Name
Abstract | ||
|---|---|---|
The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence. This is part of SemEval, the 4th edition of the semantic evaluation event previously known as SensEval. We define the task, describe the training/test data and their creation, list the participating systems and discuss their results. There were 14 teams who submitted 15 systems. |
Year | Venue | Keywords |
|---|---|---|
2007 | SemEval@ACL | semeval-2007 task,renewed interest,test data,automatic recognition,evaluation task,classifying semantic relation,different approach,deeper semantic analysis,nlp community,semantic evaluation event |
Field | DocType | Citations |
Semantic similarity,SemEval,Information retrieval,Computer science,Test data,Artificial intelligence,Natural language processing,Sentence,Semantic computing | Conference | 87 |
PageRank | References | Authors |
6.01 | 11 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roxana Girju | 1 | 1295 | 126.58 |
| Preslav I. Nakov | 2 | 1771 | 138.66 |
| Vivi Nastase | 3 | 523 | 41.30 |
| Stan Szpakowicz | 4 | 1200 | 114.50 |
| Peter D. Turney | 5 | 6084 | 534.36 |
| Deniz Yuret | 6 | 684 | 49.39 |