@article{journals/ijsc/GurevychL07, title = {Guest Editors' Introduction.}, author = {Iryna Gurevych and Zhu Liu}, journal = {Int. J. Semantic Computing}, number = {4}, pages = {403-404}, url = {http://dblp.uni-trier.de/db/journals/ijsc/ijsc1.html#GurevychL07}, volume = {1}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2a50a9493dec8229cb17766d8f997a8d6/dblp}, description = {dblp}, ee = {http://dx.doi.org/10.1142/S1793351X07000299}, date = {2008-07-09}, keywords = {dblp } } @inproceedings{conf/acl/GurevychMZ07, title = {What to be? - Electronic Career Guidance Based on Semantic Relatedness.}, author = {Iryna Gurevych and Christof Müller and Torsten Zesch}, booktitle = {ACL}, crossref = {conf/acl/2007}, publisher = {The Association for Computer Linguistics}, url = {http://dblp.uni-trier.de/db/conf/acl/acl2007.html#GurevychMZ07}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2bf01c968b8578528ac0b33eae12637b9/dblp}, description = {dblp}, ee = {http://aclweb.org/anthology-new/P/P07/P07-1130.pdf}, date = {2008-07-03}, keywords = {dblp } } @inproceedings{conf/acl/WeimerGM07, title = {Automatically Assessing the Post Quality in Online Discussions on Software.}, author = {Markus Weimer and Iryna Gurevych and Max Mühlhäuser}, booktitle = {ACL}, crossref = {conf/acl/2007}, publisher = {The Association for Computer Linguistics}, url = {http://dblp.uni-trier.de/db/conf/acl/acl2007.html#WeimerGM07}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2e42726354e4d07ed0cb2e287db8c4257/dblp}, description = {dblp}, ee = {http://aclweb.org/anthology-new/P/P07/P07-2032.pdf}, date = {2008-07-03}, keywords = {dblp } } @book{gurevych2007, title = {osCommerce webmaster's guide to selling online : increase your sales and profits with expert tips on SEO, marketing, design, selling strategies, etc.}, address = {Packt Publ.}, annote = {IX, 406 S}, author = {{Vadym} Gurevych}, edition = {1. publ.}, howpublished = {Brimingham [u.a.]}, url = {http://gso.gbv.de/DB=2.1/CMD?ACT=SRCHA&SRT=YOP&IKT=1016&TRM=ppn+556408888&sourceid=fbw_bibsonomy}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/21f02ae3637c564739e699a67a675065e/fbw}, description = {imported}, isbn = {978-1-8471-9202-8}, keywords = {osCommerce } } @inproceedings{Gurevych2004, title = {Semantic similarity applied to spoken dialogue summarization}, author = {Iryna Gurevych and Michael Strube}, booktitle = {International Conference on Computational Linguistics}, pages = {764--770}, url = {http://www.eml-research.de/english/research/nlp/download/coling2004.pdf}, year = {2004}, biburl = {http://www.bibsonomy.org/bibtex/296e714e5df90af1dc4dd77daee5ef7d9/marcoalvarez}, abstract = {We present a novel approach to spoken dialogue summarization. Our system employs a set of semantic similarity metrics using the noun portion of WordNet as a knowledge source. So far, the noun senses have been disambiguated manually. The algorithm aims to extract utterances carrying the essential content of dialogues. We evaluate the system on 20 Switchboard dialogues. The results show that our system outperforms LEAD, RANDOM and TF*IDF baselines.}, timestamp = {2007.05.18}, owner = {Marco}, keywords = {SemanticSimilarity } } @inproceedings{zesch2006acd, title = {Automatically creating datasets for measures of semantic relatedness}, address = {Sydney, Australia}, author = {Torsten Zesch and Iryna Gurevych}, booktitle = {COLING/ACL 2006 Workshop on Linguistic Distances}, pages = {16--24}, url = {http://www.ukp.tu-darmstadt.de/sites/www.ukp.tu-darmstadt.de/files/datasets.zip}, year = {2006}, biburl = {http://www.bibsonomy.org/bibtex/27f05ca2dd5d49dd268a82eb1800ad01d/brightbyte}, description = {stuff from citeyoulike}, priority = {2}, citeulike-article-id = {2354965}, keywords = {relatedness semantic } } @inproceedings{ZeschMuellerGurevych2008, title = {{Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary}}, author = {Torsten Zesch and Christof M{\"u}ller and Iryna Gurevych}, booktitle = {Proceedings of the Conference on Language Resources and Evaluation (LREC)}, url = {http://elara.tk.informatik.tu-darmstadt.de/publications/2008/lrec08_camera_ready.pdf}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/2535de02686dbbd8de52571e4019ef4c9/hkorte}, description = {JWPL}, keywords = {lexical nlp text_mining wiki } } @inproceedings{conf/delfi/SteimleGM07, title = {Notetaking in University Courses and its Implications for eLearning Systems.}, author = {Jürgen Steimle and Iryna Gurevych and Max Mühlhäuser}, booktitle = {DeLFI}, crossref = {conf/delfi/2007}, editor = {Christian Eibl and Johannes Magenheim and Sigrid E. Schubert and Martin Wessner}, pages = {45-56}, publisher = {GI}, series = {LNI}, url = {http://dblp.uni-trier.de/db/conf/delfi/delfi2007.html#SteimleGM07}, volume = {111}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2cf82745a7464d7d8314ccdf9c2cfc390/dblp}, description = {dblp}, date = {2008-04-08}, isbn = {978-3-88579-205-5}, keywords = {dblp } } @inproceedings{Weimer2007, title = {Predicting the Perceived Quality of Web Forum Posts}, address = {Borovets, Bulgaria}, author = {Markus Weimer and Iryna Gurevych}, booktitle = {Proceedings of RANLP 2007}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2ee168b906a291001a523c6a0a5146010/subjectivity}, timestamp = {2008.03.24}, owner = {josefr}, keywords = {analysis sentiment subjectivity } } @inproceedings{citeulike:2348620, title = {Analyzing and Accessing Wikipedia as a Lexical Semantic Resource}, author = {Torsten Zesch and Iryna Gurevych and Max Mühlhäuser}, booktitle = {Biannual Conference of the Society for Computational Linguistics and Language Technology}, school = {Darmstadt University of Technology}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/22d8f740fe023824a89405eaaddc4bfce/renew}, description = {stuff from citeyoulike}, abstract = {We analyze Wikipedia as a lexical semantic resource and compare it with conventional resources, such as dictionaries, thesauri, semantic wordnets, etc. Different parts of Wikipedia reflect different aspects of these resources. We show that Wikipedia contains a vast amount of knowledge about, e.g., named entities, domain specific terms, and rare word senses. If Wikipedia is to be used as a lexical semantic resource in large-scale NLP tasks, efficient programmatic access to the knowledge therein is required. We review existing access mechanisms and show that they are limited with respect to performance and the provided access functions. Therefore, we introduce a general purpose, high performance Java-based Wikipedia API that overcomes these limitations. It is available for research purposes at http://www.ukp.tu-darmstadt.de/software/WikipediaAPI.}, priority = {4}, citeulike-article-id = {2348620}, keywords = {lexical nlp semantics wikipedia } }