Advances in Natural Language Processing: 4th International by Arturo Montejo Ráez, Luís Alfonso Ureña López (auth.), José

By Arturo Montejo Ráez, Luís Alfonso Ureña López (auth.), José Luis Vicedo, Patricio Martínez-Barco, Rafael Muńoz, Maximiliano Saiz Noeda (eds.)

This e-book constitutes the refereed complaints of the 4th overseas convention, EsTAL 2004, held in Alicante, Spain in October 2004.

The forty two revised complete papers offered have been rigorously reviewed and chosen from seventy two submissions. The papers handle present matters in computational linguistics and monolingual and multilingual clever language processing and purposes, specifically written language research and iteration; pragmatics, discourse, semantics, syntax, and morphology; lexical assets; be aware experience disambiguation; linguistic, mathematical, and morphology; lexical assets; observe experience disambiguation; linguistic, mathematical, and mental versions of language; wisdom acquisition and illustration; corpus-based and statistical language modeling; desktop translation and translation instruments; and computational lexicography; info retrieval; extraction and query answering; computerized summarization; rfile categorization; average language interfaces; and discussion structures and assessment of systems.

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Extra info for Advances in Natural Language Processing: 4th International Conference, EsTAL 2004, Alicante, Spain, October 20-22, 2004. Proceedings

Example text

To model the general situation that the determiner type and the number of a constituent with name C depend on its head word and on the head word of the constituent in which it is included, we provide the predicate: tr dn(C, Hew1, Hew2, Det, Num). (8) Example 12. In the expression himo o toosu (to thread a lace) the direct object is an indefinite singular noun phrase: tr dn(dob, himo/nou, toosu/ver, ind, sng). As before, this rule is only a shortcut instead of writing: tr acc(Hew2, [hew(Hew2), C([hew(Hew1)|X])], [hew(Hew2), C([hew(Hew1), def(Det), num(Num)|X])]).

Again, the removal of closed-class words seems to give better results, and there are two cases in which Word-Sense Disambiguation is useful. 4 Application on an On-line e-Learning System Ideally, we would like that a student could submit the answer to a question and receive his or her score automatically. This system is not intended to substitute a teacher, but might help students in their self-study. We have built an on-line system for open-ended questions called Atenea. com/ Automatic Assessment of Open Ended Questions 33 Fig.

Given that the best correlation was obtained just for unigrams, these are not that important. 3. Word-Sense Disambiguation. If we were able to identify the sense intended by both the teacher and the student, then the evaluation would be more accurate. We do not have any Word-Sense Disambiguation procedure available yet, so we have tried with the following baseline methods: – For English, we have used the SEMCOR corpus [13] to find the most popular word sense for each of the words in WordNet, which is the sense we always take.

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