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Artificial Intelligence for Customer Relationship Management

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Cover of 'Artificial Intelligence for Customer Relationship Management'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Volume 1 and Volume 2
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    Chapter 2 Distributional Semantics for CRM: Making Word2vec Models Robust by Structurizing Them
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    Chapter 3 Employing Abstract Meaning Representation to Lay the Last-Mile Toward Reading Comprehension
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    Chapter 4 Summarized Logical Forms for Controlled Question Answering
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    Chapter 5 Summarized Logical Forms Based on Abstract Meaning Representation and Discourse Trees
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    Chapter 6 Acquiring New Definitions of Entities
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    Chapter 7 Inferring Logical Clauses for Answering Complex Multi-hop Open Domain Questions
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    Chapter 8 Managing Customer Relations in an Explainable Way
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    Chapter 9 Recognizing Abstract Classes of Text Based on Discourse
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    Chapter 10 Conversational Explainability
Attention for Chapter 9: Recognizing Abstract Classes of Text Based on Discourse
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Chapter title
Recognizing Abstract Classes of Text Based on Discourse
Chapter number 9
Book title
Artificial Intelligence for Customer Relationship Management
Published by
Springer, Cham, December 2020
DOI 10.1007/978-3-030-52167-7_9
Book ISBNs
978-3-03-052166-0, 978-3-03-052167-7
Authors

Boris Galitsky, Galitsky, Boris

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