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📄 http:^^www.cs.cornell.edu^info^people^cardie^cardie.html

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<html><head><TITLE>Claire Cardie</TITLE></head><body><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><a href="http://www.cs.cornell.edu/Info/People/cardie/cardie.gif"><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><imgsrc="http://www.cs.cornell.edu/Info/People/cardie/cardie-thumb.gif"></a><p><i>Claire Cardie, Assistant Professor.</i><p><DL><DT>4124 Upson Hall<DT>Phone: 607-255-9206<DT>Fax  : 607-255-4428<DT>Email: <!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><a href="mailto:cardie@cs.cornell.edu">cardie@cs.cornell.edu</a><P>Click on these to see:<UL><LI><b><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><A HREF="#1">RESEARCH INTERESTS</A></b><LI><b><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><A HREF="#2">COURSES THAT I TEACH</A></b><LI><b><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><A HREF="#3">SELECTED PUBLICATIONS</A></b></UL><P><P><UL><LI><b><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><A HREF="#4">NLP and ML Links</A></b><LI><b><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><A HREF="http://www.cs.cornell.edu/Info/People/cardie//Info/Department/Annual94/Faculty/Cardie.html">	My entry in the department annual report </A> </b> <LI><b> <!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><A HREF="http://eksl-www.cs.umass.edu/softball/players/cardie.html">Amalgams softball stats </a></b> <LI><b> <!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><A HREF="http://eksl-www.cs.umass.edu/~westy/cycling/finger-lakes-tour.html">Finger Lakes Tandem Tour with the Westys, 1995</a></b> </DL></I><hr> <H2><A NAME = "1">Research Interests</a></H2>Although my research spans a number of subfields within artificial intelligence,including machine learning, case-based reasoning, and cognitivemodeling, the focus of my research is in the area of <em>naturallanguage understanding</em> (NLP/NLU).  The NLP group at Cornell is primarily interested in investigating the use of machinelearning techniques as tools for guiding natural language system development and forexploring the mechanisms that underly language acquisition.  Our work focuses on tworelated areas: (1) the design of user-trained systems that can efficiently and reliablyextract the important information from a document, and (2) the machine learning of naturallanguage.  <ul><li><b><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><A HREF="http://www.cs.cornell.edu/Info/People/cardie/cstr/report-index.html">Information Extraction.</A></b><br>As part of Cornell's CSTR project, we are using information extraction techniques tosupport content-based browsing of technical texts.<p><li><b><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><A HREF="http://www.cs.cornell.edu/Info/People/cardie/mlnl/">The Kenmore Project.</A></b><br>The focus of the Kenmore project is on developing techniques to automate the knowledgeacquisition tasks that comprise the building of any NLP system. Very generally, Kenmoreacquires linguistic knowledge using a combination of symbolic machine learningtechniques and robust sentence analysis.  It has been used with corpora from tworeal-world domains to perform part-of-speech tagging, semantic feature tagging, andconcept activation and to find the antecedents of relative pronouns.  In current work,we are extending Kenmore to handle larger text corpora and additional disambiguationtasks.  In all of our work, we evaluate the language learningcomponents in the context of the larger NLP application in which it isembedded. The goal of the project is to determine the conditions under which machine learning techniques can be expected to offer a cost-effective approach to knowledgeacquisition for NLP systems.  </ul><hr><H2><A NAME = "2">Teaching</a></H2><ul><li><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><A HREF="http://www.cs.cornell.edu/Info/Courses/Spring-96/CS674/CS674.html">CS674 <i>Natural Language Understanding</i></A>, Spring 1996<li><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><A HREF="http://www.cs.cornell.edu/Info/Courses/Fall-96/CS472/cs472.html"><i>Foundations of Artificial Intelligence (CS472) and Practicum inArtificial Intelligence (CS473)</i></A>, Fall 1996<li><i>Seminar in Natural Language Understanding</i></ul><hr><H2><A NAME = "3">Selected Publications</a></H2><ul><p><li><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/rep-or-alg.ps">Automating Feature Set Selection for Case-Based Learning of Linguistic Knowledge</A>,C. Cardie. <em>Proceedings of the Conferenceon Empirical Methods in Natural Language Processing</em>, 113-126, University of Pennsylvania,1996.