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<rss version="2.0"><!--status:success--><channel><link>http://www.cs.rochester.edu/~vandurme/</link><title>Van Durme Publication RSS Feed</title><description>Transformation of Dapp into RSS</description><webMaster>info@dapper.net</webMaster><pubDate>Sat, 04 Jul 2009 08:21:38 +0000</pubDate><item><description>Benjamin Van Durme and Ashwin Lall. Probabilistic Counting with Randomized Storage. Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09). Pasadena, CA. July 11 - 17, 2009. Earlier version available as TR 942, Department of Computer Science, University of Rochester, December 2008.</description><title>Probabilistic Counting with Randomized Storage.</title></item><item><description>Benjamin Van Durme, Austin Frank and T. Florian Jaeger. Resources for cross-linguistic psycholinguistic research: the web is good enough. International Cognitive Linguistics Conference 11 (ICLC-11). Berkeley, CA. July 28 - August 3, 2009. (Event canceled)</description><title>Resources for cross-linguistic psycholinguistic research: the web is good enough.</title></item><item><description>Ting Qian, Benjamin Van Durme and Lenhart K. Schubert. Building a Semantic Lexicon of English Nouns via Bootstrapping. NAACL '09, Student Research Workshop. Boulder, CO. June, 2009.</description><title>Building a Semantic Lexicon of English Nouns via Bootstrapping.</title></item><item><description>Benjamin Van Durme, Phillip Michalak and Lenhart K. Schubert. Deriving Generalized Knowledge from Corpora using WordNet Abstraction. EACL'09. Athens, Greece. March 30 - April 3, 2009. [PDF]</description><title>Deriving Generalized Knowledge from Corpora using WordNet Abstraction.</title></item><item><description>Benjamin Van Durme, Austin Frank and T. Florian Jaeger. Comparing Sources of Corpus Frequency Information. The 22nd Annual Meeting of the CUNY Conference on Human Sentence Processing (CUNY-09). Davis, CA. March 26 - 29, 2009.</description><title>Comparing Sources of Corpus Frequency Information.</title></item><item><description>Lenhart K. Schubert and Benjamin Van Durme. Open Extraction of General Knowledge through Compositional Semantics. NSF Symposium on Semantic Knowledge Discovery, Organization and Use. New York, New York. November 14-17, 2008. [PDF]</description><title>Open Extraction of General Knowledge through Compositional Semantics.</title></item><item><description>Benjamin Van Durme and Lenhart K. Schubert. Open Knowledge Extraction through Compositional Language Processing. Symposium on Semantics in Systems for Text Processing (STEP'08). Venice, Italy. September 22-24, 2008. [PDF]</description><title>Open Knowledge Extraction through Compositional Language Processing.</title></item><item><description>Benjamin Van Durme, Ting Qian and Lenhart K. Schubert. Class-Driven Attribute Extraction. COLING'08. Manchester, UK. August 18-22, 2008. [PDF]</description><title>Class-Driven Attribute Extraction.</title></item><item><description>Austin F. Frank, Celeste Kidd, Matthew Post, Benjamin Van Durme and T. Florian Jaeger. The Web as a Psycholinguistic Resource. Presented at the 5th International Workshop on Language Production. Annapolis, MD. July 28-30, 2008.</description><title>The Web as a Psycholinguistic Resource.</title></item><item><description>Benjamin Van Durme and Marius Pasca. Finding Cars, Goddesses and Enzymes: Parametrizable Acquisition of Labeled Instances for Open-Domain Information Extraction. Twenty-Third AAAI Conference on Artificial Intelligence. Chicago, Illinois, USA. July 13-17, 2008. [PDF]</description><title>Finding Cars, Goddesses and Enzymes: Parametrizable Acquisition of Labeled Instances for Open-Domain Information Extraction.</title></item><item><description>Benjamin Van Durme. Notes on the Acquisition of Conditional Knowledge. Technical Report TR-937, Department of Computer Science, University of Rochester, Rochester, NY 14627. June 2008.</description><title>Notes on the Acquisition of Conditional Knowledge.</title></item><item><description>Dekang Lin, Shaojun Zhao, Benjamin Van Durme and Marius Pasca. Mining Parenthetical Translations from the Web by Word Alignment. The 46th Annual Meeting of the Association of Computational Linguistics: Human Language Technologies (ACL-08: HLT). Columbus, Ohio, USA. June 15-20, 2008. [PDF]</description><title>Mining Parenthetical Translations from the Web by Word Alignment.</title></item><item><description>Marius Pasca and Benjamin Van Durme. Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs. The 46th Annual Meeting of the Association of Computational Linguistics: Human Language Technologies (ACL-08: HLT). Columbus, Ohio, USA. June 15-20, 2008. [PDF]</description><title>Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs.</title></item><item><description>Marius Pasca, Benjamin Van Durme, Nikesh Garera. The Role of Documents vs. Queries in Extracting Class Attributes from Text . ACM Sixteenth Conference on Information and Knowledge Management (CIKM 2007). Lisboa, Portugal. November 6-9, 2007. [PDF]</description><title>The Role of Documents vs. Queries in Extracting Class Attributes from Text .</title></item><item><description>Marius Pasca and Benjamin Van Durme. What You Seek is What You Get: Extraction of Class Attributes from Query Logs. Hyderabad, India, February 2007. International Joint Conference on Artificial Intelligence (IJCAI-07). [PDF]</description><title>What You Seek is What You Get: Extraction of Class Attributes from Query Logs.</title></item><item><description>Anna Kupsc, Teruko Mitamura, Benjamin Van Durme, Eric Nyberg. Pronominal Anaphora Resolution for Unrestricted Text. Lisbon, Portugal, May 24-30 2004. LREC.</description><title>Pronominal Anaphora Resolution for Unrestricted Text.</title></item><item><description>Benjamin Van Durme, Yifen Huang, Anna Kupsc, Eric Nyberg. Towards Light Semantic Processing for Question Answering. Edmonton, Canada, May 31 2003. HLT/NAACL Workshop on Text Meaning. [PDF]</description><title>Towards Light Semantic Processing for Question Answering.</title></item><item><description>E. Nyberg, T. Mitamura, J. Callan, J. Carbonell, R. Frederking, K. Collins-Thompson, L. Hiyakumoto, Y. Huang, C. Huttenhower, S. Judy, J. Ko, A. Kupsc, L. Lita, V. Pedro, D. Svoboda and B. Van Durme. The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategy Approach with Dynamic Planning. 12th Text REtrieval Conference, November 2003.</description><title>The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategy Approach with Dynamic Planning.</title></item></channel></rss>
