Fetching the paper…
Reading the bibliography…
In this paper, we address the problem of answering complex information needs by conversing conversations with search engines, in the sense that users can express their queries in natural language, and directly receivethe information they need from a short system response in a conversational manner.
Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset
Alexandru Balan Gustavo Penha and Claudia Hauff. 2019 · 1912
Earlier work this paper cites.
Anomalous States of Knowledge as A Basis for Information Retrieval
Nicholas J Belkin. 1980 · 1980
Earlier work this paper cites.
I3R: A New Approach to The Design of Document Retrieval Systems
W. Bruce Croft and R. H. Thompson. 1987 · 1987
Earlier work this paper cites.
CAsT-19: A Dataset for Conversational Information Seeking. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’20) . 1985–1988
Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, and Jamie Callan. 2020 · 1988
Earlier work this paper cites.
Cases, Scripts, and Information-seeking Strategies: On the Design of Interactive Information Retrieval Systems
Nicholas J Belkin, Colleen Cool, Adelheit Stein, and Ulrich Thiel. 1995 · 1995
Earlier work this paper cites.
Conversational Agents
James Lester, Karl Branting, and Bradford Mott. 2004 · 2004
Earlier work this paper cites.
Million Query Track 2009 Overview. In TREC 2009
Ben Carterette, Virgil Pavlu, Hui Fang, and Evangelos Kanoulas. 2009 · 2009
Earlier work this paper cites.
Overview of the TREC 2011 Session Track. In TREC 2011
Evangelos Kanoulas, Carterette Ben, Mark Hall, Paul Clough, and Mark Sanderson. 2011 · 2011
Earlier work this paper cites.
Designing Interactive Speech Systems: From First Ideas to User Testing
Niels O Bernsen, Hans Dybkjær, and Laila Dybkjær. 2012 · 2012
Earlier work this paper cites.
Towards An Open-domain Conversational System Fully Based on Natural Language Processing. In Proceedings of the 25th International Conference on Computational Linguistics (COLING’14) . 928–939
Ryuichiro Higashinaka, Kenji Imamura, Toyomi Meguro, Chiaki Miyazaki, Nozomi Kobayashi, Hiroaki Sugiyama, Toru Hirano, Toshiro Makino, and Yoshihiro Matsuo. 2014 · 2014
Earlier work this paper cites.
Teaching Machines to Read and Comprehend. In Proceedings of the 29th International Conference on Neural Information Processing Systems (NIPS’15) . 1693–1701
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
Earlier work this paper cites.
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems. In Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL’15) . 285–294
Ryan Lowe, Nissan Pow, Iulian Serban, and Joelle Pineau. 2015 · 2015
Earlier work this paper cites.
Towards Conversational Recommender Systems. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’16) . 815––824
Konstantina Christakopoulou, Filip Radlinski, and Katja Hofmann. 2016 · 2016
Earlier work this paper cites.
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. In Proceedings of the Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
Earlier work this paper cites.
SQuAD: 100,000+ Questions for Machine Comprehension of Text. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP’16) . 2383–2392
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Earlier work this paper cites.
The Value of Semantic Parse Labeling for Knowledge Base Question Answering. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL’16) . 201–206
Wen-tau Yih, Matthew Richardson, Chris Meek, Ming-Wei Chang, and Jina Suh. 2016 · 2016
Earlier work this paper cites.
Neural Generative Question Answering. In Proceedings of the Workshop on Human-Computer Question Answering
Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, and Xiaoming Li. 2016 · 2016
Earlier work this paper cites.
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL’17) . 1601–1611
Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
A Theoretical Framework for Conversational Search. In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR’17) . 117–126
Filip Radlinski and Nick Craswell. 2017 · 2017
Earlier work this paper cites.
Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’17) . 95–104
Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Jun Ma, and Maarten de Rijke. 2017 · 2017
Earlier work this paper cites.
Get To The Point: Summarization with Pointer-Generator Networks. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL’17) . 1073–1083
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Earlier work this paper cites.
Bidirectional Attention Flow for Machine Comprehension. In International Conference on Learning Representations (ICLR’17)
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hananneh Hajishirzi. 2017 · 2017
Earlier work this paper cites.
Conversational Exploratory Search via Interactive Storytelling. In 1st International Workshop on Search-Oriented Conversational AI
Svitlana Vakulenko, Ilya Markov, and Maarten de Rijke. 2017 · 2017
Earlier work this paper cites.
Attention is All You Need. In Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS’17) . 6000–6010
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Exploring Conversational Search With Humans, Assistants, and Wizards. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA’17) . 2187–2193
Alexandra Vtyurina, Denis Savenkov, Eugene Agichtein, and Charles L. A. Clarke. 2017 · 2017
Cited alongside, same era.
Dynamic Coattention Networks For Question Answering. In International Conference on Learning Representations (ICLR’17)
Caiming Xiong, Victor Zhong, and Richard Sochern. 2017 · 2017
Cited alongside, same era.
