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A conversational information retrieval (CIR) system is an information retrieval (IR) system with a conversational interface which allows users to interact with the system to seek information via multi-turn conversations of natural language, in spoken or written form.
Fanda: A novel approach to perform follow-up query analysis
Liu, Q., Chen, B., Lou, J.-G., Jin, G., and Zhang, D. (2019b) · 1901
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Nogueira, R. and Cho, K. (2019) · 1901
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The second conversational intelligence challenge (convai2)
Dinan, E., Logacheva, V., Malykh, V., Miller, A., Shuster, K., Urbanek, J., Kiela, D., Szlam, A., Serban, I., Lowe, R., et al. (2019) · 1902
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Answer-based adversarial training for generating clarification questions
Rao, S. and Daumé III, H. (2019) · 1904
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Semantically conditioned dialog response generation via hierarchical disentangled self-attention
Chen, W., Chen, J., Qin, P., Yan, X., and Wang, W. Y. (2019a) · 1905
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Ohsugi, Y., Saito, I., Nishida, K., Asano, H., and Tomita, J. (2019) · 1905
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Target-guided open-domain conversation
Tang, J., Zhao, T., Xiong, C., Liang, X., Xing, E. P., and Hu, Z. (2019) · 1905
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Bert rediscovers the classical nlp pipeline
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Proactive human-machine conversation with explicit conversation goals
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Sparc: Cross-domain semantic parsing in context
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Introduction to neural network based approaches for question answering over knowledge graphs
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Roberta: A robustly optimized bert pretraining approach
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Towards universal dialogue act tagging for task-oriented dialogues
Paul, S., Goel, R., and Hakkani-Tür, D. (2019) · 1907
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Chen, Y., Wu, L., and Zaki, M. J. (2019b) · 1908
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Answering conversational questions on structured data without logical forms
Müller, T., Piccinno, F., Nicosia, M., Shaw, P., and Altun, Y. (2019) · 1908
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Deepcopy: Grounded response generation with hierarchical pointer networks
Yavuz, S., Rastogi, A., Chao, G.-L., and Hakkani-Tur, D. (2019) · 1908
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Flowdelta: Modeling flow information gain in reasoning for conversational machine comprehension
Yeh, Y.-T. and Chen, Y.-N. (2019) · 1908
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Taskmaster-1: Toward a realistic and diverse dialog dataset
Byrne, B., Krishnamoorthi, K., Sankar, C., Neelakantan, A., Duckworth, D., Yavuz, S., Goodrich, B., Dubey, A., Cedilnik, A., and Kim, K.-Y. (2019) · 1909
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Technical report on conversational question answering
Ju, Y., Zhao, F., Chen, S., Zheng, B., Yang, X., and Liu, Y. (2019) · 1909
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Ctrl: A conditional transformer language model for controllable generation
Keskar, N. S., McCann, B., Varshney, L. R., Xiong, C., and Socher, R. (2019) · 1909
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Yu, T., Zhang, R., Er, H. Y., Li, S., Xue, E., Pang, B., Lin, X. V., Tan, Y. C., Shi, T., Li, Z., et al. (2019b) · 1909
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Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., and Liu, P. J. (2019) · 1910
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Grounded conversation generation as guided traverses in commonsense knowledge graphs
Zhang, H., Liu, Z., Xiong, C., and Liu, Z. (2019a) · 1911
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On the likelihood that one unknown probability exceeds another in view of the evidence of two samples
Thompson, W. R. (1933) · 1933
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Asynchronous methods for deep reinforcement learning
Mnih, V., Adrià, Badia, P., Mirza, M., Graves, A., Lillicrap, T. P., Harley, T., Silver, D., and Kavukcuoglu, K. (2016) · 1937
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The automatic creation of literature abstracts
Luhn, H. P. (1958) · 1958
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Factors determining the performance of indexing systems,(volume 1: Design)
Cleverdon, C. W., Mills, J., and Keen, E. M. (1966) · 1966
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ELIZA: a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1966) · 1966
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Interactive search and retrieval methods using automatic information displays
Lesk, M. E. and Salton, G. (1969) · 1969
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Relevance feedback in information retrieval
Rocchio, J. (1971) · 1971
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How to do things with words
Austin, J. L. (1975) · 1975
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Artificial Paranoia: A Computer Simulation of Paranoid Processes
Colby, K. M. (1975) · 1975
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Relevance weighting of search terms
Robertson, S. E. and Jones, K. S. (1976) · 1976
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Information retrieval through man-machine dialogue
Oddy, R. N. (1977) · 1977
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The probability ranking principle in ir
Robertson, S. E. (1977) · 1977
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Organizing and searching large files of document descriptions
