J. Cowie, Louise Guthrie, Y. Wilks, J. Pustejovsky
{"title":"CRL/NMSU and Brandeis MucBruce: MUC-4 test results and analysis","authors":"J. Cowie, Louise Guthrie, Y. Wilks, J. Pustejovsky","doi":"10.3115/1072064.1072080","DOIUrl":"https://doi.org/10.3115/1072064.1072080","url":null,"abstract":"The Computing Research Laboratory (New Mexico State University) and the Computer Science Department (Brandeis University) are collaborating on the development of a system (DIDEROT) to perform data extraction for the Tipster project. This system is still far from fully developed, but as many of the techniques being used are domain ---and in many cases language--- independent, we have assembled them in a preliminary manner to produce a prototype system (MucBruce), which handles the MUC-4 texts.","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124681569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hughes research laboratories Trainable Text Skimmer: MUC-4 test results and analysis","authors":"Stephanie E. August, C. Dolan","doi":"10.3115/1072064.1072076","DOIUrl":"https://doi.org/10.3115/1072064.1072076","url":null,"abstract":"Table 1 shows the official template-by-template score results for the Hughes Trainable Text Skimmer used for MUC-4 (TTS-MUC4) on TST3. TTS is a largely statistical system, using a set of Bayesian classifiers with the output of a shallow parser as features. (See the System Summary section of this volume for a detailed description of TTS-MUC4).","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125901322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Lytinen, Sayan Bhattacharyya, Robert R. Burridge, P. Wiemer-Hastings, C. Huyck, K. Lipinsky, Eric S. McDaniel, Karenann K. Terrell
{"title":"Description of the LINK System Used for MUC- 4","authors":"S. Lytinen, Sayan Bhattacharyya, Robert R. Burridge, P. Wiemer-Hastings, C. Huyck, K. Lipinsky, Eric S. McDaniel, Karenann K. Terrell","doi":"10.3115/1072064.1072106","DOIUrl":"https://doi.org/10.3115/1072064.1072106","url":null,"abstract":"The University of Michigan's natural language processing system, called LINK, is a unification-based system which we have developed over the last four years. Prior to MUC-4, LINK had been used to extract information from free-form texts in two narrow application domains. One application corpus contained terse descriptions of symptoms displayed by malfunctioning automobiles, and the repairs which fixed them. The other corpus described sequences of activities to be performed on an assembly line. In empirical testing in these two domains, LINK correctly processed 70% of previously unseen descriptions. A template was counted as correct only if all of the fillers in the template were filled correctly. In addition, LINK generated incomplete (but not incorrect) templates for another 15% of the descriptions.","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129126489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Aberdeen, J. Burger, D. Connolly, Susan Roberts, M. Vilain
{"title":"MITRE-Bedford: description of the ALEMBIC system as used for MUC-4","authors":"J. Aberdeen, J. Burger, D. Connolly, Susan Roberts, M. Vilain","doi":"10.3115/1072064.1072097","DOIUrl":"https://doi.org/10.3115/1072064.1072097","url":null,"abstract":"The ALEMBIC text understanding system fielded at MUC-4 by MITRE-Bedford is primarily based on natural language techniques. ALEMBIC is a research prototype that is intended to explore several major areas of investigation:• Error recovery, involving primarily issues of semi-parsing and recovery of plausible attachments.• Robustness, involving primarily issues of uncertain reasoning and tractable inference.• Self-extensibility, focusing primarily on machine learning of natural language and user-configurable semantics.• System integration, through SGML (the Standard Generalized Markup Language), both at the level of meaning analysis and at the overall application level.","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114479858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hughes Research Laboratories: description of the Trainable Text Skimmer used for MUC-4","authors":"Stephanie E. August, C. Dolan","doi":"10.3115/1072064.1072094","DOIUrl":"https://doi.org/10.3115/1072064.1072094","url":null,"abstract":"The objective of the Hughes Trainable Text Skimmer (TTS) Project is to create text skimming software that: (1) can be easily re-configured for new applications, (2) improves its performance with use, and (3) is fast enough to process several megabytes of text per day. The TTS-MUC4 system is our second full-scale prototype. It is an adaptation of the TTS-MUC3 system [1] [2], which constituted our first-full scale text skimming prototype.","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"320 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123770458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Jacobs, George B. Krupka, L. Rau, Todd Kaufmann, M. Mauldin