</ul><ul><p><li><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/book-chapter.ps">Embedded Machine Learning Systems for Natural Language Processing: AGeneral Framework</A>,C. Cardie. In Wermter, S. and Riloff, E.and Scheler, Gabriele (eds.),  <em>Connectionist, Statistical andSymbolic Approaches to Learning for Natural Language Processing</em>,Lecture Notes in Artificial Intelligence, 315-328, Springer,1996. Originally presented at the Workshop on New Approaches toLearning for Natural Language Processing, 14th International JointConference on Artificial Intelligence (IJCAI-95), 119-126,1995. AAAI Press. </ul><ul><p><li><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/introduction.ps">Chapter 1 (Introduction), Ph.D. Thesis</A>,C. Cardie. Domain-Specific Knowledge Acquisition for Conceptual Sentence Analysis,Ph.D. Thesis, University of Massachusetts, Amherst, MA,1994. <bf>Note that this file contains just the introductory chapter of the thesis.</bf></ul><ul><p><li><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/94-74.ps">Domain-Specific Knowledge Acquisition for ConceptualSentence Analysis</A>,C. Cardie. <em>Ph.D. Thesis, University of Massachusetts, Amherst, MA</em>,1994. Available as University of Massachusetts, CMPSCI Technical Report94-74. (178 pages)</ul><ul><p><li><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/aaai-93.ps">A Case-Based Approach to Knowledge Acquisition for Domain-Specific Sentence Analysis</A>,C. Cardie. <em>Proceedings of the Eleventh National Conference on Artificial  Intelligence</em>, 798-803, Washington, DC, 1993. AAAI Press /  MIT Press.</ul><ul><p><li><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/ml-93.ps">Using Decision Trees to Improve Case-Based Learning</A>,C. Cardie. <em>Proceedings of the Tenth International Conference on Machine  Learning</em>, 25-32, Amherst, MA, 1993. Morgan Kaufmann.</ul><ul><p><li><!WA20><!WA20><!WA20><!WA20><!WA20><!WA20><!WA20><!WA20><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/acl-92.ps">Corpus-Based Acquisition of Relative Pronoun Disambiguation Heuristics</A>,C. Cardie. <em>Proceedings of the 30th Annual Conference of the Association for  Computational Linguistics</em>, 216-223, Newark, DE, 1992. Association for  Computational Linguistics.</ul><ul><p><li><!WA21><!WA21><!WA21><!WA21><!WA21><!WA21><!WA21><!WA21><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/aaai-92.ps">Learning to Disambiguate Relative Pronouns</A>,C. Cardie.  <em>Proceedings of the Tenth National Conference on Artificial  Intelligence</em>, 38-43, San Jose, CA, 1992. AAAI Press / MIT Press.</ul> <ul><p><li><!WA22><!WA22><!WA22><!WA22><!WA22><!WA22><!WA22><!WA22><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/cogsci-92.ps">Using Cognitive Biases to Guide Feature Set Selection</A>,C. Cardie.  <em>Proceedings of the Fourteenth Annual Conference of the Cognitive  Science Society</em>, 743-748, Bloomington, IN, Lawrence ErlbaumAssociates, and Working Notes of the AAAI Workshop onConstraining Learning with Prior Knowledge, 11-18, San Jose, CA,1992.  </ul><ul><p><li><!WA23><!WA23><!WA23><!WA23><!WA23><!WA23><!WA23><!WA23><A HREF="http://www.cs.cornell.edu/Info/People/cardie/papers/aaai-91.ps">A Cognitively Plausible Approach to Understanding Complicated Syntax</A>,C. Cardie and W. Lehnert. <em>Proceedings of the Ninth National Conference on Artificial  Intelligence</em>, 117-124, Anaheim, CA, 1991. AAAI Press / MIT Press.</ul><ul><p><li> Analyzing Research Papers Using Citation Sentences,W. Lehnert, C. Cardie, and E. Riloff. <em>Proceedings of the Twelfth Annual Conference of the Cognitive  Science Society</em>, 511-518, Cambridge, MA, 1990. Lawrence ErlbaumAssociates. </ul><hr><hr><H2><A NAME = "4">NLP and Machine Learning Links</a></H2><ul><p><li><!WA24><!WA24><!WA24><!WA24><!WA24><!WA24><!WA24><!WA24><A HREF="http://xxx.lanl.gov/cmp-lg/">Computational LinguisticsE-print Archive</A> (database of recent CL papers)<br><li><!WA25><!WA25><!WA25><!WA25><!WA25><!WA25><!WA25><!WA25><AHREF="ttp://www.cs.rulimburg.nl/~antal/signll/signll-home.html">ACLSpecial Interest Group on Natural Language Learning</A><br><li><!WA26><!WA26><!WA26><!WA26><!WA26><!WA26><!WA26><!WA26><A HREF="http://www.ics.uci.edu/AI/ML/MLList.html">Machine Learning Digest</A><br><li><!WA27><!WA27><!WA27><!WA27><!WA27><!WA27><!WA27><!WA27><A HREF="http://www.ai.univie.ac.at/oefai/ml/ml-ressources.html">MachineLearning Resources</A><br>  <li><!WA28><!WA28><!WA28><!WA28><!WA28><!WA28><!WA28><!WA28><A HREF="http://www.aic.nrl.navy.mil/~aha/people.html">ResearchersMachine Learning</A> (links to the home pages of ML researchers)<br><li><!WA29><!WA29><!WA29><!WA29><!WA29><!WA29><!WA29><!WA29><a href="http://www.cs.cornell.edu/Info/People/cardie/penn-treebank.html">Penn Treebank II</a><br><li><!WA30><!WA30><!WA30><!WA30><!WA30><!WA30><!WA30><!WA30><a href="http://www.cs.cmu.edu/Web/Groups/AI/html/repository.html"> CMU'sAI Repository</a> contains has pointers to code for various NLP system components.<br></ul></body></html>

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