Croft, W. B. (1978) · 1978
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Information search tactics
Bates, M. J. (1979) · 1979
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Discourse analysis
Brown, G., Brown, G. D., Brown, G. R., Yule, G., and Gillian, B. (1983) · 1983
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Research on information interaction and intelligent information provision mechanisms
Brooks, H. M., Daniels, P. J., and Belkin, N. J. (1986) · 1986
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I3r: A new approach to the design of document retrieval systems
Croft, W. and Thompson, R. (1987) · 1987
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Society of mind
Minsky, M. (1988) · 1988
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The design of browsing and berrypicking techniques for the online search interface
Bates, M. J. (1989) · 1989
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Modern indexing and retrieval techniques matching different types of information needs
Ingwersen, P. and Wormell, I. (1989) · 1989
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Indexing by latent semantic analysis
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., and Harshman, R. (1990) · 1990
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The organization of learning
Gallistel, C. R. (1990) · 1990
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Integrated architectures for learning, planning, and reacting based on approximating dynamic programming
Sutton, R. S. (1990) · 1990
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Scatter/gather: a cluster-based approach to browsing large document collections
Cutting, D., Pedersen, J. O., Karger, D., and Tukey, J. (1992) · 1992
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Information retrieval interaction
Ingwersen, P. (1992) · 1992
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Designing the user interface. strategies for effective human-computer interaction
Schneiderman, B. (1992) · 1992
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Williams, R. J. (1992) · 1992
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An interface for navigating clustered document sets returned by queries
Allen, R. B., Obry, P., and Littman, M. (1993) · 1993
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Keeping the neural networks simple by minimizing the description length of the weights
Hinton, G. E. and Van Camp, D. (1993) · 1993
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Tilebars: visualization of term distribution information in full text information access
Hearst, M. A. (1995) · 1995
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An evaluation of techniques for clustering search results
Croft, W. B. and Leouski, A. V. (1996) · 1996
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Clarifying search: A user-interface framework for text searches
Shneiderman, B., Byrd, D., and Croft, W. B. (1997) · 1997
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The use of mmr, diversity-based reranking for reordering documents and producing summaries
Carbonell, J. and Goldstein, J. (1998) · 1998
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Generation that exploits corpus-based statistical knowledge
Langkilde, I. and Knight, K. (1998) · 1998
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Towards a cognitive theory of information retrieval
Sutcliffe, A. and Ennis, M. (1998) · 1998
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Advantages of query biased summaries in information retrieval
Tombros, A., Sanderson, M., and Gray, P. (1998) · 1998
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Catastrophic forgetting in connectionist networks
French, R. M. (1999) · 1999
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Actor-critic algorithms
Konda, V. R. and Tsitsiklis, J. N. (1999) · 1999
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Advances in automatic text summarization mit press
Mani, I. and Maybury, M. T. (1999) · 1999
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Analysis of a very large web search engine query log
Silverstein, C., Marais, H., Henzinger, M., and Moricz, M. (1999) · 1999
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Policy gradient methods for reinforcement learning with function approximation
Sutton, R. S., McAllester, D., Singh, S. P., and Mansour, Y. (1999) · 1999
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Statistics-based summarization-step one: Sentence compression
Knight, K. and Marcu, D. (2000) · 2000
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Dialogue act modeling for automatic tagging and recognition of conversational speech
Stolcke, A., Ries, K., Coccaro, N., Shriberg, E., Bates, R., Jurafsky, D., Taylor, P., Martin, R., Ess-Dykema, C. V., and Meteer, M. (2000) · 2000
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A natural policy gradient
Kakade, S. (2001) · 2001
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A taxonomy of web search
Broder, A. (2002) · 2002
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REALM: Retrieval-augmented language model pre-training
Guu, K., Lee, K., Tung, Z., Pasupat, P., and Chang, M.-W. (2020) · 2002
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Optimizing search engines using clickthrough data
Joachims, T. (2002) · 2002
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The next decade in ai: four steps towards robust artificial intelligence
Marcus, G. (2020) · 2002
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Few-shot natural language generation for task-oriented dialog
Peng, B., Zhu, C., Li, C., Li, X., Li, J., Zeng, M., and Gao, J. (2020c) · 2002
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Introduction to the special issue on summarization
Radev, D. R., Hovy, E., and McKeown, K. (2002) · 2002
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How much knowledge can you pack into the parameters of a language model?
