Annotating “tense” in a Tense-less Language
10082Authors
nan
Abstract
AbstractIn the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a tense annotation task for Chinese - a language that does not have grammatical tense - that is designed to infer the temporal location of a situation in relation to the temporal deixis, the moment of speech. If successful, this would be a highly rewarding endeavor as it has application in many natural language systems. Our preliminary experiments show that while this is a very challenging annotation task for which high annotation consistency is very difficult but not impossible to achieve. We show that guidelines that provide a conceptually intuitive framework will be crucial to the success of this annotation effort.
Keywords
Full Content
nan
Labeled Text
AbstractIn the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a tense annotation task for Chinese - a language that does not have grammatical tense - that is designed to infer the temporal location of a situation in relation to the temporal deixis, the moment of speech. If successful, this would be a highly rewarding endeavor as it has application in many natural language systems. Our preliminary experiments show that while this is a very challenging annotation task for which high annotation consistency is very difficult but not impossible to achieve. We show that guidelines that provide a conceptually intuitive framework will be crucial to the success of this annotation effort.
Publication Details
- Paper ID:
- 10082
- Year:
- 2008
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan