@inproceedings{JMI06, added-at = {2006-11-06T22:17:53.000+0100}, author = {Jin, YingZi and Matsuo, Yutaka and Ishizuka, Mitsuru}, biburl = {http://www.bibsonomy.org/bibtex/2c9c529d170f8e7e91502d94cb2c785b9/lysander07}, booktitle = {Proc. of ISWC2006 Workshop on Web Content Mining with Human Language Technology}, interhash = {2f6f3b4955ad9e60a98228781667bdaa}, intrahash = {c9c529d170f8e7e91502d94cb2c785b9}, keywords = {co-occurence web2.0 WCMHLT2006 datamining socialNetworks}, timestamp = {2006-11-06T22:17:53.000+0100}, title = {Extracting a Social Network among Entities by Web mining}, url = {http://orestes.ii.uam.es/workshop/13.pdf}, year = 2006 } @inproceedings{GKB06, abstract = {We present a novel unsupervised approach to mapping artrelated instances (such as music artists and painters) to subjective categories like genre and style. We base our approach on co-occurrences of the two on the web, found with Google. The co-occurrences are found using three methods: by identifying the search engine counts, by analyzing Google excerpts found by querying patterns and by scanning full documents. Per instance, we use the same co-occurrence-based approach to find its nearest neighbors, i.e. the most related instances. These results can be combined in order to create a more reliable classification. We tested and compared the three methods on two different domains: mapping music artists to genres, and painters to art-styles. The results show that the use of related instances indeed improves the precision of the classification. Moreover, the methods with the lowest Google Complexity perform best.}, added-at = {2006-11-06T22:05:31.000+0100}, author = {Geleijnse, Gijs and Korst, Jan and de Boer, Viktor}, biburl = {http://www.bibsonomy.org/bibtex/2027513ba40abf3789d6e8872fbe07287/lysander07}, booktitle = {Proc. of the ISWC2006 Workshop on Web Content Mining with Human Language Technologies}, interhash = {e26e7cca0055f3042f172a70968aa724}, intrahash = {027513ba40abf3789d6e8872fbe07287}, keywords = {co-occurence WCMHLT2006 google datamining linguistics}, timestamp = {2006-11-06T22:05:31.000+0100}, title = {Instance Classification using Co-Occurrences on the Web}, url = {http://orestes.ii.uam.es/workshop/3.pdf}, year = 2006 } @inproceedings{SHK06, added-at = {2006-11-06T21:18:15.000+0100}, author = {Suh, Sangweon and Halpin, Harry and Klein, Ewan}, biburl = {http://www.bibsonomy.org/bibtex/2026dd8decd2c8b45f96b0e89838231af/lysander07}, booktitle = {Proc. of the ISWC2006 Workshop on Web Content Mining with Human Language technology}, interhash = {d5b80f7cc7344cb796e17015cf758811}, intrahash = {026dd8decd2c8b45f96b0e89838231af}, keywords = {WCMHLT2006 linguistics wikipedia}, timestamp = {2006-11-06T21:18:15.000+0100}, title = {Extracting Common Sense Knowledge from Wikipedia}, url = {http://orestes.ii.uam.es/workshop/22.pdf}, year = 2006 } @article{YWM06, added-at = {2006-11-06T21:15:21.000+0100}, author = {Yatskevich, Mikalai and Welty, Chris and Murdock, J. William}, biburl = {http://www.bibsonomy.org/bibtex/24b8618d51dbdb4ce24310c1a5b0d3bd8/lysander07}, booktitle = {Proc. of ISWC2006 Web Content Mining with Human Language Technology}, interhash = {68817c53afac6523bb74e56aadf97ca2}, intrahash = {4b8618d51dbdb4ce24310c1a5b0d3bd8}, keywords = {WCMHLT2006 linguistics}, timestamp = {2006-11-06T21:15:21.000+0100}, title = {Coreference resolution on RDF Graphs generated from Information Extraction: first results}, url = {http://orestes.ii.uam.es/workshop/16.pdf}, year = 2006 } @inproceedings{FSH06, added-at = {2006-11-06T21:06:27.000+0100}, author = {Feng, Donghui and Shaw, Erin and Hovy, Eduard}, biburl = {http://www.bibsonomy.org/bibtex/21a6a570c5349e6b17c5de1f53a83ff00/lysander07}, booktitle = {Proc. of the