| Cavazza, M. and Zweigenbaum, P. 1992. Extracting Implicit Information from Free Text Technical Reports. |
....algorithms and data structures are used. 5. Comparison to Other Natural Language Processing Work There is a wealth of material representing years of work in automatic indexing, abstraction, and thesaurus generation, all under the rubric of document processing and information retrieval (Rau, 1989; Cavazza, 1992; Damerau, 1993; Salton, 1986; Salton, 1989; Frakes, 1992; Baeza Yates, 1992; Srinivasan, 1992; Fox, 1992) It is interesting to compare our approach, of this paper, to that of this older work. Among this older work, the closest to ours in terms of goals is automatic abstraction, but, all of it ....
Cavazza, M. and Zweigenbaum, P. 1992. Extracting Implicit Information from Free Text Technical Reports.
.... evaluation study in Section 4, at least amounts to 8 , considering the difference between LA (plain terminological reasoning) and LA CB values (terminological metareasoning based on the qualification calculus) As a long term goal we also subscribe to the perspectives underlying the work of [ZARR88, RAU89, CAST91, ZWEI91, CIRA91] whose research is directed at the automatic generation of text knowledge bases from real world texts. Unlike IE tasks, these studies are not limited to an a priori fixed set of templates that the analytic machinery concentrates on, though, usually (with the exception of [RAU89] no learning ....
P. Zweigenbaum and M. Cavazza. Extracting implicit information from free text technical reports. In RIAO'91 - Proc. 3rd Conf. on Intelligent Text and Image Handling, pages 695-- 706, 1991.
.... 4, at least amounts to 8 , considering the difference between LA (plain terminological reasoning) and LA CB values (terminological metareasoning based on the qualification calculus) As a long term goal we also subscribe to the perspectives underlying the work of [25] 18] 4] and [26] whose research is directed at the automatic generation of text knowledge bases from real world texts. Unlike IE tasks, these studies are not limited to an a priori fixed set of templates that the analytic machinery concentrates on, though, usually (with the exception of [18] no learning steps ....
P. Zweigenbaum and M. Cavazza. Extracting implicit information from free text technical reports. In RIAO'91 - Proc. 3rd Conf. on Intelligent Text and Image Handling, pages 695--706, 1991.
.... about which are reported elsewhere (Agarwal, 1995; Agarwal and Boggess, 1992; Boggess, Agarwal, and Davis, 1991; Boggess, Hodges, and Cordova, 1995) Unlike other efforts in the natural language processing and knowledge extraction fields (Liddy et al. 1991; Rinaldo, 1989; Virkar and Roach, 1998; Zweigenbaum and Cavazza, 1991), AIMS is not tailored for a particular domain or a particular text. Even though AIMS currently is working with the physical chemistry domain, no domain specific knowledge is hard coded into the system. In fact, AIMS has moved from the domain of veterinary medicine to the domain of physical ....
....code other than performance improvements which were already planned. AIMS does not place restrictions on the structure of the input text, unlike some (Liddy et al. 1991; Castell and Verdejo, 1991) nor does it require extensive prior domain knowledge, unlike others (Castell and Verdejo, 1991; Zweigenbaum and Cavazza, 1991; Virkar and Roach, 1988) In addition, AIMS does not require extensive human intervention while processing the text, unlike the system reported by Guha and Lenat (Guha and Lenat, 1990) and we are processing full text, not just isolated messages as in some systems (Liddy et al. 1991; Zweigenbaum ....
[Article contains additional citation context not shown here]
P. Zweigenbaum, and M. Cavazza. 1991. Extracting implicit information from free text technical reports. In Proceedings of RIAO 91, 2:695-705.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC