    Text Style Transfer via Optimal Transport

    Nasim Nouri

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  19. 2022 · NAACL

    Textless Speech-to-Speech Translation on Real Data

    Ann 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)

  20. 2022 · NAACL

    The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation

    Tobias 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)

  21. 2022 · NAACL

    The Why and The How: A Survey on Natural Language Interaction in Visualization

    Henrik Voigt, Ozge Alacam, Monique Meuschke, Kai Lawonn, Sina Zarrieß

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  22. 2022 · NAACL

    Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models

    Yang 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)

  23. 2022 · NAACL

    Time Waits for No One! Analysis and Challenges of Temporal Misalignment

    Kelvin 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)

  24. 2022 · NAACL

    Towards Efficient NLP: A Standard Evaluation and A Strong Baseline

    Xiangyang 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)

  25. 2022 · NAACL

    Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs

    Xu Wang, Simin Fan, Jessica Houghton, Lu Wang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  26. 2022 · NAACL

    Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer

    Sharan Narasimhan, Suvodip Dey, Maunendra Desarkar

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  27. 2022 · NAACL

    Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models

    Patrick Huber, Giuseppe Carenini

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  28. 2022 · NAACL

    Towards a Progression-Aware Autonomous Dialogue Agent

    Abraham 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)

  29. 2022 · NAACL

    Training Mixed-Domain Translation Models via Federated Learning

    Peyman Passban, Tanya Roosta, Rahul Gupta, Ankit Chadha, Clement Chung

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  30. 2022 · NAACL

    Transparent Human Evaluation for Image Captioning

    Jungo 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)

  31. 2022 · NAACL

    TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding

    Le Zhang, Zichao Yang, Diyi Yang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  32. 2022 · NAACL

    Triggerless Backdoor Attack for NLP Tasks with Clean Labels

    Leilei 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)

  33. 2022 · NAACL

    Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks

    Paul Röttger, Bertie Vidgen, Dirk Hovy, Janet Pierrehumbert

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  34. 2022 · NAACL

    Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding

    Hao Huang, Xiubo Geng, Guodong Long, Daxin Jiang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  35. 2022 · NAACL

    Unified Semantic Typing with Meaningful Label Inference

    James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  36. 2022 · NAACL

    Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data

    Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  37. 2022 · NAACL

    Unsupervised Paraphrasability Prediction for Compound Nominalizations

    John Sie Yuen Lee, Ho Hung Lim, Carol Webster

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  38. 2022 · NAACL

    Unsupervised Slot Schema Induction for Task-oriented Dialog

    Dian 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)

  39. 2022 · NAACL

    Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages

    Ramy 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)

  40. 2022 · NAACL

    User-Centric Gender Rewriting

    Bashar Alhafni, Nizar Habash, Houda Bouamor

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  41. 2022 · NAACL

    User-Driven Research of Medical Note Generation Software

    Tom 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)

  42. 2022 · NAACL

    Using Paraphrases to Study Properties of Contextual Embeddings

    Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  43. 2022 · NAACL

    VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems

    Hung Le, Nancy Chen, Steven Hoi

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  44. 2022 · NAACL

    ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model

    Chuyun 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)

  45. 2022 · NAACL

    Visual Commonsense in Pretrained Unimodal and Multimodal Models

    Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  46. 2022 · NAACL

    WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding

    Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Awadallah

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  47. 2022 · NAACL

    WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models

    Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  48. 2022 · NAACL

    What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review

    Terne Thorn Jakobsen, Anna Rogers

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  49. 2022 · NAACL

    What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research

    Maartje Ter Hoeve, Julia Kiseleva, Maarten de Rijke

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  50. 2022 · NAACL

    What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris

    Mikael Brunila, Jack LaViolette

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  51. 2022 · NAACL

    What do Toothbrushes do in the Kitchen? How Transformers Think our World is Structured

    Alexander Henlein, Alexander Mehler

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  52. 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)

  53. 2022 · NAACL

    When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes

    Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  54. 2022 · NAACL

    When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it

    Sebastian Schuster, Tal Linzen

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  55. 2022 · NAACL

    When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer

    Ameet Deshpande, Partha Talukdar, Karthik Narasimhan

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  56. 2022 · NAACL

    WiC = TSV = WSD: On the Equivalence of Three Semantic Tasks

    Bradley Hauer, Grzegorz Kondrak

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  57. 2022 · NAACL

    You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas

    Haoran Li, Yangqiu Song, Lixin Fan

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  58. 2022 · NAACL

    Zero-shot Sonnet Generation with Discourse-level Planning and Aesthetics Features

    Yufei Tian, Nanyun Peng

    Natural Language Processing

    日本大学: 関与なし(対象大学)