Output details
11 - Computer Science and Informatics
Robert Gordon University
Output title
Event Extraction for Reasoning with Text
Type
E - Conference contribution
Name of conference/published proceedings
Case-Based Reasoning Research and Development: Proceedings of the 20th International Conference, ICCBR 2012 (LNCS Volume 7466)
Volume number
7466
Issue number
-
First page of article
384
ISSN of proceedings
1611-3349
Year of publication
2012
URL
-
Number of additional authors
3
Additional information
Indexing unstructured text using the bag-of-words (BOW) approach is cheap and can be effective for retrieval, but does not extract meaning. If, instead, key events are identified, then a stronger basis for reuse is created.
The rule-based event extraction (RUBEE) system addresses this problem using rules based on parts of speech. The use of event polarity, identifying negated events, is a novel aspect of the system.
Although the method aims to improve reuse, evaluation on standard datasets shows improved retrieval performance can be obtained by augmenting BOW with event-based features.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