Roberts, A., Raffel, C., and Shazeer, N. (2020) · 2002
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Recent advances in hierarchical reinforcement learning
Barto, A. G. and Mahadevan, S. (2003) · 2003
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A neural probabilistic language model
Bengio, Y., Ducharme, R., Vincent, P., and Janvin, C. (2003) · 2003
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Electra: Pre-training text encoders as discriminators rather than generators
Clark, K., Luong, M.-T., Le, Q. V., and Manning, C. D. (2020) · 2003
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Trec cast 2019: The conversational assistance track overview
Dalton, J., Xiong, C., and Callan, J. (2020) · 2003
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Bisk, Y., Holtzman, A., Thomason, J., Andreas, J., Bengio, Y., Chai, J., Lapata, M., Lazaridou, A., May, J., Nisnevich, A., et al. (2020) · 2004
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Lexrank: Graph-based lexical centrality as salience in text summarization
Erkan, G. and Radev, D. R. (2004) · 2004
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ROUGE: A package for automatic evaluation of summaries
Lin, C.-Y. (2004) · 2004
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Ambigqa: Answering ambiguous open-domain questions
Min, S., Michael, J., Hajishirzi, H., and Zettlemoyer, L. (2020) · 2004
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Cmradar: A personal assistant agent for calendar management
Modi, P. J., Veloso, M., Smith, S. F., and Oh, J. (2004) · 2004
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Language models are few-shot learners
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. (2020) · 2005
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Overview of duc 2005
Dang, H. T. (2005) · 2005
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Evaluating implicit measures to improve web search
Fox, S., Karnawat, K., Mydland, M., Dumais, S., and White, T. (2005) · 2005
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From standard summarization to new tasks and beyond: Summarization with manifold information
Gao, S., Chen, X., Ren, Z., Zhao, D., and Yan, R. (2020c) · 2005
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Visualizing query occurrence in search result lists
Heimonen, T. and Jhaveri, N. (2005) · 2005
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A simple language model for task-oriented dialogue
Hosseini-Asl, E., McCann, B., Wu, C.-S., Yavuz, S., and Socher, R. (2020) · 2005
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-t., Rocktäschel, T., et al. (2020) · 2005
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Lin, S.-C., Yang, J.-H., Nogueira, R., Tsai, M.-F., Wang, C.-J., and Lin, J. (2020b) · 2005
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Sparse, dense, and attentional representations for text retrieval
Luan, Y., Eisenstein, J., Toutanova, K., and Collins, M. (2020) · 2005
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Soloist: Few-shot task-oriented dialog with a single pre-trained auto-regressive model
Peng, B., Li, C., Li, J., Shayandeh, S., Liden, L., and Gao, J. (2020a) · 2005
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Natural actor-critic
Peters, J., Vijayakumar, S., and Schaal, S. (2005) · 2005
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The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis
Pirolli, P. and Card, S. (2005) · 2005
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Trec: Experiment and evaluation in information retrieval
Voorhees, E. M., Harman, D. K., et al. (2005) · 2005
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Deploying a personalized time management agent
Berry, P., Peintner, B., Conley, K., Gervasio, M., Uribe, T., and Yorke-Smith, N. (2006) · 2006
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Evaluation of text generation: A survey
Celikyilmaz, A., Clark, E., and Gao, J. (2020) · 2006
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Scheduling with uncertain resources: Collaboration with the user
Fink, E., Bardak, U., Rothrock, B., and Carbonell, J. G. (2006) · 2006
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Conversational machine comprehension: a literature review
Gupta, S., Rawat, B. P. S., and Yu, H. (2020) · 2006
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Deberta: Decoding-enhanced bert with disentangled attention
