Summary of the paper
| Title | Annotating “tense” in a Tense-less Language |
|---|---|
| Authors | Nianwen Xue, Hua Zhong and Kai-Yun Chen |
| Abstract | In 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. |
| Language | Single language |
| Topics | Corpus (creation, annotation, etc.), Morphology, Machine Translation, SpeechToSpeech Translation |
Full paper |
Annotating “tense” in a Tense-less Language |
Slides |
Annotating “tense” in a Tense-less Language |
| Bibtex | @InProceedings{XUE08.877, author = {Nianwen Xue, Hua Zhong and Kai-Yun Chen}, title = {Annotating “tense” in a Tense-less Language}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |