Name
Abstract | ||
|---|---|---|
In this paper we present an alignment experiment between patterns of verb use discovered by Corpus Pattern Analysis (CPA; Hanks 2004, 2008, 2013) and verb senses in OntoNotes (ON; Hovy et al. 2006, Weischedel et al. 2011). We present a probabilistic approach for mapping one resource into the other. Firstly we introduce a basic model, based on conditional probabilities, which determines for any given sentence the best CPA pattern match. On the basis of this model, we propose a joint source channel model (JSCM) that computes the probability of compatibility of semantic types between a verb phrase and a pattern, irrespective of whether the verb phrase is a norm or an exploitation. We evaluate the accuracy of the proposed mapping using cluster similarity metrics based on entropy. |
Year | Venue | Keywords |
|---|---|---|
2014 | LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | CPA,PDEV,OntoNotes,CCR,JSCM |
Field | DocType | Citations |
Verb phrase,Verb,Channel models,Conditional probability,Computer science,Pattern analysis,Speech recognition,Artificial intelligence,Natural language processing,Probabilistic logic,Pattern matching,Sentence | Conference | 2 |
PageRank | References | Authors |
0.40 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Octavian Popescu | 1 | 78 | 18.05 |
| Martha Stone Palmer | 2 | 5566 | 511.07 |
| Patrick Hanks | 3 | 1544 | 600.31 |