Open-domain information extraction via automatic semantic labeling (2003)
by
Alessandro Moschitti
| Venue: | In Proceedings of the 14th Florida AI Conference |
| Citations: | 8 - 0 self |
BibTeX
@INPROCEEDINGS{Moschitti03open-domaininformation,
author = {Alessandro Moschitti},
title = {Open-domain information extraction via automatic semantic labeling},
booktitle = {In Proceedings of the 14th Florida AI Conference},
year = {2003},
pages = {397--401}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
This paper presents a semantic labeling technique based on information encoded in FrameNet. Sentences labeled for frames relevant to any new Information Extraction domain enable the automatic acquisition of extraction rules for the new domain. The experimental results show that both the semantic labeling and the extraction rules enabled by the labels are generated automatically with a high precision.
Citations
| 6696 | The Nature of Statistical Learning Theory - Vapnik - 1995 |
| 276 | Using lexical chains for text summarization - Barzilay, Elhadad - 1997 |
| 236 | Learning dictionaries for information extraction by multi-level bootstrapping - Riloff, Jones - 1999 |
| 207 | Bow: A toolkit for statistical language modeling, text retrieval, classication and clustering. http://www.cs.cmu.edu/~mccallum/bow - McCallum - 1996 |
| 107 | Frame Semantics - Fillmore - 1982 |
| 24 | The framenet tagset for frame-semantic and syntactic coding of predicate-argument structure - Johnson, Fillmore - 2000 |
| 13 | Automatic labeling of semantic roles. Computational Linguistics - Gildea, Jurafsky - 2002 |
| 10 | Acquisition of Linguistic Patterns for Knowledge-based Information Extraction LREC - Harabagiu, Maiorano - 2000 |
