Abstract
Question-answering systems are recognized as popular and frequently effective means of information seeking on the web. In such systems, information seekers can receive a concise response to their queries by presenting their questions in natural language. Interactive question answering is a recently proposed and increasingly popular solution that resides at the intersection of question answering and dialogue systems. On the one hand, the user can ask questions in normal language and locate the actual response to her inquiry; on the other hand, the system can prolong the question-answering session into a dialogue if there are multiple probable replies, very few, or ambiguities in the initial request. By permitting the user to ask more questions, interactive question answering enables users to interact with the system and receive more precise results dynamically.
This survey offers a detailed overview of the interactive question-answering methods that are prevalent in current literature. It begins by explaining the foundational principles of question-answering systems, hence defining new notations and taxonomies to combine all identified works inside a unified framework. The reviewed published work on interactive question-answering systems is then presented and examined in terms of its proposed methodology, evaluation approaches, and dataset/application domain. We also describe trends surrounding specific tasks and issues raised by the community, so shedding light on the future interests of scholars. Our work is further supported by a GitHub page synthesizing all the major topics covered in this literature study. https://sisinflab.github.io/interactive-question-answering-systems-survey/
- [1] Huda Alamri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian, Irfan Essa, Dhruv Batra, Tim K. Marks, Chiori Hori, Peter Anderson, and Stefan Lee, Devi Parikh. 2019. Audio visual scene-aware dialog. In CVPR. 7558–7567.Google Scholar
- [2] . 2020. A study on multimodal and interactive explanations for visual question answering. In SafeAI@AAAI(
CEUR Workshop Proceedings , Vol. 2560). CEUR-WS.org, 54–62.Google Scholar - [3] . 2019. Real life application of a question answering system using BERT language model. In SIGdial. Association for Computational Linguistics, 250–253.Google ScholarCross Ref
- [4] . 2012. Discovering value from community activity on focused question answering sites: A case study of stack overflow. In KDD. 850–858.Google ScholarDigital Library
- [5] . 2015. VQA: Visual question answering. In ICCV. 2425–2433.Google ScholarDigital Library
- [6] . 2020. Fluent response generation for conversational question answering. In ACL. Association for Computational Linguistics, 191–207.Google ScholarCross Ref
- [7] . 2019. Conversational AI : Open domain question answering and commonsense reasoning. In ICLP Technical Communications(
EPTCS , Vol. 306). 396–402.Google ScholarCross Ref - [8] . 2013. Semantic parsing on Freebase from question-answer pairs. In EMNLP. 1533–1544.Google Scholar
- [9] . 2019. User experience comparison of intelligent personal assistants: Alexa, Google Assistant, Siri and Cortana. In UCAmI(
MDPI Proceedings , Vol. 31). MDPI, 51.Google ScholarCross Ref - [10] . 2020. Attending knowledge facts with BERT-like models in question-answering: Disappointing results and some explanations. In Canadian AI(
Lecture Notes in Computer Science , Vol. 12109). Springer, 356–367.Google ScholarDigital Library - [11] . 2020. Investigating query expansion and coreference resolution in question answering on BERT. In NLDB(
Lecture Notes in Computer Science , Vol. 12089). Springer, 47–59.Google ScholarCross Ref - [12] . 2008. Freebase: A collaboratively created graph database for structuring human knowledge. In SIGMOD. 1247–1250.Google ScholarDigital Library
- [13] . 2015. Large-scale simple question answering with memory networks. CoRR abs/1506.02075 (2015).Google Scholar
- [14] . 2019. Gendered pronoun resolution using BERT and an extractive question answering formulation. CoRR abs/1906.03695 (2019).Google Scholar
- [15] . 2009. Why not? In SIGMOD. ACM, 523–534.Google ScholarDigital Library
