10/10/2012 - Mohamed Amine Bentaallah - On the use of WordNet for Multilingual Text Categorization

Title On the use of WordNet for Multilingual Text Categorization
Speaker Mohamed Amine Bentaallah
Room Omega-S208  Campus Nord UPC
Date Wed October 10, 2012
Time 12:00h

Actually, research paid an important attention for the treatment of multilingual data, Indeed, The availability of document collections in different languages implies the need to find information whatever language. The Multilingual Text Categorization (MTC) is a new area in Text Categorization in which we have to cope with two or more languages. In this talk, I will describe the process of MTC, I'll then turn to the use of WordNet for MTC (Presentation of implemented scenarios).

04/09/2012 - Ido Dagan - Natural Language Inference in Natural Language Terms

Títol Natural Language Inference in Natural Language Terms
Ponent Ido Dagan
Lloc sala d'actes de la FIB - Edifici B6 (confirmat)
Dia 4 Setembre 2012
Horari 12:00h - Presentació

Reasoning requires a framework for meaning representation, over which inferences would be applied. Traditionally, logic was perceived as the mathematical vehicle for inference, and a plethora of logic languages were invented as meaning representations. As for inference over textual expressions, the classic NLP approach followed the logic-based paradigm: first translate natural language into logic and then conduct logical inference. However, a more feasible alternative evolved in common practice: apply inferences directly over linguistic representations, such as parse trees and lexical co-reference chains, even though these were originally invented to capture language structure rather than as meaning representations for inference. In this talk I will describe recent learning-based approaches that perform broad textual inference over common linguistic representations, under the textual entailment paradigm. I will suggest that we should invest substantially in developing generic inference mechanisms over human-language representations, while possibly interfacing with "extra-linguistic" inferences where needed. Time permitting, a short demo of the open-source BIUTEE inference system will be presented.

Bio Ido Dagan holds B.Sc. (Summa Cum Laude) and Ph.D. degrees in Computer Science from the Technion, Israel. He conducted his Ph.D. research in collaboration with the IBM Haifa Scientific Center, where he was a research fellow in 1991. During 1992-1994 he was a Member of Technical Staff at AT&T Bell Laboratories. During 1994-1998 he has been at the Department of Computer Science of Bar Ilan University, to which he returned in 2003. During 1998-2003 he was co-founder and CTO of a text categorization startup company, FocusEngine, and VP of Technology at LingoMotors, a Cambridge Massachusetts company which acquired FocusEngine.
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