People’s Web Meets NLP

Collaboratively Constructed Language Resources

Häftad, Engelska, 2015

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Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP).

Produktinformation

Utgivningsdatum2015-05-20
Mått155 x 235 x 22 mm
Vikt610 g
FormatHäftad
SpråkEngelska
SerieTheory and Applications of Natural Language Processing
Antal sidor378
Upplaga2013
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
MedarbetareCalzolari,Nicoletta
ISBN9783642438394

Tillhör följande kategorier

Språkvetenskap och lingvistik inom Språk och ordböcker
Systemvetenskap och AI inom Data och IT
Affärsapplikationer inom Data och IT
Databaser inom Data och IT

Iryna Gurevych leads the UKP Lab in the Department of Computer Science of the Technische Universität Darmstadt (UKP-TUDA) and at the Institute for Educational Research and Educational Information (UKP-DIPF) in Frankfurt, Germany. She holds an endowed Lichtenberg-Chair "Ubiquitous Knowledge Processing" of the Volkswagen Foundation. Her research in NLP primarily concerns applied lexical semantic algorithms, such as computing semantic relatedness of words or paraphrase recognition, and their use to enhance the performance of NLP tasks, such as information retrieval, question answering, or summarization.Jungi Kim is a postdoctoral researcher at UKP Lab in the Department of Computer Science of the Technische Universität Darmstadt, Germany (UKP-TUDA). His primary research interests are in semantic resources, algorithms, and evaluations for multilingual natural language processing. His previous research includes multilingual sentiment analysis, statistical machine translation, and various NLP topics involving multiple languages, especially East Asian languages.

Part I Approaches to Collaboratively Constructed Language Resources.- 1.Using Games to Create Language Resources: Successes and Limitations of the Approach. J.Chamberlain, K.Fort, U.Kruschwitz, M.Lafourcade and M.Poesio.- 2.Senso Comune: A Collaborative Knowledge Resource for Italian. Al.Oltramari, G.Vetere, I.Chiari, E.Jezek, F.M.Zanzotto, M.Nissim, and A.Gangemi.- 3.Building Multilingual Language Resources in Web Localisation: A Crowdsourcing Approach. A.Wasala, R.Schäler, J.Buckley, R.Weerasinghe and C.Exton. – 4.Reciprocal Enrichment Between Basque Wikipedia and Machine Translation.- I.Alegria, U.Cabezon, U.Fernandez de Betoño, G.Labaka, A.Mayor, K.Sarasola and A.Zubiaga.- Part II Mining Knowledge From and Using Collaboratively Constructed Language Resources.- 5.A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia. O.Ferschke, J.Daxenberger and I.Gurevych.- 6.ConceptNet 5: A Large Semantic Network for Relational Knowledge. R.Speer and C.Havasi.- 7.An Overview of BabelNet and its API for Multilingual Language Processing. R.Navigli and S.P.Ponzetto.- 8.Hierarchical Organization of Collaboratively Constructed Content. J.Yu, Z-J.Zha, and T-S.Chua.- 9.Word Sense Disambiguation using Wikipedia. B.Dandala, R.Mihalcea, and R.Bunescu.- Part III Interconnecting and Managing Collaboratively Constructed Language Resources.- 10.An Open Linguistic Infrastructure for Annotated Corpora. N.Ide.- 11.TowardsWeb-Scale Collaborative Knowledge Extraction. S.Hellmann, S. Auer.- 12.Building a Linked Open Data Cloud of Linguistic Resources: Motivations and Developments. C.Chiarcos, S.Moran, P.N.Mendes, S.Nordhoff, R.Littauer.- 13.Community Efforts around the ISOcat Data Category Registry. S.E.Wright, M.Windhouwer, I.Schuurman, M.Kemps-Snijders.- Index.