WikiQA: A Challenge Dataset for Open-Domain Question Answering

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Items 401–500 of 835

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   Xiaobo Xu, Turdi Tohti, Askar Hamdulla · 2022 · International Conference on Asian Language Processing
7. Hierarchical Question Answering for Long Documents
   Eunsol Choi, Daniel Hewlett, Alexandre Lacoste, Illia Polosukhin, Jakob Uszkoreit, Jonathan Berant · 2016 · arXiv (Cornell University)
8. Hindi Question Generation Using Dependency Structures
   Kaveri Anuranjana, Vijjini Anvesh Rao, Radhika Mamidi · 2019 · arXiv (Cornell University)
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   2020
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    Han Li, Yash Govind, Sidharth Mudgal, Theodoros Rekatsinas, AnHai Doan · 2021 · Journal of Computer Science and Cybernetics
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    Jhantu Mazumder, Parthasarathi Mukhopadhyay · 2024 · Journal of Information and Knowledge
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    Nitin Agarwal, Mert Can Çakmak, Diwash Poudel · 2025 · Lecture notes in social networks
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    Yoshitomo Matsubara, Luca Soldaini, Eric Lind, Alessandro Moschitti · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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    Andrei Dulceanu, Thang Le Dinh, Walter Hong‐Shong Chang, Trung Bui, Doo Soon Kim, Manh Chiên Vu, Seokhwan Kim · 2018 · Language Resources and Evaluation Conference (LREC)
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    Lu Wang, Shoushan Li, Changlong Sun, Luo Si, Xiaozhong Liu, Min Zhang, Guodong Zhou · 2018 · International Conference on Computational Linguistics
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    Donghyeon Park, Yonghwa Choi, Daehan Kim, Minhwan Yu, Seongsoon Kim, Jaewoo Kang · 2019 · IEEE Access
20. AUEB-NLP at BioASQ 8: Biomedical Document and Snippet Retrieval.
    Dimitris Pappas, Petros Stavropoulos, Ion Androutsopoulos · 2020 · CLEF (Working Notes)
21. BanditRank: Learning to Rank Using Contextual Bandits
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    Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
24. Multi-hop community question answering based on multi-aspect heterogeneous graph
    Yongliang Wu, Hu Yin, Qianqian Zhou, Dongbo Liu, Dan Wei, Jiahao Dong · 2023 · Information Processing & Management
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    Xiao Yu, Qingyang Wu, Kun Qian, Yu Zhou · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
26. A Proposal for Evaluating Answer Distillation from Web Data
    Bhaskar Mitra, Grady Simon, Jianfeng Gao, Nick Craswell, Li Deng · 2016
27. FastHybrid: A hybrid model for efficient answer selection
    Lidan Wang, Ming Tan, Jiawei Han · 2016
28. Annotating Educational Questions for Student Response Analysis
    Andreea Godea, Rodney D. Nielsen · 2018 · Language Resources and Evaluation Conference (LREC)
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    Daniel Cohen, Brendan O'Connor, W. Bruce Croft · 2018 · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR)
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    Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang · 2019 · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
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    Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin · 2019 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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    Yunyeong Yang, Sangwoo Kang, Jungyun Seo · 2020 · IEEE Access
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    Arnab Debnath, Navid Rajabi, Fardina Fathmiul Alam, Antonios Anastasopoulos · 2021
34. MatchACNN: A Multi-Granularity Deep Matching Model
    Guanghui Chang, Weihan Wang, Shiyang Hu · 2022 · Neural Processing Letters
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    Salah Zaiem, Fatiha Sadat · 2019 · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))
36. Beyond Relevance: Trustworthy Answer Selection via Consensus Verification
    Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng · 2021 · ACM International Conference on Web Search and Data Mining (WSDM)
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    Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti · 2022 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
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    Xin Wang, Huimin Yang · 2022 · Frontiers in Bioengineering and Biotechnology
39. Benchmarks for Indian Legal NLP: A Survey
    Prathamesh Kalamkar, Janani Venugopalan, Vivek Raghavan · 2023 · Lecture notes in computer science
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    Xudong Luo, Ying Luo, Binxia Yang · 2024 · IFIP advances in information and communication technology
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    Qi Zhi Lim, Chin Poo Lee, Kian Ming Lim, Ahmad Kamsani Samingan · 2024 · IEEE Access
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    Shangqing Tu, Yuanchun Wang, Jifan Yu, Yuyang Xie, Yaran Shi, Xiaozhi Wang, Jing Zhang, Lei Hou, Juanzi Li · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
43. Influence of symbolic content on recommendation bias: analyzing YouTube’s algorithm during Taiwan’s 2024 election
    Mert Can Çakmak, Nitin Agarwal · 2025 · Applied Network Science
44. Coattention based BiLSTM for answer selection
    Lei Zhang, Longxuan Ma · 2017 · IEEE International Conference on Information and Automation (ICIA)
45. Two-Step Multi-factor Attention Neural Network for Answer Selection
    Pengqing Zhang, Yuexian Hou, Zhan Su, Yi Su · 2018 · Lecture notes in computer science
46. Distantly Supervised Transformers For E-Commerce Product QA
    Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia · 2021 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
47. Knowledge Base Question Answering via Semantic Analysis
    Yibo Liu, Haisu Zhang, Teng Zong, Jianping Wu, Wei Dai · 2023 · Electronics
48. A Sentence Interaction Network for Modeling Dependence between Sentences
    Biao Liu, Minlie Huang · 2016 · Proceedings of the conference - Association for Computational Linguistics. Meeting