- [16] . 2011. Collecting highly parallel data for paraphrase evaluation. In ACL. The Association for Computer Linguistics, 190–200.Google ScholarDigital Library
- [17] . 2020. Open question answering over tables and text. arXiv preprint arXiv:2010.10439 (2020).Google Scholar
- [18] . 2020. An empirical study of content understanding in conversational question answering. In AAAI. AAAI Press, 7578–7585.Google ScholarCross Ref
- [19] . 2023. Vicuna: An Open-source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality. Retrieved from https://lmsys.org/blog/2023-03-30-vicuna/Google Scholar
- [20] . 2018. QuAC: Question answering in context. arXiv preprint arXiv:1808.07036 (2018).Google Scholar
- [21] . 2019. Look before you hop: Conversational question answering over knowledge graphs using judicious context expansion. In CIKM. ACM, 729–738.Google ScholarDigital Library
- [22] . 2016. Improving coreference resolution by learning entity-level distributed representations. In ACL.Google ScholarCross Ref
- [23] . 2018. Think you have solved question answering? Try ARC, the AI2 reasoning challenge. arXiv preprint arXiv:1803.05457 (2018).Google Scholar
- [24] . 2018. WikiPassageQA: A benchmark collection for research on non-factoid answer passage retrieval. In SIGIR. 1165–1168.Google ScholarDigital Library
- [25] . 2014. JUST.ASK, a QA system that learns to answer new questions from previous interactions. In LREC. European Language Resources Association (ELRA), 2603–2607.Google Scholar
- [26] . 2010. Natural language interfaces to ontologies: Combining syntactic analysis and ontology-based lookup through the user interaction. In ESWC(
Lecture Notes in Computer Science , Vol. 6088). Springer, 106–120.Google ScholarDigital Library - [27] . 2017. Visual dialog. In CVPR. 326–335.Google ScholarCross Ref
- [28] . 2019. Multi-step retriever-reader interaction for scalable open-domain question answering. In ICLR (Poster). OpenReview.net.Google Scholar
- [29] . 2018. BERT: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).Google Scholar
- [30] . 2017. Quasar: Datasets for question answering by search and reading. arXiv preprint arXiv:1707.03904 (2017).Google Scholar
- [31] . 2019. Compact trilinear interaction for visual question answering. In ICCV. IEEE, 392–401.Google ScholarCross Ref
- [32] . 2017. SearchQA: A newQ&A dataset augmented with context from a search engine. arXiv preprint arXiv:1704.05179 (2017).Google Scholar
- [33] . 2003. Optimal aggregation algorithms for middleware. J. Comput. Syst. Sci. 66, 4 (2003), 614–656.Google ScholarDigital Library
- [34] . 2015. Applying deep learning to answer selection: A study and an open task. In ASRU. 813–820.Google ScholarCross Ref
- [35] . 2010. The benefits of the interaction between data warehouses and question answering. In EDBT/ICDT Workshops (ACM International Conference Proceeding Series). ACM.Google ScholarDigital Library
- [36] . 2013. Interactive document expansion for answer extraction of question answering system. In KES(
Procedia Computer Science , Vol. 22). Elsevier, 991–1000.Google Scholar - [37] . 2019. Multi-modality latent interaction network for visual question answering. In ICCV. IEEE, 5824–5834.Google Scholar
- [38] . 2018. IQA: Visual question answering in interactive environments. In CVPR. Computer Vision Foundation/IEEE Computer Society, 4089–4098.Google ScholarCross Ref
- [39] . 2017. Making the V in VQA matter: Elevating the role of image understanding in visual question answering. In CVPR. 6904–6913.Google ScholarCross Ref
- [40] . 2018. Dialog-to-action: Conversational question answering over a large-scale knowledge base. In NeurIPS 2018. 2946–2955.Google Scholar
- [41] . 2021. Re-attention for visual question answering. IEEE Trans. Image Process. 30 (2021), 6730–6743.Google ScholarDigital Library
- [42] . 2016. Question answering in conversations: Query refinement using contextual and semantic information. Data Knowl. Eng. 106 (2016), 38–51.Google ScholarDigital Library
- [43] . 2019. MICRON: Multigranular interaction for contextualizing representation in non-factoid question answering. In EMNLP/IJCNLP. Association for Computational Linguistics, 5889–5894.Google ScholarCross Ref
