Information Extraction (Questionnaire 2)

 As Jim Cowie and Yorick Wilks say, this name (Information Extraction) is given to a process that discriminatively structures and also combines data found in only one, or more texts. The ending outcome of the process of extraction changes; nevertheless, it can be transformed in order to populate some database type. Information analyst who have worked long run on particular assignment have already carried out information extraction manually with the main of database creation.

 The importance of Information Extraction is determined by the huge amount of information available in a badly built form; internet is a good example of this fact. Those unstructured information can be made more accessible by transforming into relational form or also by marking-up with XML tags. To transform unstructured data into something that can be reasoned with, is required Information Extraction.

Topics’ list (Questionnaire 2)

Those are the topics that in my opinion, can be the most interesting ones:

1. Machine Translation
2. Information Retrieval
3. Automatic Summariation
4. Information Extraction
5. Word-Sense Disambiguation
6. Annotation Science
7. Language Generation and Text Planning
8. Multimodal Representations and Processing
9. Discourse and Pragmatics
10. Phonology/Morphology, POS Tagging, Word Segmentation

References:

• Association for Computational Linguistics 2009. (2008-2009). In ACL-IJCNLP 2009. Retrieved 17:54, March 24, 2009, from http://www.acl-ijcnlp-2009.org/index.html
• Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics 2007. (2007, January 18). In NAACL-HLT 2007. Retrieved 18:04, March 24, 2009, from http://www.cs.rochester.edu/meetings/hlt-naacl07/
• Association for Computational Linguistics 2008. (2007). In ACL-08: HLT. Retrieved 18:13, March 24, 2009, from http://www.ling.ohio-state.edu/acl08/index.html
• Human Language Technologies (HLT). In Language Technology World. Retrieved 18:21, March 24, 2009, from http://www.lt-world.org/

YORICK WILKS & MARTIN KAY (Questionnaire 1)

 In this article I’m going to talk about some relevant researchers in the area of Human Language Technologies: Yorick Wilks and Martin Kay. Even so, we should have in mind that apart from those two, there are also other significant researches. For example: Hans Uszkoreit, Fabian M. Suchanek and Silviu Cucerzan.

YORICK WILKS
Yorick Wilks works as a Professor of Computer Science at Sheffield University. There, he directs the Institute for Language, Speech and Hearing. He has been teaching and researching also at Stanford, Edinburgh, Geneva, Essex and New Mexico State Univesities. So he has worked hardly and traveled a lot. It’s important to mention that among other participations, he’s a member of the European and American Societies for Artificial Intelligence; so it’s clear that apart from having interest in the computer processing of language, knowledge and belief, he also has concern over artificial intelligence. At the OII, known as Oxford Internet Institute, he will be going after a project that consist on the possibility of machines having recognizable personalities.

RESEARCH CENTERS FOR HUMAN LANGUAGE TECHNOLOGIES IN EUROPE (Questionnaire 1)

Talking about European research centers for human language technologies, I’m going to mention the most relevant ones, which are the following: The Edinburgh Language Technology Group, the German Research Center for Artificial Intelligence and the National Centre for Language Technology in Ireland.

THE EDINBURGH LANGUAGE TECHNOLOGY GROUP
This research and development group has been working since 1990s in the domain of natural language engineering. The Edinburgh Language Technology Group is nowadays founded in the Institute for Communicating and Collaborative Systems of the Division of Informatics, University of Edinburgh. The LTG’s main focus is to build solutions that are practical, to solve problems in text processing. They have worked in all domains of great-volume text handling.