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Skip Act Vectors: Integrating Dialogue Context into Sentence Embeddings Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Learning Between the Lines: Interactive Learning Modules Within Corpus Design

Authors : Maria Di Maro, Antonio Origlia, Francesco Cutugno

Published in: Increasing Naturalness and Flexibility in Spoken Dialogue Interaction

Publisher: Springer Singapore

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Abstract

The present paper reports on the advantages of learning inferences and understanding strategies from the interactive structure of a corpus. First of all, we introduce the SUGAR corpus for the cooking domain, describing its peculiar collection and annotation procedures. After this first overview, we show how information included within the corpus can be used to enhance the action interpretation in dialogue systems. This can be the case of linguistic elements or related lexical units which can be acquired from a linked database or from rephrasing strategies within the corpus itself. In all the AI-based approaches depending on a training process using large and representative corpora, the probability to correctly predict the creativity a speaker can perform in using language is lower than expected. Trying to capture most of the possible words and expressions a speaker could use is extremely necessary, but even an empirical, finite collection of cases could not be enough. For this reason, the use of our corpus, possibly in combination with online training, appears as an appealing solution.

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Footnotes
4
The videos were selected from the Giallo Zafferano website: https://​www.​giallozafferano.​it/​.
 
5
The quantity always precedes the noun it is referred to. Therefore, it can also occur before the complement.
 
6
The hypernym ingrediente (En. ingredients) is chosen to retrieve all the appropriate hyponyms and synonyms which are semantically related to the argument uttered in the example.
 
7
As MultiWordNet-Extended is a graph database implemented in Neo4J [17], we are here referring to Cypher queries.
 
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Metadata
Title
Learning Between the Lines: Interactive Learning Modules Within Corpus Design
Authors
Maria Di Maro
Antonio Origlia
Francesco Cutugno
Copyright Year
2021
Publisher
Springer Singapore
Book
Increasing Naturalness and Flexibility in Spoken Dialogue Interaction

Print ISBN: 978-981-15-9322-2

Electronic ISBN: 978-981-15-9323-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-9323-9_28