ISWC2006 Workshop on Web Content Mining with Human Language Technologies}, interhash = {b130c0dc20eb40c0054b9e5e812a4170}, intrahash = {1a6a570c5349e6b17c5de1f53a83ff00}, keywords = {ontologyLearning WCMHLT2006 datamining speechanalysis}, timestamp = {2006-11-06T21:06:27.000+0100}, title = {Mining and Assessing Discussions on the Web through Speech Act Analysis}, url = {http://orestes.ii.uam.es/workshop/10.pdf}, year = 2006 } @inproceedings{SSYT06, added-at = {2006-11-06T21:01:19.000+0100}, author = {Shinzato, Keiji and Sekine, Satoshi and Yoshinaga, Naoki and Torisawa, Kentaro}, biburl = {http://www.bibsonomy.org/bibtex/2267dbeb828a421c2acaadd0eaf4baebe/lysander07}, booktitle = {Proc. of the ISWC2006 Workshop on Web Content Mining with Human Language Technologies}, interhash = {538c03b296f51a9d1b46b0e16cd55f9c}, intrahash = {267dbeb828a421c2acaadd0eaf4baebe}, keywords = {WCMHLT2006 linguistics}, timestamp = {2006-11-06T21:01:19.000+0100}, title = {Constructing Dictionaries for Named Entity Recognition on Specific Domains from the Web}, url = {http://orestes.ii.uam.es/workshop/7.pdf}, year = 2006 } @inproceedings{CC06, added-at = {2006-11-06T20:36:31.000+0100}, author = {Chapman, Sam and Ciravegna, Fabio}, biburl = {http://www.bibsonomy.org/bibtex/24b3336e01652540bfe38efbeeff26618/lysander07}, booktitle = {Proc. of ISWC2006 Workshop on Web Content Mining with Human Language Technology}, interhash = {eddc65984512576054102c5537489298}, intrahash = {4b3336e01652540bfe38efbeeff26618}, keywords = {WCMHLT2006 desaster emergency decisionsupport}, timestamp = {2006-11-06T20:36:31.000+0100}, title = {Focused Data Mining for decision support in Emergency Response Scenarios.}, url = {http://orestes.ii.uam.es/workshop/18.pdf}, year = 2006 } @inproceedings{WB06, added-at = {2006-11-06T20:11:04.000+0100}, author = {Weber, Nicolas and Buitelaar, Paul}, biburl = {http://www.bibsonomy.org/bibtex/2574c228e27d09c99971b83a6a64ce5a3/lysander07}, booktitle = {Proc. of ISWC2006 Workshop on Web Content Mining with Human Language Technologies}, interhash = {12a7e3f72294d2def8e0bd3605474645}, intrahash = {574c228e27d09c99971b83a6a64ce5a3}, keywords = {ontologyLearning WCMHLT2006}, timestamp = {2006-11-06T20:11:04.000+0100}, title = {Web-based Ontology Learning with ISOLDE}, url = {http://orestes.ii.uam.es/workshop/4.pdf}, year = 2006 } @inproceedings{HC06, abstract = {We investigate the extraction of ontologies from biological text using a semantic representation derived from a robust parser. The use of a semantic representation avoids the problems that traditional pattern-based approaches have with complex syntactic constructions and long-distance dependencies. The discovery of taxonomic relationships is explored in a corpus consisting of 12,200 animal-related articles from the online encyclopaedia Wikipedia. The semantic representation used is Robust Minimal Recursion Semantics (RMRS). Initial experiments show good results in systematising extraction across a variety of hyponymic constructions.}, added-at = {2006-11-06T20:01:03.000+0100}, author = {Herbelot, Aurelie and Copestake, Ann}, biburl = {http://www.bibsonomy.org/bibtex/2b4551ac88a3954153d61e86be6f188c2/lysander07}, booktitle = {Proc.of the ISWC 2006 Workshop on Web Content Mining with Human Language Technologies}, description = {- Ontology extraction - Using wikipedia as text corpus - Semantics represented by RMRS}, interhash = {2c294b2c79612e073b0574d6a5891df9}, intrahash = {b4551ac88a3954153d61e86be6f188c2}, keywords = {ontologyLearning WCMHLT2006 linguistics ontologies wikipedia}, timestamp = {2006-11-06T20:01:03.000+0100}, title = {Acquiring Ontological Relationships from Wikipedia Using RMRS}, url = {http://orestes.ii.uam.es/workshop/12.pdf}, year = 2006 }