- [44] . 2017. Review on the advancements of disambiguation in semantic question answering system. Inf. Process. Manag. 53, 1 (2017), 52–69.Google ScholarCross Ref
- [45] . 2019. Learning to align question and answer utterances in customer service conversation with recurrent pointer networks. In AAAI. AAAI Press, 134–141.Google ScholarDigital Library
- [46] . 2001. Natural language question answering: The view from here. Nat. Lang. Eng. 7, 4 (2001), 275–300.Google ScholarDigital Library
- [47] . 2019. Academic reader: An interactive question answering system on academic literatures. In AAAI. AAAI Press, 9855–9856.Google ScholarDigital Library
- [48] . 2018. Attentive interactive convolutional matching for community question answering in social multimedia. In ACM Multimedia. ACM, 456–464.Google ScholarDigital Library
- [49] . 2018. FlowQA: Grasping flow in history for conversational machine comprehension. arXiv preprint arXiv:1810.06683 (2018).Google Scholar
- [50] . 2020. Exploring BERT parameter efficiency on the Stanford question answering dataset v2.0. CoRR abs/2002.10670 (2020).Google Scholar
- [51] . 2017. TGIF-QA: Toward spatio-temporal reasoning in visual question answering. In CVPR. IEEE Computer Society, 1359–1367.Google ScholarCross Ref
- [52] . 2021. Complex temporal question answering on knowledge graphs. In CIKM. 792–802.Google ScholarDigital Library
- [53] . 2019. Multi-interaction network with object relation for video question answering. In ACM Multimedia. ACM, 1193–1201.Google ScholarDigital Library
- [54] . 2017. TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension. arXiv preprint arXiv:1705.03551 (2017).Google Scholar
- [55] . 2019. Technical report on Conversational Question Answering. CoRR abs/1909.10772 (2019).Google Scholar
- [56] . 2022. Contrastive representation learning for conversational question answering over knowledge graphs. In CIKM. 925–934.Google ScholarDigital Library
- [57] . 2017. An analysis of visual question answering algorithms. In ICCV. 1965–1973.Google ScholarCross Ref
- [58] . 2020. Conversational question answering over passages by leveraging word proximity networks. In SIGIR. ACM, 2129–2132.Google ScholarDigital Library
- [59] . 2020. QASC: A dataset for question answering via sentence composition. In AAAI. 8082–8090.Google ScholarCross Ref
- [60] . 2017. DeepStory: Video story QA by deep embedded memory networks. arXiv preprint arXiv:1707.00836 (2017).Google Scholar
- [61] . 2013. Interactive question answering. In Emerging Applications of Natural Language Processing: Concepts and New Research. IGI Global, 149–169.Google ScholarCross Ref
- [62] . 2018. Visual coreference resolution in visual dialog using neural module networks. In ECCV. 153–169.Google ScholarDigital Library
- [63] Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, and Li Fei-Fei. 2017. Visual genome: Connecting language and vision using crowdsourced dense image annotations. Int. J. Comput. Vis. 123, 1 (2017), 32–73.Google ScholarDigital Library
- [64] . 2018. Toward data-driven tutorial question answering with deep learning conversational models. In BEA@NAACL-HLT. Association for Computational Linguistics, 273–283.Google ScholarCross Ref
- [65] . 2018. Question-answer selection in user to user marketplace conversations. In IWSDS(
Lecture Notes in Electrical Engineering , Vol. 579). Springer, 397–403.Google Scholar - [66] . 2020. Learning to identify follow-up questions in conversational question answering. In ACL. Association for Computational Linguistics, 959–968.Google ScholarCross Ref
- [67] . 2020. An audio-enriched bert-based framework for spoken multiple-choice question answering. In INTERSPEECH. ISCA, 4173–4177.Google Scholar
- [68] . 2020. Explaining question answering models through text generation. CoRR abs/2004.05569 (2020).Google Scholar
- [69] . 2019. automaTA: Human-machine interaction for answering context-specific questions. In L@S. ACM, 44:1–44:4.Google ScholarDigital Library
- [70] . 2018. TVQA: Localized, compositional video question answering. arXiv preprint arXiv:1809.01696 (2018).Google Scholar