{"title":"GE-CMU: description of the TIPSTER/SHOGUN system as used for MUC-4","authors":"P. Jacobs, George B. Krupka, L. Rau, Todd Kaufmann, M. Mauldin","doi":"10.3115/1072064.1072093","DOIUrl":"https://doi.org/10.3115/1072064.1072093","url":null,"abstract":"The GE-CMU team is developing the TIPSTER/SHOGUN system under the government-sponsored TIPSTER program, which aims to advance coverage, accuracy, and portability in text interpretation. The system will soon be tested on Japanese and English news stories in two new domains. MUC-4 served as the first substantial test of the combined system. Because the SHOGUN system takes advantage of most of the components of the GE NLTOOLSET except for the parser, this paper supplements the NLTOOLSET system description by explaining the relationship between the two systems and comparing their performance on the examples from MUC-4.","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115374249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Lytinen, Sayan Bhattacharyya, Robert R. Burridge, P. Wiemer-Hastings, C. Huyck, K. Lipinsky, Eric S. McDaniel, Karenann K. Terrell
{"title":"The LINK system: MUC-4 test results and analysis","authors":"S. Lytinen, Sayan Bhattacharyya, Robert R. Burridge, P. Wiemer-Hastings, C. Huyck, K. Lipinsky, Eric S. McDaniel, Karenann K. Terrell","doi":"10.3115/1072064.1072088","DOIUrl":"https://doi.org/10.3115/1072064.1072088","url":null,"abstract":"The University of Michigan's natural language processing system, called LINK, was used in the Fourth Message Understanding System Evaluation (MUC-4). LINK's performance on MUC-4's two test corpora is summarized in figure 1.","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
George B. Krupka, P. Jacobs, M. Mauldin, Todd Kaufmann, I. Sider
{"title":"Tipster shogun system (joint GE-CMU): MUC-4 test results and analysis","authors":"George B. Krupka, P. Jacobs, M. Mauldin, Todd Kaufmann, I. Sider","doi":"10.3115/1072064.1072075","DOIUrl":"https://doi.org/10.3115/1072064.1072075","url":null,"abstract":"This paper reports on the joint GE-CMU Tipster SHOGUN customization effort for MUC-4, and analyzes the results of the TST3 and TST4 runs in comparison with the GE system.","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124255610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Paramax Systems Corporation: description of the Paramax system used for MUC-4","authors":"C. Weir, Barry Silk","doi":"10.3115/1072064.1072100","DOIUrl":"https://doi.org/10.3115/1072064.1072100","url":null,"abstract":"This paper describes the Paramax MUC-4 data extraction system, a system with an analysis component implemented in CLIPS that provides a level of text understanding that falls somewhere between what is possible with conventional information retrieval techniques and deep linguistic analysis.","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122854719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Paramax Systems Corporation: MUC-4 test results and analysis","authors":"C. Weir, Barry Silk","doi":"10.3115/1072064.1072082","DOIUrl":"https://doi.org/10.3115/1072064.1072082","url":null,"abstract":"The data extraction system submitted by Paramax for evaluation in MUC-4 is a new implementation written in CLIPS, a forward-chaining system developed and maintained by NASA's Johnson Space Center [1]. Using CLIPS as a forward-chaining engine is desirable because it runs on a wide range of machines (including Sun Sparc stations, Apple Mac IIs, and PCs), it is available at little or no cost from the government, it is fast, and it comes with good documentation and support services.","PeriodicalId":424990,"journal":{"name":"Message Understanding Conference","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126374478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}