What Question Answering can Learn from Trivia Nerds

v1v2v3 (latest)

What Question Answering can Learn from Trivia Nerds

Annual Meeting of the Association for Computational Linguistics (ACL), 2019

31 October 2019

Jordan L. Boyd-Graber

Benjamin Borschinger

ArXiv (abs)PDF HTML

Papers citing "What Question Answering can Learn from Trivia Nerds"

19 / 19 papers shown

Title
Accurate and Nuanced Open-QA Evaluation Through Textual Entailment Peiran Yao Denilson Barbosa ELM 193 11 0 26 May 2024
CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering Zongxia Li Ishani Mondal Yijun Liang Huy Nghiem Jordan L. Boyd-Graber ALM ELM 147 0 0 24 Jan 2024
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation Yoo Yeon Sung Ishani Mondal Jordan L. Boyd-Graber 203 1 0 20 Jan 2024
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Lucas Bandarkar Davis Liang Benjamin Muller Mikel Artetxe Satya Narayan Shukla Don Husa Naman Goyal Abhinandan Krishnan Luke Zettlemoyer Madian Khabsa 296 226 0 31 Aug 2023
PaniniQA: Enhancing Patient Education Through Interactive Question AnsweringTransactions of the Association for Computational Linguistics (TACL), 2023 Pengshan Cai Zonghai Yao Fei Liu Dakuo Wang Meghan Reilly ... Yi Cao Alok Kapoor Adarsha S. Bajracharya D. Berlowitz Hongfeng Yu 193 27 0 07 Aug 2023
On Degrees of Freedom in Defining and Testing Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Saku Sugawara S. Tsugita ELM 275 2 0 24 May 2023
Capturing Humans' Mental Models of AI: An Item Response Theory ApproachConference on Fairness, Accountability and Transparency (FAccT), 2023 Markelle Kelly Aakriti Kumar Padhraic Smyth M. Steyvers 161 22 0 15 May 2023
Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval BenchmarksFindings (Findings), 2022 Pedro Rodriguez Mahmoud Azab Becka Silvert Renato Sanchez Linzy Labson Hardik Shah Seungwhan Moon 180 2 0 10 Oct 2022
FiD-Light: Efficient and Effective Retrieval-Augmented Text GenerationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 Sebastian Hofstatter Jiecao Chen K. Raman Hamed Zamani RALM 564 105 0 28 Sep 2022
RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event ExtractionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Yuan Liang Zhuoxuan Jiang Di Yin Bo Ren 181 33 0 07 Jun 2022
A Russian Jeopardy! Data Set for Question-Answering SystemsInternational Conference on Language Resources and Evaluation (LREC), 2021 Elena Mikhalkova 83 3 0 04 Dec 2021
What's in a Name? Answer Equivalence For Open-Domain Question Answering Chenglei Si Chen Zhao Jordan L. Boyd-Graber 294 34 0 11 Sep 2021
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading ComprehensionACM Computing Surveys (CSUR), 2021 Anna Rogers Matt Gardner Isabelle Augenstein 317 188 0 27 Jul 2021
A Survey on Deep Learning Event Extraction: Approaches and Applications Qian Li Jianxin Li Shuaiyi Nie Shiyao Cui Hongzhi Zhang ... Hao Peng Shu Guo Lihong Wang Amin Beheshti Philip S. Yu 209 61 0 05 Jul 2021
Toward Deconfounding the Influence of Entity Demographics for Question Answering AccuracyConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Maharshi Gor Kellie Webster Jordan L. Boyd-Graber CML FaML 193 11 0 15 Apr 2021
Fool Me Twice: Entailment from Wikipedia GamificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Julian Martin Eisenschlos Bhuwan Dhingra Jannis Bulian Benjamin Borschinger Jordan L. Boyd-Graber 193 56 0 10 Apr 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding?North American Chapter of the Association for Computational Linguistics (NAACL), 2021 Samuel R. Bowman George E. Dahl ELM ALM 245 181 0 05 Apr 2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons LearnedNeural Information Processing Systems (NeurIPS), 2021 Sewon Min Jordan L. Boyd-Graber Chris Alberti Danqi Chen Eunsol Choi ... Dmytro Okhonko Michael Schlichtkrull Sonal Gupta Yashar Mehdad Anuj Kumar 234 64 0 01 Jan 2021
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse LanguagesTransactions of the Association for Computational Linguistics (TACL), 2020 J. Clark Eunsol Choi Michael Collins Dan Garrette Tom Kwiatkowski Vitaly Nikolaev J. Palomaki 532 683 0 10 Mar 2020