JOURNAL ARTICLE

A Non-Factoid Question-Answering Taxonomy

Valeriya Baranova-BolotovaVladislav BlinovFalk ScholerW. Bruce CroftMark Sanderson

Year: 2022 Journal:   Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval Pages: 1196-1207

Abstract

Non-factoid question answering (NFQA) is a challenging and under-researched task that requires constructing long-form answers, such as explanations or opinions, to open-ended non-factoid questions - NFQs. There is still little understanding of the categories of NFQs that people tend to ask, what form of answers they expect to see in return, and what the key research challenges of each category are.

Keywords:
Question answering Computer science Ask price Taxonomy (biology) Information retrieval Task (project management) Closed-ended question Key (lock) Natural language processing Artificial intelligence Linguistics

Metrics

28
Cited By
3.17
FWCI (Field Weighted Citation Impact)
28
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Expert finding and Q&A systems
Physical Sciences →  Computer Science →  Information Systems

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