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Recent studies on Question Answering (QA) and Conversational QA (ConvQA) emphasize the role of retrieval: a system first retrieves evidence from a large collection and then extracts answers.
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Rajpurkar, P., Zhang, J., Lopyrev, K., Liang, P.: SQuAD: 100, 000+ Questions for Machine Comprehension of Text. In: EMNLP (2016)
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Wu, Y., Wu, W.Y., Zhou, M., Li, Z.: Sequential Match Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots. In: ACL (2016)
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Yan, R., Song, Y., Wu, H.: Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System. In: SIGIR (2016)
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Yan, R., Song, Y., Zhou, X., Wu, H.: ”Shall I Be Your Chat Companion?”: Towards an Online Human-Computer Conversation System. In: CIKM (2016)
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Chen, D., Fisch, A., Weston, J., Bordes, A.: Reading Wikipedia to Answer Open-Domain Questions. In: ACL (2017)
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Clark, C., Gardner, M.: Simple and Effective Multi-Paragraph Reading Comprehension. In: ACL (2017)
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Dhingra, B., Mazaitis, K., Cohen, W.W.: Quasar: Datasets for Question Answering by Search and Reading. ArXiv (2017)
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Dunn, M., Sagun, L., Higgins, M., Güney, V.U., Cirik, V., Cho, K.: SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine. ArXiv (2017)
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Joshi, M., Choi, E., Weld, D.S., Zettlemoyer, L.: TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. In: ACL (2017)
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Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: Attention Is All You Need. In: NIPS (2017)
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Choi, E., He, H., Iyyer, M., Yatskar, M., Yih, W.T., Choi, Y., Liang, P., Zettlemoyer, L.: QuAC: Question Answering in Context. In: EMNLP (2018)
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Cohen, D., Yang, L., Croft, W.B.: WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. In: SIGIR (2018)
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Htut, P.M., Bowman, S.R., Cho, K.: Training a Ranking Function for Open-Domain Question Answering. In: NAACL-HLT (2018)
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Huang, H.Y., Choi, E., tau Yih, W.: Flowqa: Grasping flow in history for conversational machine comprehension. ArXiv (2018)
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Kratzwald, B., Feuerriegel, S.: Adaptive Document Retrieval for Deep Question Answering. In: EMNLP (2018)
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Lan, Z.Z., Chen, M., Goodman, S., Gimpel, K., Sharma, P., Soricut, R.: ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. ArXiv (2019)
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Lee, K., Chang, M.W., Toutanova, K.: Latent Retrieval for Weakly Supervised Open Domain Question Answering. In: ACL (2019)
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Li, J., Qiu, L., Tang, B., Chen, D., Zhao, D., Yan, R.: Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation. In: AAAI (2019)
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Qu, C., Yang, L., Qiu, M., Zhang, Y., Chen, C., Croft, W.B., Iyyer, M.: Attentive History Selection for Conversational Question Answering. In: CIKM (2019)
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Qu, C., Yang, L., Qiu, M., Croft, W.B., Zhang, Y., Iyyer, M.: BERT with History Answer Embedding for Conversational Question Answering. In: SIGIR (2019)
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Lee, J., Yun, S., Kim, H., Ko, M., Kang, J.: Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering. In: EMNLP (2018)
2018
Cited alongside, same era.
Rajpurkar, P., Jia, R., Liang, P.: Know What You Don’t Know: Unanswerable Questions for SQuAD. In: ACL (2018)
2018
Cited alongside, same era.
Reddy, S., Chen, D., Manning, C.D.: CoQA: A Conversational Question Answering Challenge. TACL 7
2018
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Wang, S., Yu, M., Guo, X., Wang, Z., Klinger, T., Zhang, W., Chang, S., Tesauro, G., Zhou, B., Jiang, J.: R3: Reinforced Ranker-Reader for Open-Domain Question Answering. In: AAAI (2018)
2018
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Wieting, J., Gimpel, K.: ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. In: ACL (2018)
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Wolf, T., Sanh, V., Chaumond, J., Delangue, C.: TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents. In: NeurIPS CAI Workshop (2018)
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Yang, L., Qiu, M., Qu, C., Guo, J., Zhang, Y., Croft, W.B., Huang, J., Chen, H.: Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. In: SIGIR (2018)
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Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I.: Language Models are Unsupervised Multitask Learners. OpenAI Blog (2019)
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Tao, C., Wu, W., Xu, C., Hu, W., Zhao, D., Yan, R.: Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. In: WSDM (2019)
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Turc, I., Chang, M.W., Lee, K., Toutanova, K.: Well-Read Students Learn Better: On the Importance of Pre-training Compact Models. ArXiv (2019)
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Yang, L., Hu, J., Qiu, M., Qu, C., Gao, J., Croft, W.B., Liu, X., Shen, Y., Liu, J.: A Hybrid Retrieval-Generation Neural Conversation Model. In: CIKM (2019)
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Yang, W., Xie, Y., Lin, A., Li, X., Tan, L., Xiong, K., Li, M., Lin, J.: End-to-End Open-Domain Question Answering with BERTserini. In: NAACL-HLT (2019)
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Yeh, Y.T., Chen, Y.N.: FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension. ArXiv (2019)
2019
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Chen, L., Tang, Z., Yang, G.: Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval. In: SIGIR (2020)
2020
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Garg, S., Vu, T., Moschitti, A.: TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection. In: AAAI (2020)
2020
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Karpukhin, V., Ouguz, B., Min, S., Wu, L.Y., Edunov, S., Chen, D., tau Yih, W.: Dense Passage Retrieval for Open-Domain Question Answering. In: EMNLP (2020)
2020
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Krishna, K., Wieting, J., Iyyer, M.: Reformulating Unsupervised Style Transfer as Paraphrase Generation. In: EMNLP (2020)
2020
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Qu, C., Yang, L., Chen, C., Qiu, M., Croft, W.B., Iyyer, M.: Open-Retrieval Conversational Question Answering. In: SIGIR (2020)
2020
Later among the works it cites.
Yang, L., Qiu, M., Qu, C., Chen, C., Guo, J., Zhang, Y., Croft, W.B., Chen, H.: IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. In: WWW (2020)
2020
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Zhou, J., Agichtein, E.: RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search. In: WWW (2020)
2020
Later among the works it cites.
Qiu, M., Huang, X., Chen, C., Feng Ji, C.Q., Wei, W., Huang, J., Zhang, Y.: Reinforced History Backtracking for Conversational Question Answering. In: AAAI (2021)
2021
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