Paper Info
Title
A pretopological framework for the automatic construction of lexical-semantic structures from texts
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.
Year
DOI
Venue
2011
10.1145/2063576.2063990
CIKM
Keywords
Field
DocType
usual lexical knowledge basis,new structuring approach,multi-level evaluation strategy,evaluation problem,lexical-semantic structure,reference structure,evaluation strategy,automatic construction,pretopological framework,strong hypothesis,lexical structure,new approach,textual data usage,lexical semantics,structural similarity
Data mining,Evaluation strategy,Information retrieval,Computer science,Lexical knowledge,Lexicon,Natural language processing,Artificial intelligence,WordNet,Structuring,Semantics
Conference
Citations 
PageRank 
References 
2
0.43
7
Authors
4
Name
Order
Citations
PageRank
Guillaume Cleuziou112919.02
Davide Buscaldi243654.12
Vincent Levorato3104.80
Gaël Dias435441.95