- [71] . 2014. Constructing an interactive natural language interface for relational databases. Proc. VLDB Endow. 8, 1 (2014), 73–84.Google ScholarDigital Library
- [72] . 2017. A context-aware attention network for interactive question answering. In KDD. ACM, 927–935.Google ScholarDigital Library
- [73] . 2018. Tell-and-answer: Towards explainable visual question answering using attributes and captions. In EMNLP. Association for Computational Linguistics, 1338–1346.Google ScholarCross Ref
- [74] . 2019. Answer-supervised question reformulation for enhancing conversational machine comprehension. In MRQA@EMNLP. Association for Computational Linguistics, 38–47.Google ScholarCross Ref
- [75] . 2018. VQA-E: Explaining, elaborating, and enhancing your answers for visual questions. In ECCV(
Lecture Notes in Computer Science , Vol. 11211). Springer, 570–586.Google Scholar - [76] . 2020. Directional attention weaving for text-grounded conversational question answering. Neurocomputing 391 (2020), 13–24.Google ScholarCross Ref
- [77] . 2023. Few-shot in-context learning for knowledge base question answering. arXiv preprint arXiv:2305.01750 (2023).Google Scholar
- [78] . 2016. TGIF: A new dataset and benchmark on animated GIF description. In CVPR. IEEE Computer Society, 4641–4650.Google ScholarCross Ref
- [79] . 2019. BB-KBQA: BERT-based knowledge base question answering. In CCL(
Lecture Notes in Computer Science , Vol. 11856). Springer, 81–92.Google Scholar - [80] . 2018. NEURON: An interactive natural language interface for understanding query execution plans in RDBMS. CoRR abs/1805.05670 (2018).Google Scholar
- [81] . 2013. Interactive question answering based on FAQ. In CCL(
Lecture Notes in Computer Science , Vol. 8202). Springer, 73–84.Google Scholar - [82] . 2022. Declaration-based prompt tuning for visual question answering. In IJCAI.Google Scholar
- [83] . 2019. Intelligent voice agent and service (iVAS) for interactive and multimodal question and answers. In FQAS(
Lecture Notes in Computer Science , Vol. 11529). Springer, 396–402.Google ScholarDigital Library - [84] . 2013. Evaluating question answering over linked data. J. Web Semant. 21 (2013), 3–13.Google ScholarDigital Library
- [85] . 2020. Enabling interactive answering of procedural questions. In NLDB(
Lecture Notes in Computer Science , Vol. 12089). Springer, 73–81.Google ScholarCross Ref - [86] . 2019. Evaluating co-reference chains based conversation history in conversational question answering. In PACLING(
Communications in Computer and Information Science , Vol. 1215). Springer, 280–292.Google Scholar - [87] . 2020. Do not let the history haunt you: Mitigating compoundingerrors in conversational question answering. In LREC. European Language Resources Association, 2017–2025.Google Scholar
- [88] . 2019. OK-VQA: A visual question answering benchmark requiring external knowledge. In CVPR. 3195–3204.Google ScholarCross Ref
- [89] . 2019. A study of BERT for non-factoid question-answering under passage length constraints. CoRR abs/1908.06780 (2019).Google Scholar
- [90] . 2019. Pruning a BERT-based question answering model. CoRR abs/1910.06360 (2019).Google Scholar
- [91] . 2012. DBpedia: A Multilingual Cross-domain Knowledge Base. European Language Resources Association (ELRA).Google Scholar
- [92] . 2017. Agent-based reconfigurable natural language interface to robotsHuman-agent interaction using task-specific controlled natural languages. In ICAART. SciTePress, 632–639.Google Scholar
- [93] . 2018. Can a suit of armor conduct electricity? A new dataset for open book question answering. arXiv preprint arXiv:1809.02789 (2018).Google Scholar
- [94] . 2019. Memory graph networks for explainable memory-grounded question answering. In CoNLL. Association for Computational Linguistics, 728–736.Google ScholarCross Ref
- [95] . 2019. Answering conversational questions on structured data without logical forms. In EMNLP/IJCNLP. Association for Computational Linguistics, 5901–5909.Google ScholarCross Ref
- [96] . 2012. Interacting with data warehouse by using a natural language interface. In NLDB(
Lecture Notes in Computer Science , Vol. 7337). Springer, 372–377.Google ScholarDigital Library - [97] . 2019. Semeval-2015 task 3: Answer selection in community question answering. arXiv preprint arXiv:1911.11403 (2019).Google Scholar