49. Document Segmentation for Labeling with Academic Learning Objectives.
    Divyanshu Bhartiya, Danish Contractor, Sovan Biswas, Bikram Sengupta, Mukesh Mohania · 2016 · Educational Data Mining
50. Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling
    Yang Song, Wenxin Hu, Liang He · 2019 · Lecture notes in computer science
51. Hashing Based Answer Selection
    Dong Xu, Wu-Jun Li · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
52. Sentiment Translation Model for Expressing Positive Sentimental Statements
    Yin‐Fu Huang, Yihao Li · 2019 · International Conference on Machine Learning and Data Engineering (iCMLDE)
53. Re-ranking Answer Selection with Similarity Aggregation
    Dong Chen, Shaoliang Peng, Kenli Li, Ying Xu, Jinling Zhang, Xiaolan Xie · 2020 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
54. Identifying Irrelevant Answers in Web Based Question Answering Systems
    Nandula Perera, Chathura Priyankara, D. W. R. S. Jayasekara · 2020 · International Conference on Advances in ICT for Emerging Regions
55. Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation
    Yang Deng, Wenxuan Zhang, Wai Pang Lam · 2021 · Workshop on Noisy User-generated Text (W-NUT)
56. Overview of the NLPCC 2017 Shared Task: Open Domain Chinese Question Answering
    Nan Duan, Duyu Tang · 2018 · Lecture notes in computer science
57. ISD-QA: Iterative Distillation of Commonsense Knowledge from General Language Models for Unsupervised Question Answering
    Priyadharsini Ramamurthy, Sathyanarayanan N. Aakur · 2022 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
58. Hierarchical Gated Recurrent Neural Tensor Network for Answer Triggering
    Wei Li, Yunfang Wu · 2017 · Lecture notes in computer science
59. Neural Models for Detecting Binary Semantic Textual Similarity for Algerian and MSA
    Wafia Adouane, Jean-Philippe Bernardy, Simon Dobnik · 2019 · Arabic Natural Language Processing Workshop (WANLP)
60. Video Question Answering on Screencast Tutorials
    Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin · 2020 · International Joint Conference on Artificial Intelligence
61. Role Aware Multi-Party Dialogue Question Answering
    Jui-Heng Hsu, Po-Wei Shen, Hung-Ting Su, Chen-Hsi Chang, Jia-Fong Yeh, Winston H. Hsu · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
62. Learning Answer Generation using Supervision from Automatic Question Answering Evaluators
    Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
63. Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
    Yichen Jiang, Mohit Bansal · 2019 · arXiv (Cornell University)
64. Indian Legal NLP Benchmarks : A Survey
    Prathamesh Kalamkar, Janani Venugopalan, D, Vivek Raghavan Ph. · 2021 · arXiv (Cornell University)
65. Characterizing LLM Abstention Behavior in Science QA with Context Perturbations
    Wen, Bingbing, Howe, Bill, Wang, Lucy Lu · 2024 · arXiv
66. RerankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback
    Abdelrahman Abdallah, Mahmoud I. Abdalla, Bhawna Piryani, Jamshid Mozafari, Mohammed Ali, Adam Jatowt · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
67. Quantum-inspired semantic matching based on neural networks with the duality of density matrices
    Chenchen Zhang, Qiuchi Li, Dawei Song, Prayag Tiwari · 2024 · Engineering Applications of Artificial Intelligence
68. Investigating legal question generation using large language models
    Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh · 2025 · Artificial Intelligence and Law
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    Rohan Joseph, Timothy Liu, Aik Beng Ng, Simon Chong Wee See, Sunny Rai · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
70. QUADRo: Dataset and Models for QUestion-Answer Database Retrieval
    Stefano Campese, Ivano Lauriola, Alessandro Moschitti · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
71. UniPoll: A Unified Social Media Poll Generation Framework via Multiobjective Optimization
    Yixia Li, Rong Xiang, Yanlin Song, Jing Li · 2025 · IEEE Transactions on Neural Networks and Learning Systems
72. PickLLM: Context-Aware RL-Assisted Large Language Model Routing
    Dimitrios Sikeridis, Dennis Ramdass, Pranay Pareek · 2025 · Communications in computer and information science
73. Moving away from semantic overfitting in disambiguation datasets
    Marten Postma, Filip Ilievski, Piek T. J. M. Vossen, Marieke van Erp · 2016
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    Fahim Faisal, Antonios Anastasopoulos · 2021 · Workshop on Machine Reading for Question Answering (MRQA)
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    Prayag Tiwari, Amit Kumar Jaiswal, Sahil Garg, Ilsun You · 2021 · ACM Transactions on Internet Technology
76. Attention-Based Multi-level Network for Text Matching with Feature Fusion
    Yixiao Yang, Chongyang Zhang · 2021 · International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)
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    Donglei Liu, Hao Lü, Yong Yuan, Rui Qin, Yifan Zhu, Chunxia Zhang, Zhendong Niu · 2022 · IEEE Transactions on Computational Social Systems
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    Olga Tsymboi, Danil Malaev, А. П. Петровский, Ivan Valer'evich Oseledets · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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    Gaochen Wu, Bin Xu, Yuxin Qin, Weizhou Wang, Geng Wang · 2021 · International Joint Conference on Knowledge Graphs (IJCKG)
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    Luca Di Liello, Matteo Gabburo, Alessandro Moschitti · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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    Cohen, Daniel, Scott M. Jordan, W. Bruce Croft · 2018 · arXiv (Cornell University)
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    Paulo Pirozelli, Anarosa A. F. Brandão, Sarajane Marques Peres, Fábio Gagliardi Cozman · 2022 · Lecture notes in computer science
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