*Equipe HUman Language TECHnology(HULTECH)* team of GREYC - CNRS UMR 6072
Laboratory is happy to announce the first release of *TempoWordNet*, a lexical knowledge base to help the research in temporal domain.
In * TempoWordNet *, we aim to provide a better understanding of 'time' in language, which may benefit both NLP and IR temporal studies. It is based on WordNet 3.0 , where each synset of WordNet is automatically time-tagged with four dimensions:
*atemporal, past, present and future.* To obtain a copy of TempoWordNet , please visit the following link:
OR Contact
*mohammed.hasanuzzaman at unicaen.fr/hasanuzzaman.im at gmail.com <http://mohammed.hasanuzzaman@unicaen.fr/hasanuzzaman.im@gmail.com>*
Cheers !!!
Mohammed Hasanuzzaman, PhD Student, Normandie University, France -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 1209 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20140410/bf34f7a0/attachment.txt>