Abstract | ||
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In this paper we present ULISSE, an unsupervised linguistically--driven algorithm to select reliable parses from the output of a dependency parser. Different experiments were devised to show that the algorithm is robust enough to deal with the output of different parsers and with different languages, as well as to be used across different domains. In all cases, ULISSE appears to outperform the baseline algorithms. |
Year | Venue | Keywords |
---|---|---|
2011 | CoNLL | different language,unsupervised linguistically,reliable dependency parses,baseline algorithm,reliable parses,different domain,unsupervised algorithm,dependency parser,different experiment,different parsers,driven algorithm |
Field | DocType | Citations |
Computer science,Algorithm,Dependency grammar,Artificial intelligence,Natural language processing,Parsing,Machine learning | Conference | 6 |
PageRank | References | Authors |
0.51 | 21 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Felice Dell'Orletta | 1 | 207 | 34.46 |
Giulia Venturi | 2 | 132 | 21.20 |
Simonetta Montemagni | 3 | 255 | 33.40 |