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Beschreibung
Multi-hop Question Answering (MHQA) is the task of answering natural language questions that involve extracting and combining multiple pieces of information and doing multiple steps of reasoning. The ability to answer multi-hop questions and perform multi-step reasoning can significantly improve the utility of NLP systems. But the notion of 'multiple hops' is somewhat abstract which results in a large variety of tasks that require multi-hop reasoning. This leads to different datasets and models that differ significantly from each other and makes the field challenging to generalize and survey. In this monograph, the authors provide a general and formal definition of the MHQA task, and organize and summarize existing MHQA frameworks. They also outline some best practices for building MHQA datasets.
This monograph provides a systematic and thorough introduction to Multi-Hop Question Answering that is becoming increasingly important in practical AI systems.
Multi-hop Question Answering (MHQA) is the task of answering natural language questions that involve extracting and combining multiple pieces of information and doing multiple steps of reasoning. The ability to answer multi-hop questions and perform multi-step reasoning can significantly improve the utility of NLP systems. But the notion of 'multiple hops' is somewhat abstract which results in a large variety of tasks that require multi-hop reasoning. This leads to different datasets and models that differ significantly from each other and makes the field challenging to generalize and survey. In this monograph, the authors provide a general and formal definition of the MHQA task, and organize and summarize existing MHQA frameworks. They also outline some best practices for building MHQA datasets.
This monograph provides a systematic and thorough introduction to Multi-Hop Question Answering that is becoming increasingly important in practical AI systems.
Details
Erscheinungsjahr: 2024
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781638283744
ISBN-10: 1638283745
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Mavi, Vaibhav
Jangra, Anubhav
Jatowt, Adam
Hersteller: Now Publishers Inc
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 234 x 156 x 9 mm
Von/Mit: Vaibhav Mavi (u. a.)
Erscheinungsdatum: 13.06.2024
Gewicht: 0,234 kg
Artikel-ID: 129550333

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