Pubblicazione scientifica

Using big data to support automatic Word Sense Disambiguation

FILONE TECNOLOGICO	TEMA
produzione e cattura	attrezzi da pesca modalità di utilizzo delle reti/attrezzi da pesca sistemi ICT applicati alla pesca e ai sistemi di navigazione

RIASSUNTO

Word Sense Disambiguation (WSD) usually relies on data structures built upon the words to be disambiguated. This is a time-consuming process that requires a huge computational effort. In this paper, we propose an approach to automatically build a generic sense inventory (called iSC) to be used as a reference for disambiguation. The sense inventory is built extracting insight from Big Data exploiting a community detection algorithm. Since generate taking into account large corpora of data, the iSC is independent of the domain of application and of predefined target words.

DATA

Data di pubblicazione: 01/07/2014

AUTORI

GIOVANNI SIMONINI
FRANCESCO GUERRA

ENTE DI AFFERENZA

DIEF UNIV MODENA & REGGIO EMILIA MODENA ITALY

RIVISTA

2014 International Conference on High Performance Computing & Simulation (HPCS) (Page(s): 311-314)

IMPACT FACTOR

N.D.

indietro