| A.Bagga, Analyzing the complexity of a domain with respect to an information extraction task,Proceedings of MUC-7, 1998 |
....If every sentence in the texts and every piece of information in those sentences is relevant, it becomes very difficult for information extraction. Furthermore, within a relevant sentence, how many facts of interest are presented and how they are expressed also determines the complexity [5]. Moreover, the complexity is also determined by what language is being processed, because some languages require word segmentation and morphological processing that in other languages can be ignored or handled with trivial methods. If a domain relies on highly technical terminologies and ....
A. Bagga and A. Biermann. Analyzing the complexity of a domain with respect to an information extraction task. Proceedings of The Tenth International Conference on Research on Computational Linguistics (ROCLING X), 1997.
....(information) into categories or levels; where each level signifies a different degree of difficulty of extracting the fact from a piece of text containing it. I have then used this to define a measure, the Domain Number which can be used to classify different domains with respect to IE tasks [Bagga 1997c] I have then used this classification mechanism to analyze the performance of various message understanding systems [Bagga 1997d] Currently, I am working on the University of Pennsylvania s system which will be submitted to the Seventh Message Understanding Conference (MUC 7) 1 The ....
Bagga, Amit, and Alan W. Biermann. Analyzing the Complexity of a Domain With Respect to an Information Extraction Task, In Proceedings of The Tenth International Conference on Research on Computational Linguistics (ROCLING X), pp. 175-94, August 1997.
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Amit Bagga and Alan W. Biermann. 1997. Analyzing the Complexity of a Domain With Respect To An Information Extraction Task. In Tenth International Conference on Research on Computational Linguistics (ROCLING X), pages 175--194, August.
....three MUC systems (BBN, NYU, and SRI) based on their ability to extract a set of standard facts (at different levels) from two different MUC domains. This analysis is then extended to analyze the role of coreferencing in the performance of message understanding systems. Introduction Earlier, in (Bagga 1997), we had described a method of classifying facts (information) into categories or levels; where each level signifies a different degree of difficulty of extracting the fact from a piece of text containing it. We then used this method to evaluate three different Message Understanding Conference ....
....based on their ability to extract a set of standard facts (at different levels) from two different MUC domains. The first part of the paper gives the definition of the level of a fact followed by a few observations and examples. Details about the justification of the methodology can be found in (Bagga 1997). The second part of the paper evaluates the performances of the three systems on the MUC 4 and the MUC 6 domains. This analysis is then extended to evaluate the impact of coreferencing on the three systems. Definitions Semantic Network: A semantic network consists of a collection of nodes ....
Bagga, Amit, and Alan W. Biermann. 1997. Analyzing the Complexity of a Domain With Respect To An Information Extraction Task, Submitted to the Fifth Workshop on Very Large Corpora, (WVLC-5), 1997.
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A.Bagga, Analyzing the complexity of a domain with respect to an information extraction task,Proceedings of MUC-7, 1998
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Alan W. Biermann and Amit Bagga. Analyzing the complexity of a domain with respect to an information extraction task. In Fifth Workshop on Very Large Corpora, (WVLC-5), 1997.
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