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.
Citazione: | 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. |
Tipo: | slide + paper |
Carattere della pubblicazione: | Scientifica |
Presenza di un coautore afferente ad Istituzioni straniere: | No |
Titolo: | Word sense discrimination on tweets: A graph-based approach |
Autori: | Cecchini, F; Fersini, E; Messina, V |
Autori: | CECCHINI, FLAVIO MASSIMILIANO (Primo) FERSINI, ELISABETTA (Secondo) MESSINA, VINCENZINA (Ultimo) |
Data di pubblicazione: | 2015 |
Lingua: | English |
Nome del convegno: | 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015 |
ISBN: | 9789897581588 |
Appare nelle tipologie: | 02 - Intervento a convegno |