Conceptualizing Agent-human Interactions during the Conversational Search Process. In The 2nd Workshop on Conversational Approaches to Information Retrieval
Leif Azzopardi, Mateusz Dubiel, Martin Halvey, and Jeffery Dalton. 2018 · 2018
Cited alongside, same era.
Look before You Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19) . 729–738
Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, and Gerhard Weikum. 2019 · 2019
Later among the works it cites.
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. In International Conference on Learning Representations (ICLR’19)
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, and Andrew McCallum. 2019 · 2019
Later among the works it cites.
Wizard of Wikipedia: Knowledge-powered Conversational Agents. In The International Conference on Learning Representations (ICLR’19)
Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston. 2019 · 2019
Later among the works it cites.
Learning from On-Line User Feedback in Neural Question Answering on the Web. In The World Wide Web Conference (WWW’19) . 906–916
Bernhard Kratzwald and Stefan Feuerriegel. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP’18) . 5016–5026
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
Cited alongside, same era.
QuAC: Question Answering in Context. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP’18) . Association for Computational Linguistics, 2174–2184
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Neural Approaches to Conversational AI. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL’18) . 2–7
Jianfeng Gao, Michel Galley, and Lihong Li. 2018 · 2018
Cited alongside, same era.
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base. In Proceedings of the 32nd International Conference on Neural Information Processing Systems (NIPS’18) . 2942–2951
Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, and Jian Yin. 2018 · 2018
Cited alongside, same era.
The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, and Edward Grefenstette. 2018 · 2018
Cited alongside, same era.
Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL’18) . 1437–1447
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin. 2018 · 2018
Cited alongside, same era.
Towards Exploiting Background Knowledge for Building Conversation Systems. In The 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP’18) . 2322–2332
Nikita Moghe, Siddhartha Arora, Suman Banerjee, and Mitesh M Khapra. 2018 · 2018
Cited alongside, same era.
A Deep Reinforced Model for Abstractive Summarization. In International Conference on Learning Representations (ICLR’18)
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
Cited alongside, same era.
Latent Retrieval for Weakly Supervised Open Domain Question Answering. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL’19) . 6086–6096
Kenton Lee, Ming-Wei Chang, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Multi-style Generative Reading Comprehension. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL’19) . 2273–2284
Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, and Junji Tomita. 2019 · 2019
Later among the works it cites.
User Intent Prediction in Information-Seeking Conversations (CHIIR’19) . 25––33
Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, and Minghui Qiu. 2019 · 2019
Later among the works it cites.
CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, and Christopher D. Manning. 2019 · 2019
Later among the works it cites.
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP’19) . 2442–2451
Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, and Daxin Jiang. 2019 · 2019
Later among the works it cites.
ILPS at TREC 2019 Conversational Assistant Track. In TREC 2019
Nikos Voskarides, Dan Li, Andreas Panteli, and Pengjie Ren. 2019 · 2019
Later among the works it cites.
Macaw: An Extensible Conversational Information Seeking Platform
Hamed Zamani and Nick Craswell. 2019 · 2019
Later among the works it cites.
Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval. In Proceedings of 2020 Conference on Human Information Interaction and Retrieval (CHIIR’20)
Mohammad Aliannejadi, Manajit Chakraborty, Esteban Andrés Ríssola, and Fabio Crestani. 2020 · 2020
Closest in time.
Estimation-action-reflection: Towards deep interaction between conversational and recommender systems. In Proceedings of the 13th International Conference on Web Search and Data Mining (WSDM’20) . 304–312
Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, and Tat-Seng Chua. 2020 · 2020
Closest in time.
RefNet: A Reference-aware Network for Background based Conversation. In The 34th AAAI Conference on Artificial Intelligence (AAAI’20)
Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, and Maarten de Rijke. 2020 · 2020
Closest in time.
Open-Retrieval Conversational Question Answering. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’20) . 539–548
Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, and Mohit Iyyer. 2020 · 2020
Closest in time.
Thinking Globally, Acting Locally: Distantly Supervised Global-to-local Knowledge Selection for Background based Conversation. In The 34th AAAI Conference on Artificial Intelligence (AAAI’20)
Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, and Maarten de Rijke. 2020 · 2020
Closest in time.
Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer. In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing . 8039–8043
Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, and Hannes Schulz. 2020a · 2020
Closest in time.
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation
Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, and Hannes Schulz. 2020b · 2020
Closest in time.
Towards a model for spoken conversational search
Johanne R. Trippas, Damiano Spina, Paul Thomas, Mark Sanderson, Hideo Joho, and Lawrence Cavedon. 2020 · 2020
Closest in time.
Query Resolution for Conversational Search with Limited Supervision. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’20) . 921––930
Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, and Maarten de Rijke. 2020 · 2020
Closest in time.
Interactive Path Reasoning on Graph for Conversational Recommendation. In Proceedings of the 2020 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’20)
Xiangnan He Yisong Miao Xiang Wang Liang Chen Wenqiang Lei, Gangyi Zhang and Tat-Seng Chua. 2020 · 2020
Closest in time.
Generating Clarifying Questions for Information Retrieval. In Proceedings of the 29th International Conference on World Wide Web (WWW’20)
Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, and Gord Lueck. 2020 · 2020
Closest in time.