Summary of the paper
| Title | An Associative Concept Dictionary for Verbs and its Application to Elliptical Word Estimation |
|---|---|
| Authors | Takehiro Teraoka, Jun Okamoto and Shun Ishizaki |
| Abstract | Natural language processing technology has developed remarkably, but it isstill difficult for computers to understand contextual meanings as humans do.The purpose of our work has been to construct an associative concept dictionaryfor Japanese verbs and make computers understand contextual meanings with ahigh degree of accuracy. We constructed an automatic system that can be used toestimate elliptical words. We present the result of comparing words that wereestimated both by our proposed system (VNACD) and three baseline systems (VACD,NACD, and CF). We then calculated the mean reciprocal rank (MRR), top Naccuracy (top 1, top 5, and top 10), and the mean average precision (MAP).Finally, we showed the effectiveness of our method for which both anassociative concept dictionary for verbs (Verb-ACD) and one for nouns(Noun-ACD) were used. From the results, we conclude that both the Verb-ACD andthe Noun-ACD play a key role in estimating elliptical words. |
| Language | Semantics |
| Topics | Corpus (creation, annotation, etc.), Ontologies, Semantics |
Full paper  |
An Associative Concept Dictionary for Verbs and its Application to Elliptical Word Estimation |
| Bibtex | @InProceedings{TERAOKA10.181, author = {Takehiro Teraoka, Jun Okamoto and Shun Ishizaki}, title = {An Associative Concept Dictionary for Verbs and its Application to Elliptical Word Estimation}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |