Paper Info
Title
A New Twitter Verb Lexicon for Natural Language Processing.
Abstract
We describe in-progress work on the creation of a new lexical resource that contains a list of 486 verbs annotated with quantified temporal durations for the events that they describe. This resource is being compiled from more than 14 million tweets from the Twitter microblogging site. We are creating this lexicon of verbs and typical durations to address a gap in the available information that is represented in existing research. The data that is contained in this lexicon is unlike any existing resources, which have been traditionally comprised of literature excerpts, news stories, and full-length weblogs. This kind of knowledge about how long an event lasts is crucial for natural language processing and is especially useful when the temporal duration of an event is implied. We are using data from Twitter because Twitter is a rich resource since people are publicly posting real events and real durations of those events throughout the day.
Year
Venue
Keywords
2012
LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
NLP,natural language understanding,temporal reasoning
Field
DocType
Citations 
Verb,Computer science,Lexicon,Artificial intelligence,Generative lexicon,Natural language processing,Linguistics
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Jennifer Williams100.34
Graham Katz258941.68