He, P., Liu, X., Gao, J., and Chen, W. (2020) · 2006
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A comparative user study of web search interfaces: Hotmap, concept highlighter, and google
Hoeber, O. and Yang, X. (2006) · 2006
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The turn: Integration of information seeking and retrieval in context
Ingwersen, P. and Järvelin, K. (2006) · 2006
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Exploratory search: from finding to understanding
Marchionini, G. (2006) · 2006
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Open-domain conversational agents: Current progress, open problems, and future directions
Roller, S., Boureau, Y.-L., Weston, J., Bordes, A., Dinan, E., Fan, A., Gunning, D., Ju, D., Li, M., Poff, S., et al. (2020) · 2006
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Alice: an ace in digitaland
Shah, H. (2006) · 2006
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Exploring web search results clustering
Wang, X. and Bramer, M. (2006) · 2006
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DBpedia: A nucleus for a web of open data
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., and Ives, Z. (2007) · 2007
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Domain-specific language model pretraining for biomedical natural language processing
Gu, Y., Tinn, R., Cheng, H., Lucas, M., Usuyama, N., Liu, X., Naumann, T., Gao, J., and Poon, H. (2020) · 2007
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Modeling human-agent interaction with active ontologies
Guzzoni, D., Baur, C., and Cheyer, A. (2007) · 2007
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Leveraging passage retrieval with generative models for open domain question answering
Izacard, G. and Grave, E. (2020) · 2007
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The emotion machine: Commonsense thinking, artificial intelligence, and the future of the human mind
Minsky, M. (2007) · 2007
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Freebase: a collaboratively created graph database for structuring human knowledge
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., and Taylor, J. (2008) · 2008
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Selecting good expansion terms for pseudo-relevance feedback
Cao, G., Nie, J.-Y., Gao, J., and Robertson, S. (2008) · 2008
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Radar: A personal assistant that learns to reduce email overload
Freed, M., Carbonell, J. G., Gordon, G. J., Hayes, J., Myers, B. A., Siewiorek, D. P., Smith, S. F., Steinfeld, A., and Tomasic, A. (2008) · 2008
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Hybrid reinforcement/supervised learning of dialogue policies from fixed data sets
Henderson, J., Lemon, O., and Georgila, K. (2008) · 2008
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Transforming wikipedia into named entity training data
Nothman, J., Curran, J. R., and Murphy, T. (2008) · 2008
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Introduction to information retrieval
Hybrid code networks: Practical and efficient end-to-end dialog control with supervised and reinforcement learning
Williams, J. D., Asadi, K., and Zweig, G. (2017) · 2017
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Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots
Wu, Y., Wu, W., Xing, C., Zhou, M., and Li, Z. (2017) · 2017
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End-to-end neural ad-hoc ranking with kernel pooling
Xiong, C., Dai, Z., Callan, J., Liu, Z., and Power, R. (2017) · 2017
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Selective encoding for abstractive sentence summarization
Zhou, Q., Yang, N., Wei, F., and Zhou, M. (2017) · 2017
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Equity of attention: Amortizing individual fairness in rankings
Biega, A. J., Gummadi, K. P., and Weikum, G. (2018) · 2018
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
SchManning, Christopher D and Raghavan, Prabhakar and ütze, H. (2008) · 2008
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Using only cross-document relationships for both generic and topic-focused multi-document summarizations
Wan, X. (2008) · 2008
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Convai3: Generating clarifying questions for open-domain dialogue systems (clariq)
Aliannejadi, M., Kiseleva, J., Chuklin, A., Dalton, J., and Burtsev, M. (2020) · 2009
Cited alongside, same era.
