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Weakly-Supervised Open-Retrieval Conversational Question Answering [article]

Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer
2021 arXiv   pre-print
This open-retrieval ConvQA setting typically assumes that each question is answerable by a single span of text within a particular passage (a span answer).  ...  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.  ...  Acknowledgments This work was supported in part by the Center for Intelligent Information Retrieval and in part by NSF IIS-1715095.  ... 
arXiv:2103.02537v1 fatcat:4uu7yyemo5dplkamelekoasuwa

Open-Retrieval Conversational Question Answering [article]

Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer
2020 pre-print
To address this limitation, we introduce an open-retrieval conversational question answering (ORConvQA) setting, where we learn to retrieve evidence from a large collection before extracting answers, as  ...  Recent research approaches conversational search by simplified settings of response ranking and conversational question answering, where an answer is either selected from a given candidate set or extracted  ...  ACKNOWLEDGMENTS This work was supported in part by the Center for Intelligent Information Retrieval, in part by NSF IIS-1715095, and in part by China Postdoctoral Science Foundation (No. 2019M652038).  ... 
doi:10.1145/3397271.3401110 arXiv:2005.11364v1 fatcat:h2wy2as6zjhvdipzz53tmlbovy

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching

Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy
2022 Transactions of the Association for Computational Linguistics  
In a conversational question answering scenario, a questioner seeks to extract information about a topic through a series of interdependent questions and answers.  ...  TopiOCQA contains 3,920 conversations with information-seeking questions and free-form answers.  ...  This work is supported by the following grants: MSR-Mila Grant, NSERC Discovery Grant on Robust conversational models for accessing the world's knowledge, and the Facebook CIFAR AI Chair.  ... 
doi:10.1162/tacl_a_00471 fatcat:4pp3tyraz5cz3iycuc76yvlv24

Open-Retrieval Conversational Machine Reading [article]

Yifan Gao, Jingjing Li, Chien-Sheng Wu, Michael R. Lyu, Irwin King
2021 arXiv   pre-print
In the open-retrieval setting, the relevant rule texts are unknown so that a system needs to retrieve question-relevant evidence from a collection of rule texts, and answer users' high-level questions  ...  In this work, we propose and investigate an open-retrieval setting of conversational machine reading.  ...  Final Answer: Yes. (You can apply the loan.) Fig. 1 . Open retrieval conversational machine reading task.  ... 
arXiv:2102.08633v3 fatcat:qdehchvzsndllivzvpffmd244y

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching [article]

Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy
2022 arXiv   pre-print
In a conversational question answering scenario, a questioner seeks to extract information about a topic through a series of interdependent questions and answers.  ...  TopiOCQA contains 3,920 conversations with information-seeking questions and free-form answers.  ...  A Annotators Details Each conversation in TOPIOCQA is an interaction between two annotators -a questioner and an answerer. The annotators were selected from  ... 
arXiv:2110.00768v3 fatcat:pywhpoobf5blphktw65eqgd7pu

Multifaceted Improvements for Conversational Open-Domain Question Answering [article]

Tingting Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, Philip S. Yu
2022 arXiv   pre-print
To alleviate these limitations, in this paper, we propose a framework with Multifaceted Improvements for Conversational open-domain Question Answering (MICQA).  ...  Open-domain question answering (OpenQA) is an important branch of textual QA which discovers answers for the given questions based on a large number of unstructured documents.  ...  Previous work [21] firstly defines the task of open-retrieval conversational question answering (ORConvQA) and proposes an effective end-to-end system to deal with it.  ... 
arXiv:2204.00266v1 fatcat:dbsjylk55fhapjriqyotwuipli

Open-Domain Question Answering Goes Conversational via Question Rewriting [article]

Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, Shayne Longpre, Stephen Pulman, Srinivas Chappidi
2021 arXiv   pre-print
We introduce a new dataset for Question Rewriting in Conversational Context (QReCC), which contains 14K conversations with 80K question-answer pairs.  ...  Answers to questions in the same conversation may be distributed across several web pages.  ...  Consequently, there is a clear need to extend open-domain question answering (QA) to a conversational setting.  ... 
arXiv:2010.04898v3 fatcat:r357s67rcrcjjkb7efe3cji3mu

Role of Attentive History Selection in Conversational Information Seeking [article]

Somil Gupta, Neeraj Sharma
2021 arXiv   pre-print
The novelty of our approach lies in experimenting with soft attention-based history selection approach in an open-retrieval setting.  ...  Currently proposed models for these datasets incorporate history in retrieval by appending the last N turns to the current question before encoding.  ...  CONCLUSION In this work, we proposed a history attention retriever mechanism for Open Retrieval question answer settings.  ... 
arXiv:2102.03749v1 fatcat:dnnaym2dqzfjrp5j5a3eh3jdwa

ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ) [article]

Mohammad Aliannejadi and Julia Kiseleva and Aleksandr Chuklin and Jeff Dalton and Mikhail Burtsev
2020 arXiv   pre-print
Participants are asked to rank clarifying questions in an information-seeking conversations.  ...  The main aim of the conversational systems is to return an appropriate answer in response to the user requests. However, some user requests might be ambiguous.  ...  Therefore, we are limited to understand clarifying questions for open-domain conversations.  ... 
arXiv:2009.11352v1 fatcat:tm6joyjezndzjn7idtyx5fjxma

Question Answering over Curated and Open Web Sources

Rishiraj Saha Roy, Avishek Anand
2020 Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval  
The last few years have seen an explosion of research on the topic of automated question answering (QA), spanning the communities of information retrieval, natural language processing, and artificial intelligence  ...  We partition research contributions by the underlying source from where answers are retrieved: curated knowledge graphs, unstructured text, or hybrid corpora.  ...  New Horizons in QA 4.4.1 Conversational QA. Conversational QA involves a sequence of questions and answers that appear as a natural dialogue between the system and the user.  ... 
doi:10.1145/3409256.3409809 fatcat:5wlhbqpftrfr5a5uosrnxnt4ve

Macaw: An Extensible Conversational Information Seeking Platform [article]

Hamed Zamani, Nick Craswell
2019 arXiv   pre-print
Macaw supports multi-turn, multi-modal, and mixed-initiative interactions, and enables research for tasks such as document retrieval, question answering, recommendation, and structured data exploration  ...  Conversational information seeking (CIS) has been recognized as a major emerging research area in information retrieval.  ...  RETRIEVAL AND QUESTION ANSWERING IN MACAW The overview of retrieval and question answering actions in Macaw is shown in Figure 4 .  ... 
arXiv:1912.08904v1 fatcat:wfdzexyxbrbcnppxjfchbizcqe

OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience [article]

Miaoran Li, Baolin Peng, Jianfeng Gao, Zhu Zhang
2022 arXiv   pre-print
Existing studies in conversational AI mostly treat task-oriented dialog (TOD) and question answering (QA) as separate tasks.  ...  We propose a unified model OPERA (Open-book End-to-end Task-oriented Dialog) which can appropriately access explicit and implicit external knowledge to tackle the defined task.  ...  an open-retrieval conversational question answering setting.  ... 
arXiv:2206.12449v1 fatcat:yocu56b3ezfithqcolfrylddnu

The Seventh Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI'22)

Gustavo Penha, Svitlana Vakulenko, Ondrej Dusek, Leigh Clark, Vaishali Pal, Vaibhav Adlakha
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
CCS CONCEPTS • Information systems → Users and interactive retrieval; Presentation of retrieval results; Evaluation of retrieval results.  ...  search to search interfaces enabled via human-like dialogue leads to a number of challenges, and although such challenges have received more attention in the recent years, there are many pending research questions  ...  The task of conversational QA builds on the conversational passage retrieval task (see, e.g., TREC CAsT setup [8] ) and extends it to also produce a concise answer based on the retrieved passages, which  ... 
doi:10.1145/3477495.3531700 fatcat:kk3batsm2zgsvck7zjtewdt2ka

Dialog Inpainting: Turning Documents into Dialogs [article]

Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu
2022 arXiv   pre-print
However, conversational question answering (ConvQA) systems have long been stymied by scarce training data that is expensive to collect.  ...  Many important questions (e.g. "How to eat healthier?") require conversation to establish context and explore in depth.  ...  Related Work Conversational question answering retrieval.  ... 
arXiv:2205.09073v2 fatcat:5hrmrghopzhnlcgfydhtyecsny

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering [article]

Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua
2021 arXiv   pre-print
Open-domain Question Answering (OpenQA) is an important task in Natural Language Processing (NLP), which aims to answer a question in the form of natural language based on large-scale unstructured documents  ...  We then introduce modern OpenQA architecture named "Retriever-Reader" and analyze the various systems that follow this architecture as well as the specific techniques adopted in each of the components.  ...  Recently, in [159] the QuAC dataset is extended to a new OR-QuAC dataset by adapting to an open-retrieval setting, and an open-retrieval conversational question answering system (OpenConvQA) is developed  ... 
arXiv:2101.00774v3 fatcat:6evkg5cikjdp5fsi3ou3iqqkyq
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