Computer Science – Computation and Language
Scientific paper
2011-06-22
Journal Of Artificial Intelligence Research, Volume 18, pages 1-44, 2003
Computer Science
Computation and Language
Scientific paper
10.1613/jair.1063
This paper focuses on a system, WOLFIE (WOrd Learning From Interpreted Examples), that acquires a semantic lexicon from a corpus of sentences paired with semantic representations. The lexicon learned consists of phrases paired with meaning representations. WOLFIE is part of an integrated system that learns to transform sentences into representations such as logical database queries. Experimental results are presented demonstrating WOLFIE's ability to learn useful lexicons for a database interface in four different natural languages. The usefulness of the lexicons learned by WOLFIE are compared to those acquired by a similar system, with results favorable to WOLFIE. A second set of experiments demonstrates WOLFIE's ability to scale to larger and more difficult, albeit artificially generated, corpora. In natural language acquisition, it is difficult to gather the annotated data needed for supervised learning; however, unannotated data is fairly plentiful. Active learning methods attempt to select for annotation and training only the most informative examples, and therefore are potentially very useful in natural language applications. However, most results to date for active learning have only considered standard classification tasks. To reduce annotation effort while maintaining accuracy, we apply active learning to semantic lexicons. We show that active learning can significantly reduce the number of annotated examples required to achieve a given level of performance.
No associations
LandOfFree
Acquiring Word-Meaning Mappings for Natural Language Interfaces does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Acquiring Word-Meaning Mappings for Natural Language Interfaces, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Acquiring Word-Meaning Mappings for Natural Language Interfaces will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-469003