In this paper we are going to detail an unsupervised, graph-based approach for word sense discrimination on tweets. We deal with this problem by constructing a word graph of co-occurrences. By defining a distance on this graph, we obtain a word metric space, on which we can apply an aggregative algorithm for word clustering. As a result, we will get word clusters representing contexts that discriminate the possible senses of a term. We present some experimental results both on a data set consisting of tweets we collected and on the data set of task 14 at SemEval-2010.

Cecchini, F., Fersini, E., Messina, V. (2015). Word sense discrimination on tweets: A graph-based approach. In IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Lisbon; Portugal; 12-14 November 2015 (pp.138-146). SciTePress [10.5220/0005640501380146].

Word sense discrimination on tweets: A graph-based approach

CECCHINI, FLAVIO MASSIMILIANO
Primo
;
FERSINI, ELISABETTA
Secondo
;
MESSINA, VINCENZINA
Ultimo
2015

Abstract

In this paper we are going to detail an unsupervised, graph-based approach for word sense discrimination on tweets. We deal with this problem by constructing a word graph of co-occurrences. By defining a distance on this graph, we obtain a word metric space, on which we can apply an aggregative algorithm for word clustering. As a result, we will get word clusters representing contexts that discriminate the possible senses of a term. We present some experimental results both on a data set consisting of tweets we collected and on the data set of task 14 at SemEval-2010.
No
slide + paper
Graphs; Twitter; Word sense discrimination;
Word Sense Discrimination, unsupervised methods, graph-based methods; Twitter
English
7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015
9789897581588
Cecchini, F., Fersini, E., Messina, V. (2015). Word sense discrimination on tweets: A graph-based approach. In IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Lisbon; Portugal; 12-14 November 2015 (pp.138-146). SciTePress [10.5220/0005640501380146].
Cecchini, F; Fersini, E; Messina, V
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/132144
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