Paper: Detecting Experiences from Weblogs

ACL ID P10-1148
Title Detecting Experiences from Weblogs
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

Weblogs are a source of human activity know- ledge comprising valuable information such as facts, opinions and personal experiences. In this paper, we propose a method for mining personal experiences from a large set of web- logs. We define experience as knowledge em- bedded in a collection of activities or events which an individual or group has actually un- dergone. Based on an observation that expe- rience-revealing sentences have a certain lin- guistic style, we formulate the problem of de- tecting experience as a classification task us- ing various features including tense, mood, as- pect, modality, experiencer, and verb classes. We also present an activity verb lexicon con- struction method based on theories of lexical semantics. Our results demonstrate that the ac- tivity ver...