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

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

Content Provider	ACM Digital Library
Author	Levorato, Vincent Buscaldi, Davide Dias, Gaël Cleuziou, Guillaume
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.
Starting Page	2453
Ending Page	2456
Page Count	4
File Format	PDF
ISBN	9781450307178
DOI	10.1145/2063576.2063990
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-10-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Lexical ontology Pretopology
Content Type	Text
Resource Type	Article

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