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2022 | OriginalPaper | Buchkapitel

An Entity-Oriented Approach for Answering Topical Information Needs

verfasst von : Shubham Chatterjee

Erschienen in: Advances in Information Retrieval

Verlag: Springer International Publishing

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Abstract

In this dissertation, we adopt an entity-oriented approach to identify relevant materials for answering a topical keyword query such as “Cholera”. To this end, we study the interplay between text and entities by addressing three related prediction problems: (1) Identify knowledge base entities that are relevant for the query, (2) Understand an entity’s meaning in the context of the query, and (3) Identify text passages that elaborate the connection between the query and an entity. Through this dissertation, we aim to study some overarching questions in entity-oriented research such as the importance of query-specific entity descriptions, and the importance of entity salience and context-dependent entity similarity for modeling the query-specific context of an entity.

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Vorheriges Kapitel Understanding and Learning from User Behavior for Recommendation in Multi-channel Retail

Nächstes Kapitel Cognitive Information Retrieval

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Available from the aspect catalog from Ramsdell et al.

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Titel: An Entity-Oriented Approach for Answering Topical Information Needs
verfasst von: Shubham Chatterjee
Verlag: Springer International Publishing
Buch: Advances in Information Retrieval
Print ISBN: 978-3-030-99738-0

Electronic ISBN: 978-3-030-99739-7

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-99739-7_57

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