Name
Title | ||
|---|---|---|
Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora |
Abstract | ||
|---|---|---|
In this paper, we reported experiments of unsupervised automatic acquisition of Italian and English verb subcategorization frames (SCFs) from general and domain corpora. The proposed technique operates on syntactically shallow-parsed corpora on the basis of a limited number of search heuristics not relying on any previous lexico-syntactic knowledge about SCFs. Although preliminary, reported results are in line with state-of-the-art lexical acquisition systems. The issue of whether verbs sharing similar SCFs distributions happen to share similar semantic properties as well was also explored by clustering verbs that share frames with the same distribution using the Minimum Description Length Principle (MDL). First experiments in this direction were carried out on Italian verbs with encouraging results. |
Year | Venue | Field |
|---|---|---|
2008 | SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008 | Verb,Subcategorization,Computer science,Minimum description length,Semantic property,Speech recognition,Heuristics,Natural language processing,Artificial intelligence,Parsing,Cluster analysis,Lexical acquisition |
DocType | Citations | PageRank |
Conference | 7 | 0.47 |
References | Authors | |
15 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Lenci | 1 | 633 | 61.92 |
| Barbara McGillivray | 2 | 7 | 6.22 |
| Simonetta Montemagni | 3 | 255 | 33.40 |
| Vito Pirrelli | 4 | 118 | 22.64 |