A survey of web clustering engines
Carpineto, C., Osiński, S., Romano, G., and Weiss, D. (2009) · 2009
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Robust conversational ai with grounded text generation
Gao, J., Peng, B., Li, C., Li, J., Shayandeh, S., Liden, L., and Shum, H.-Y. (2020a) · 2009
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Search user interfaces
Hearst, M. (2009) · 2009
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Learning to rank for information retrieval
Liu, T.-Y. et al. (2009) · 2009
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Budzianowski, P., Wen, T.-H., Tseng, B.-H., Casanueva, I., Ultes, S., Ramadan, O., and Gasic, M. (2018) · 2018
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Feudal reinforcement learning for dialogue management in large domains
Casanueva, I., Budzianowski, P., Su, P.-H., Ultes, S., Rojas-Barahona, L. M., Tseng, B.-H., and Gašić, M. (2018) · 2018
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Deep communicating agents for abstractive summarization
Celikyilmaz, A., Bosselut, A., He, X., and Choi, Y. (2018) · 2018
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Fast abstractive summarization with reinforce-selected sentence rewriting
Chen, Y.-C. and Bansal, M. (2018) · 2018
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Quac: Question answering in context
Choi, E., He, H., Iyyer, M., Yatskar, M., Yih, W.-t., Choi, Y., Liang, P., and Zettlemoyer, L. (2018) · 2018
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Research frontiers in information retrieval: Report from the third strategic workshop on information retrieval in Lorne (SWIRL 2018)
Culpepper, J. S., Diaz, F., and Smucker, M. (2018) · 2018
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Boosting the actor with dual critic
Dai, B., Shaw, A., He, N., Li, L., and Song, L. (2018) · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018) · 2018
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Dataset and baselines for sequential open-domain question answering
Elgohary, A., Zhao, C., and Boyd-Graber, J. (2018) · 2018
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Sounding board: A user-centric and content-driven social chatbot
Fang, H., Cheng, H., Sap, M., Clark, E., Holtzman, A., Choi, Y., Smith, N. A., and Ostendorf, M. (2018) · 2018
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Bottom-up abstractive summarization
Gehrmann, S., Deng, Y., and Rush, A. M. (2018) · 2018
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Flexible and scalable state tracking framework for goal-oriented dialogue systems
Goel, R., Paul, S., Chung, T., Lecomte, J., Mandal, A., and Hakkani-Tur, D. (2018) · 2018
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Dialog-to-action: conversational question answering over a large-scale knowledge base
Guo, D., Tang, D., Duan, N., Zhou, M., and Yin, J. (2018) · 2018
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Flowqa: Grasping flow in history for conversational machine comprehension
Huang, H.-Y., Choi, E., and Yih, W.-t. (2018) · 2018
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Kamath, A. and Das, R. (2018) · 2018
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Not all samples are created equal: Deep learning with importance sampling
Katharopoulos, A. and Fleuret, F. (2018) · 2018
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Contextual topic modeling for dialog systems
Khatri, C., Goel, R., Hedayatnia, B., Metanillou, A., Venkatesh, A., Gabriel, R., and Mandal, A. (2018a) · 2018
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The alexa meaning representation language
Kollar, T., Berry, D., Stuart, L., Owczarzak, K., Chung, T., Mathias, L., Kayser, M., Snow, B., and Matsoukas, S. (2018) · 2018
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Towards deep conversational recommendations
Li, R., Kahou, S., Schulz, H., Michalski, V., Charlin, L., and Pal, C. (2018) · 2018
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BBQ-networks: Efficient exploration in deep reinforcement learning for task-oriented dialogue systems
Lipton, Z. C., Gao, J., Li, L., Li, X., Ahmed, F., and Deng, L. (2018) · 2018
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Responsible bots: 10 guidelines for developers of conversational ai
Microsoft (2018) · 2018
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An introduction to neural information retrieval
Mitra, B., Craswell, N., et al. (2018) · 2018
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Deep dyna-q: Integrating planning for task-completion dialogue policy learning
Peng, B., Li, X., Gao, J., Liu, J., and Wong, K.-F. (2018) · 2018
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Know what you don’t know: Unanswerable questions for SQuAD
Rajpurkar, P., Jia, R., and Liang, P. (2018) · 2018
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Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information
Rao, S. and Daumé III, H. (2018) · 2018
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CoQA: A conversational question answering challenge
Reddy, S., Chen, D., and Manning, C. D. (2018) · 2018
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Conversational query understanding using sequence to sequence modeling
Ren, G., Ni, X., Malik, M., and Ke, Q. (2018a) · 2018
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Towards universal dialogue state tracking
Ren, L., Xie, K., Chen, L., and Yu, K. (2018b) · 2018
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A tutorial on Thompson sampling
Russo, D. J., Van Roy, B., Kazerouni, A., Osband, I., and Wen, Z. (2018) · 2018
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Saha, A., Pahuja, V., Khapra, M. M., Sankaranarayanan, K., and Chandar, S. (2018) · 2018
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Fairness of exposure in rankings
Singh, A. and Joachims, T. (2018) · 2018
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Discriminative deep dyna-q: Robust planning for dialogue policy learning
Su, S.-Y., Li, X., Gao, J., Liu, J., and Chen, Y.-N. (2018) · 2018
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Reinforcement Learning: An Introduction
Sutton, R. S. and Barto, A. G. (2018) · 2018
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Subgoal discovery for hierarchical dialogue policy learning
Tang, D., Li, X., Gao, J., Wang, C., Li, L., and Jebara, T. (2018) · 2018
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