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Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing

共收录 7898
2104.08066 2021-09-24 cs.CL cs.AI

Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models

Taichi Iki, Akiko Aizawa

Comments to appear at EMNLP 2021. camera-ready version

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2104.04466 2021-09-24 cs.CL cs.LG

Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking

Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne

Comments This paper is in the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)

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2010.11247 2021-09-24 cs.CL

Improving Simultaneous Translation by Incorporating Pseudo-References with Fewer Reorderings

Junkun Chen, Renjie Zheng, Atsuhito Kita, Mingbo Ma, Liang Huang

Comments 8 pages

Journal ref EMNLP 2021

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2009.11616 2021-09-24 cs.CL

N-LTP: An Open-source Neural Language Technology Platform for Chinese

Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu

Comments Accepted to appear in EMNLP 2021 (Demo)

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2109.10859 2021-09-23 cs.CL cs.AI

Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation

Diptesh Kanojia, Marina Fomicheva, Tharindu Ranasinghe, Frédéric Blain, Constantin Orăsan, Lucia Specia

Comments Accepted to WMT 2021 Conference co-located with EMNLP 2021. 14 pages with a 4 page appendix

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2109.10856 2021-09-23 cs.CL cs.LG

Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data

Dheeraj Mekala, Varun Gangal, Jingbo Shang

Comments Accepted to appear in EMNLP 2021

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2109.10855 2021-09-23 cs.CL cs.LG

BFClass: A Backdoor-free Text Classification Framework

Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang

Comments Accepted to appear in Findings of EMNLP 2021

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2109.05184 2021-09-23 cs.MM cs.CL

MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets

Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty

Comments The paper has been accepted in the Findings of Empirical Methods in Natural Language Processing (EMNLP), 2021

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2109.10697 2021-09-23 cs.AI cs.LG

Towards Automatic Bias Detection in Knowledge Graphs

Daphna Keidar, Mian Zhong, Ce Zhang, Yash Raj Shrestha, Bibek Paudel

Comments Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP 2021). Nov 7--11, 2021

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2109.10650 2021-09-23 cs.CL

MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization

Xinnuo Xu, Ondřej Dušek, Shashi Narayan, Verena Rieser, Ioannis Konstas

Journal ref Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing Findings (EMNLP2021 Findings)

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2109.10649 2021-09-23 cs.CV cs.AI

Caption Enriched Samples for Improving Hateful Memes Detection

Efrat Blaier, Itzik Malkiel, Lior Wolf

Comments EMNLP 2021

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2109.10613 2021-09-23 cs.CL

COVR: A test-bed for Visually Grounded Compositional Generalization with real images

Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant

Comments EMNLP 2021

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2109.10534 2021-09-23 cs.CL

Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages

Tejas Indulal Dhamecha, Rudra Murthy, Samarth Bharadwaj, Karthik Sankaranarayanan, Pushpak Bhattacharyya

Comments Accepted in EMNLP 2021

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2109.10509 2021-09-23 cs.CL cs.IR cs.LG

Unsupervised Contextualized Document Representation

Ankur Gupta, Vivek Gupta

Comments 9 Pages, 4 Figures, 7 tables, SustaiNLP2021 @ EMNLP-2021

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2109.10500 2021-09-23 cs.CL cs.AI

HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning

Mingyu Derek Ma, Muhao Chen, Te-Lin Wu, Nanyun Peng

Comments To appear in Findings of ACL: EMNLP 2021

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2109.10475 2021-09-23 cs.CL cs.AI

Salience-Aware Event Chain Modeling for Narrative Understanding

Xiyang Zhang, Muhao Chen, Jonathan May

Comments EMNLP 2021

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2109.10453 2021-09-23 cs.CL

Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results

Ian H. Magnusson, Scott E. Friedman

Comments 8 pages, 4 tables, 4 figures, accepted at EMNLP 2021

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2109.10444 2021-09-23 cs.CL

Fairness-aware Class Imbalanced Learning

Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann

Comments To appear in EMNLP 2021

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2109.10441 2021-09-23 cs.CL

Evaluating Debiasing Techniques for Intersectional Biases

Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann

Comments To appear in EMNLP 2021

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2109.10415 2021-09-23 cs.CL cs.AI

What Would it Take to get Biomedical QA Systems into Practice?

Gregory Kell, Iain J. Marshall, Byron C. Wallace, Andre Jaun

Comments Accepted by MRQA workshop at EMNLP 2021

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2104.05893 2021-09-23 cs.CV cs.CL

NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media

Grace Luo, Trevor Darrell, Anna Rohrbach

Comments EMNLP 2021

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2102.10242 2021-09-23 cs.CL cs.AI cs.LG

Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach

Haoming Jiang, Bo Dai, Mengjiao Yang, Tuo Zhao, Wei Wei

Comments Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021

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2005.00033 2021-09-23 cs.CL cs.CY cs.IR

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani, Tommaso Caselli, Gijs Danoe, Friso Stolk, Britt Bruntink, Preslav Nakov

Comments disinformation, misinformation, factuality, fact-checking, fact-checkers, check-worthiness, Social Media Platforms, COVID-19, social media

Journal ref EMNLP-2021 (Findings)

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2109.10246 2021-09-22 cs.CL cs.AI cs.CV

Does Vision-and-Language Pretraining Improve Lexical Grounding?

Tian Yun, Chen Sun, Ellie Pavlick

Comments Camera ready for Findings of EMNLP 2021

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2109.10227 2021-09-22 cs.CL

Blindness to Modality Helps Entailment Graph Mining

Liane Guillou, Sander Bijl de Vroe, Mark Johnson, Mark Steedman

Comments To appear at the Workshop on Insights from Negative Results in NLP at EMNLP 2021

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2109.10197 2021-09-22 cs.CL

One Source, Two Targets: Challenges and Rewards of Dual Decoding

Jitao Xu, François Yvon

Comments Accepted at EMNLP 2021

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2109.10194 2021-09-22 cs.CL

TranslateLocally: Blazing-fast translation running on the local CPU

Nikolay Bogoychev, Jelmer Van der Linde, Kenneth Heafield

Comments Accepted at EMNLP 2021 demo track; https://translatelocally.com

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2109.10133 2021-09-22 cs.CL

Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement

Bingzhi Li, Guillaume Wisniewski, Benoit Crabbé

Comments Camera-ready for EMNLP'21

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2109.10126 2021-09-22 cs.CL

ConvFiT: Conversational Fine-Tuning of Pretrained Language Models

Ivan Vulić, Pei-Hao Su, Sam Coope, Daniela Gerz, Paweł Budzianowski, Iñigo Casanueva, Nikola Mrkšić, Tsung-Hsien Wen

Comments EMNLP 2021 (long paper)

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2109.10107 2021-09-22 cs.CL cs.SD eess.AS

On the Difficulty of Segmenting Words with Attention

Ramon Sanabria, Hao Tang, Sharon Goldwater

Comments Accepted at the "Workshop on Insights from Negative Results in NLP" (EMNLP 2021)

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