{"title":"A New Framework for Textual Information Mining over Parse Trees","authors":"Hamid Mousavi, Deirdre Kerr, Markus R Iseli","doi":"10.1109/ICSC.2011.19","DOIUrl":"https://doi.org/10.1109/ICSC.2011.19","url":null,"abstract":"This paper introduces a new text mining framework using a tree-based Linguistic Query Language, called LQL. The framework generates more than one parse tree for each sentence using a probabilistic parser, and annotates each node of these parse trees with textit{main-parts} information which is set of key terms from the node's branch based on the branch's linguistic structure. Using main-parts-annotated parse trees, the system can efficiently answer individual queries as well as mine the text for a given set of queries. The framework can also support grammatical ambiguity through probabilistic rules and linguistic exceptions.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116556377","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}
Shane Steinert-Threlkeld, S. Ardekani, J. Mejino, L. Detwiler, J. Brinkley, M. Halle, R. Kikinis, R. Winslow, M. Miller, J. Ratnanather
{"title":"Ontological Labels for Automated Location of Left Ventricular Remodeling","authors":"Shane Steinert-Threlkeld, S. Ardekani, J. Mejino, L. Detwiler, J. Brinkley, M. Halle, R. Kikinis, R. Winslow, M. Miller, J. Ratnanather","doi":"10.1109/ICSC.2011.99","DOIUrl":"https://doi.org/10.1109/ICSC.2011.99","url":null,"abstract":"Shane Steinert-Threlkeld∗, Siamak Ardekani∗, Jose L.V. Mejino‡, Landon T. Detwiler‡, James F. Brinkley‡, Michael Halle¶, Ron Kikinis¶, Raimond L. Winslow†, Michael I. Miller∗, J. Tilak Ratnanather∗ ∗Center for Imaging Science, Johns Hopkins University, Baltimore, MD †Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD ‡Structural Informatics Group, University of Washington, Seattle, WA §Department of Biological Structure, University of Washington, Seattle, WA ¶Surgical Planning Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115515343","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":"iBLEU: Interactively Debugging and Scoring Statistical Machine Translation Systems","authors":"Nitin Madnani","doi":"10.1109/ICSC.2011.36","DOIUrl":"https://doi.org/10.1109/ICSC.2011.36","url":null,"abstract":"Machine Translation (MT) systems are evaluated and debugged using the BLEU automated metric. However, the current community implementation of BLEU is not ideal for MT system developers and researchers since it only produces textual information. I present a novel tool called iBLEU that organizes BLEU scoring information in a visual and easy-to-understand manner, making it easier for MT system developers & researchers to quickly locate documents and sentences on which their system performs poorly. It also allows comparing translations from two different MT systems. Furthermore, one can also choose to compare to the publicly available MT systems, e.g., Google Translate and Bing Translator, with a single click. It can run on all major platforms and requires no setup whatsoever.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129064663","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}