- [98] . 2019. Learning to explain: Answering why-questions via rephrasing. CoRR abs/1906.01243 (2019).Google Scholar
- [99] . 2016. Justification and transparency explanations in dialogue systems to maintain human-computer trust. In Situated Dialog in Speech-based Human-computer Interaction. Springer, 41–50.Google ScholarCross Ref
- [100] . 2019. Question answering using hierarchical attention on top of BERT features. In MRQA@EMNLP. Association for Computational Linguistics, 191–195.Google ScholarCross Ref
- [101] . 2020. Conversational question answering in low resource scenarios: A dataset and case study for basque. In LREC. European Language Resources Association, 436–442.Google Scholar
- [102] . 2023. Relation-aware language-graph transformer for question answering. In AAAI. 13457–13464.Google ScholarDigital Library
- [103] . 2021. Bridge to answer: Structure-aware graph interaction network for video question answering. In CVPR. 15526–15535.Google ScholarCross Ref
- [104] . 2014. GloVE: Global vectors for word representation. In EMNLP. 1532–1543.Google ScholarCross Ref
- [105] . 2014. Interaction history based answer formulation for question answering. In KESW(
Communications in Computer and Information Science , Vol. 468). Springer, 128–139.Google ScholarCross Ref - [106] . 2015. Understanding questions and extracting answers: Interactive quiz game application design. In LTC(
Lecture Notes in Computer Science , Vol. 10930). Springer, 246–261.Google Scholar - [107] . 2018. Enhancing interaction with social networking sites for visually impaired people by using textual and visual question answering. In CICBA(
Communications in Computer and Information Science , Vol. 1031). Springer, 3–14.Google Scholar - [108] . 2019. Incorporate user representation for personal question answer selection using siamese network. In ICASSP. IEEE, 7540–7544.Google ScholarCross Ref
- [109] . 2020. Open-retrieval conversational question answering. In SIGIR. ACM, 539–548.Google ScholarDigital Library
- [110] . 2019. BERT with history answer embedding for conversational question answering. In SIGIR. ACM, 1133–1136.Google ScholarDigital Library
- [111] . 2019. Attentive history selection for conversational question answering. In CIKM. ACM, 1391–1400.Google ScholarDigital Library
- [112] . 2018. Know what you don’t know: Unanswerable questions for SQuAD. In ACL. Association for Computational Linguistics, 784–789.Google ScholarCross Ref
- [113] . 2016. SQuAD: 100, 000+ questions for machine comprehension of text. In EMNLP. The Association for Computational Linguistics, 2383–2392.Google ScholarCross Ref
- [114] . 2019. CoQA: A conversational question answering challenge. Trans. Assoc. Comput. Linguistics 7 (2019), 249–266.Google ScholarCross Ref
- [115] . 2015. Exploring models and data for image question answering. In NIPS. 2953–2961.Google ScholarDigital Library
- [116] . 2019. Integrating non-monotonic logical reasoning and inductive learning with deep learning for explainable visual question answering. Front. Robot. AI 6 (2019), 125.Google ScholarCross Ref
- [117] . 2017. End-to-end non-factoid question answering with an interactive visualization of neural attention weights. In ACL (System Demonstrations). Association for Computational Linguistics, 19–24.Google Scholar
- [118] . 2018. Complex sequential question answering: Towards learning to converse over linked question answer pairs with a knowledge graph. arXiv:1801.10314 (2018).Google Scholar
- [119] . 2019. FAQ retrieval using query-question similarity and BERT-based query-answer relevance. In SIGIR. ACM, 1113–1116.Google ScholarDigital Library
- [120] . 2022. Sequence-to-sequence knowledge graph completion and question answering. In ACL. 2814–2828.Google Scholar
- [121] . 2016. An interactive e-government question answering system. In LWDA(
CEUR Workshop Proceedings , Vol. 1670). CEUR-WS.org, 74–82.Google Scholar - [122] . 2020. Support-BERT: Predicting quality of question-answer pairs in MSDN using deep bidirectional transformer. CoRR abs/2005.08294 (2020).Google Scholar
