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Weakly-Supervised Open-Retrieval Conversational Question Answering
[article]
2021
arXiv
pre-print
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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]
2020
pre-print
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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
2022
Transactions of the Association for Computational Linguistics
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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]
2021
arXiv
pre-print
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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]
2022
arXiv
pre-print
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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]
2022
arXiv
pre-print
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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]
2021
arXiv
pre-print
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2021 pre-print arXiv:2010.04898v2 fatcat:ibutwhzjazeqpf2yj7mimkooxuOther Versions
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]
2021
arXiv
pre-print
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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]
2020
arXiv
pre-print
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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
2020
Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval
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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]
2019
arXiv
pre-print
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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]
2022
arXiv
pre-print
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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)
2022
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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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]
2022
arXiv
pre-print
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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]
2021
arXiv
pre-print
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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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