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A pretopological framework for the automatic construction of lexical-semantic structures from texts

Authors:

Guillaume Cleuziou,

Davide Buscaldi,

Vincent Levorato,

Gaël DiasAuthors Info & Claims

CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management

Pages 2453 - 2456

https://doi.org/10.1145/2063576.2063990

Published: 24 October 2011 Publication History

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Abstract

We present in this paper a new approach for the automatic generation of lexical structures from texts. This tedious task is based on the strong hypothesis that simple statistical observations on textual usages can provide pieces of semantics about the lexicon. Using such "naive" observations only, we propose a (pre)-topological framework to formalize and combine various hypothesis on textual data usages and then to derive a structure similar to usual lexical knowledge basis such as WordNet. In addition we also consider the evaluation problem for obtained lexical structures ; a multi-level evaluation strategy is proposed that measures the fitting between a given reference structure and automatically generated structures on different point of views : intrinsic/structural and application-based points of view. The evaluation strategy is then used to quantify the contribution of the new structuring approach with respect to the corresponding solution proposed by (Sanderson et al. 2000) on two case studies that differs on the domain and the size of the lexicon.

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Cited By

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Selmaoui-Folcher NTokotoko JGorohouna SRoi LLeschi CRis C(2022)Concept of Temporal Pretopology for the Analysis for Structural ChangesInternational Journal of Data Warehousing and Mining10.4018/IJDWM.29800418:2(1-17)Online publication date: 1-Apr-2022
https://doi.org/10.4018/IJDWM.298004
Caillaut GCleuziou G(2021)Multi-instance learning of pretopological spaces to model complex propagation phenomena: Application to lexical taxonomy learningArtificial Intelligence10.1016/j.artint.2021.103556(103556)Online publication date: Jul-2021
https://doi.org/10.1016/j.artint.2021.103556
Groza APopa O(2018)The impact of summarisation on textual entailment - a case study on global warming arguments2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)10.1109/ECAI.2018.8679022(1-6)Online publication date: Jun-2018
https://doi.org/10.1109/ECAI.2018.8679022
Show More Cited By

Index Terms

A pretopological framework for the automatic construction of lexical-semantic structures from texts
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
2. Theory of computation
  1. Logic

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Published In

CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management

October 2011

2712 pages

ISBN:9781450307178

DOI:10.1145/2063576

Editors:
Bettina Berendt,
Arjen de Vries,
Wenfei Fan,
Craig Macdonald
University of Glasgow, UK
,
Iadh Ounis
University of Glasgow, UK
,
Ian Ruthven
University of Strathclyde, UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 October 2011

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Selmaoui-Folcher NTokotoko JGorohouna SRoi LLeschi CRis C(2022)Concept of Temporal Pretopology for the Analysis for Structural ChangesInternational Journal of Data Warehousing and Mining10.4018/IJDWM.29800418:2(1-17)Online publication date: 1-Apr-2022
https://doi.org/10.4018/IJDWM.298004
Caillaut GCleuziou G(2021)Multi-instance learning of pretopological spaces to model complex propagation phenomena: Application to lexical taxonomy learningArtificial Intelligence10.1016/j.artint.2021.103556(103556)Online publication date: Jul-2021
https://doi.org/10.1016/j.artint.2021.103556
Groza APopa O(2018)The impact of summarisation on textual entailment - a case study on global warming arguments2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)10.1109/ECAI.2018.8679022(1-6)Online publication date: Jun-2018
https://doi.org/10.1109/ECAI.2018.8679022
Cleuziou GDias G(2015)Learning Pretopological Spaces for Lexical Taxonomy AcquisitionMachine Learning and Knowledge Discovery in Databases10.1007/978-3-319-23525-7_30(493-508)Online publication date: 29-Aug-2015
https://doi.org/10.1007/978-3-319-23525-7_30
Pais SDias GWegrzyn-Wolska KMahl RJouvelot P(2011)Textual Entailment by GeneralityProcedia - Social and Behavioral Sciences10.1016/j.sbspro.2011.10.60627(258-266)Online publication date: 2011
https://doi.org/10.1016/j.sbspro.2011.10.606

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Automatic semantic sequence extraction from unrestricted non-tagged texts

Integrating lexical-semantic knowledge to build a public lexical ontology for portuguese

Word sense disambiguation: a case study on the granularity of sense distinctions

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