- [123] . 2019. Intra-modality feature interaction using self-attention for visual question answering. In ICONIP(
Communications in Computer and Information Science , Vol. 1143). Springer, 215–222.Google ScholarCross Ref - [124] . 2023. Prompting large language models with answer heuristics for knowledge-based visual question answering. In CVPR. 14974–14983.Google ScholarCross Ref
- [125] . 2019. Multi-task learning for conversational question answering over a large-scale knowledge base. In EMNLP-IJCNLP. Association for Computational Linguistics, 2442–2451.Google ScholarCross Ref
- [126] . 2020. Multi-layer content interaction through quaternion product for visual question answering. In ICASSP. IEEE, 4412–4416.Google ScholarCross Ref
- [127] . 2018. Customized image narrative generation via interactive visual question generation and answering. In CVPR. Computer Vision Foundation/IEEE Computer Society, 8925–8933.Google ScholarCross Ref
- [128] . 2019. Multilingual question answering from formatted text applied to conversational agents. CoRR abs/1910.04659 (2019).Google Scholar
- [129] . 2018. Interactive instance-based evaluation of knowledge base question answering. In EMNLP (Demonstration). Association for Computational Linguistics, 114–119.Google ScholarCross Ref
- [130] . 2019. An adaptive framework for conversational question answering. In AAAI. AAAI Press, 10041–10042.Google ScholarDigital Library
- [131] . 2018. Natural language interfaces with fine-grained user interaction: A case study on web APIs. In SIGIR. ACM, 855–864.Google ScholarDigital Library
- [132] . 2016. On generating characteristic-rich question sets for QA evaluation. In EMNLP. 562–572.Google ScholarCross Ref
- [133] . 2016. Evaluation of question-answering system about conversational agent’s personality. In IWSDS(
Lecture Notes in Electrical Engineering , Vol. 427). Springer, 183–194.Google Scholar - [134] . 2022. Multimodal conversational AI: A survey of datasets and approaches. arXiv preprint arXiv:2205.06907 (2022).Google Scholar
- [135] . 2022. Entailer: Answering questions with faithful and truthful chains of reasoning. In EMNLP. 2078–2093.Google ScholarCross Ref
- [136] . 2023. Can ChatGPT replace traditional KBQA models? An in-depth analysis of the question answering performance of the GPT LLM family. In International Semantic Web Conference. Springer, 348–367.Google ScholarDigital Library
- [137] . 2023. Stanford Alpaca: An Instruction-following LLaMA model. Retrieved from https://github.com/tatsu-lab/stanford_alpacaGoogle Scholar
- [138] . 2023. Gemini: A family of highly capable multimodal models. arXiv preprint arXiv:2312.11805 (2023).Google Scholar
- [139] . 2021. Question rewriting for conversational question answering. In WSDM. ACM, 355–363.Google ScholarDigital Library
- [140] . 2021. Question rewriting for conversational question answering. In WSDM. 355–363.Google ScholarDigital Library
- [141] . 2019. How does BERT answer questions?: A layer-wise analysis of transformer representations. In CIKM. ACM, 1823–1832.Google ScholarDigital Library
- [142] . 2012. Connecting question answering and conversational agents—Contextualizing German questions for interactive question answering systems. Künstliche Intell. 26, 4 (2012), 381–390.Google ScholarCross Ref
- [143] . 2007. What is the jeopardy model? A quasi-synchronous grammar for QA. In EMNLP-CoNLL. 22–32.Google Scholar
- [144] . 2019. Multi-passage BERT: A globally normalized BERT model for open-domain question answering. In EMNLP/IJCNLP. Association for Computational Linguistics, 5877–5881.Google ScholarCross Ref
- [145] . 2015. Towards AI-complete question answering: A set of prerequisite toy tasks. arXiv preprint arXiv:1502.05698 (2015).Google Scholar
- [146] . 2012. Mixed-initiative conversational system using question-answer pairs mined from the web. In CIKM. ACM, 2707–2709.Google ScholarDigital Library
- [147] . 2012. Strategies for mixed-initiative conversation management using question-answer pairs. In COLING. Indian Institute of Technology Bombay, 2821–2834.Google Scholar
- [148] . 2011. Health conversational system based on contextual matching of community-driven question-answer pairs. In CIKM. ACM, 2577–2580.Google ScholarDigital Library
- [149] . 2017. Temporal interaction and causal influence in community-based question answering. IEEE Trans. Knowl. Data Eng. 29, 10 (2017), 2304–2317.Google ScholarDigital Library
- [150] . 2020. Building interactive sentence-aware representation based on generative language model for community question answering. Neurocomputing 389 (2020), 93–107.Google ScholarCross Ref
- [151] . 2020. PERQ: Predicting, explaining, and rectifying failed questions in KB-QA systems. In WSDM. ACM, 663–671.Google ScholarDigital Library
- [152] . 2017. Enhancing document-based question answering via interaction between question words and POS tags. In NLPCC(
Lecture Notes in Computer Science , Vol. 10619). Springer, 136–147.Google Scholar - [153] . 2016. Neural contextual conversation learning with labeled question-answering pairs. CoRR abs/1607.05809 (2016).Google Scholar
- [154] . 2016. MSR-VTT: A large video description dataset for bridging video and language. In CVPR. IEEE Computer Society, 5288–5296.Google ScholarCross Ref
- [155] . 2019. Asking clarification questions in knowledge-based question answering. In EMNLP-IJCNLP. Association for Computational Linguistics, 1618–1629.Google ScholarCross Ref
- [156] . 2019. End-to-end open-domain question answering with BERTserini. In NAACL-HLT (Demonstrations). Association for Computational Linguistics, 72–77.Google Scholar
- [157] . 2019. Data augmentation for BERT fine-tuning in open-domain question answering. CoRR abs/1904.06652 (2019).Google Scholar
- [158] . 2015. WikiQA: A challenge dataset for open-domain question answering. In EMNLP. 2013–2018.Google ScholarCross Ref
- [159] . 2020. BERT representations for video question answering. In WACV. IEEE, 1545–1554.Google ScholarCross Ref
- [160] . 2018. HotpotQA: A dataset for diverse, explainable multi-hop question answering. arXiv preprint arXiv:1809.09600 (2018).Google Scholar
- [161] . 2016. The value of semantic parse labeling for knowledge base question answering. In ACL. 201–206.Google ScholarCross Ref
- [162] . 2019. Interactive language learning by question answering. In EMNLP/IJCNLP. Association for Computational Linguistics, 2796–2813.Google ScholarCross Ref
- [163] . 2023. The Rise of Generative Question Answering with LLMs. Retrieved from https://shelf.io/blog/the-rise-of-generative-question-answering-with-llms/Google Scholar
- [164] . 2018. An attention-based word-level interaction model: Relation detection for knowledge base question answering. CoRR abs/1801.09893 (2018).Google Scholar
- [165] . 2017. Chinese medical question answer matching using end-to-end character-level multi-Scale CNNs. Appl. Sci. 7, 8 (2017), 767.Google ScholarCross Ref
- [166] . 2018. Multi-scale attentive interaction networks for chinese medical question answer selection. IEEE Access 6 (2018), 74061–74071.Google ScholarCross Ref
- [167] . 2019. An interactive mechanism to improve question answering systems via feedback. In CIKM. ACM, 1381–1390.Google ScholarDigital Library
- [168] . 2019. Multi-modal knowledge-aware hierarchical attention network for explainable medical question answering. In ACM Multimedia. ACM, 1089–1097.Google ScholarDigital Library
- [169] . 2019. Interactive natural language question answering over knowledge graphs. Inf. Sci. 481 (2019), 141–159.Google ScholarDigital Library
- [170] . 2022. ProQA: Structural prompt-based pre-training for unified question answering. In NAACL-HLT. 4230–4243.Google ScholarCross Ref
- [171] . 2016. Learning semantic representation with neural networks for community question answering retrieval. Knowl.-Based Syst. 93 (2016), 75–83.Google ScholarDigital Library
- [172] . 2017. Single turn Chinese emotional conversation generation based on information retrieval and question answering. In IALP. IEEE, 103–106.Google ScholarCross Ref
- [173] . 2018. SDNet: Contextualized attention-based deep network for conversational question answering. CoRR abs/1812.03593 (2018).Google Scholar
- [174] . 2016. Visual7W: Grounded question answering in images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 4995–5004.Google ScholarCross Ref
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