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Proceedings of the 12th edition of the KONVENS conference Vol. 1

  • The 2014 issue of KONVENS is even more a forum for exchange: its main topic is the interaction between Computational Linguistics and Information Science, and the synergies such interaction, cooperation and integrated views can produce. This topic at the crossroads of different research traditions which deal with natural language as a container of knowledge, and with methods to extract and manage knowledge that is linguistically represented is close to the heart of many researchers at the Institut für Informationswissenschaft und Sprachtechnologie of Universität Hildesheim: it has long been one of the a institute’s research topics, and it has received even more attention over the last few years. The main conference papers deal with this topic from different points of view, involving flat as well as deep representations, automatic methods targeting annotation and hybrid symbolic and statistical processing, as well as new Machine Learning-based approaches, but also the creation of language resources for both machines and humans, and methods for testing the latter to optimize their human-machine interaction properties. In line with the general topic, KONVENS-2014 focuses on areas of research which involve this cooperation of information science and computational linguistics: for example learning-based approaches, (cross-lingual) Information Retrieval, Sentiment Analysis, paraphrasing or dictionary and corpus creation, management and usability. The workshops hosted at this iteration of KONVENS also reflect the interaction of, and common themes shared between, Computational Linguistics and Information Science: a focus on on evaluation, represented by shared tasks on Named Entity Recognition (GermEval) and on Sentiment Analysis (GESTALT); a growing interest in the processing of non-canonical text such as that found in social media (NLP4CMC) or patent documents (IPaMin); multi-disciplinary research which combines Information Science, Computer Aided Language Learning, Natural Language Processing, and E-Lexicography with the objective of creating language learning and training systems that provide intelligent feedback based on rich knowledge (ISCALPEL).

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Metadaten
URN:http://nbn-resolving.de/urn:nbn:de:gbv:hil2-opus-2893
ISBN:978-3-934105-46-1
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2014/10/22
Contributing Corporation:GSCL, ÖGAI, DGfS, Clarin-D, University of Hildesheim
Release Date:2014/10/22
Tag:computational linguistics; information science
GND Keyword:Computerlinguistik; Informations- und Dokumentationswissenschaft
Source:Proceedings of the 12th edition of the KONVENS conference Vol. 1. - Hildesheim
PPN:Link zum Katalog
Contributor:Ruppenhofer, Josef and Faaß, Gertrud (eds.)
Institutes:Fachbereich III / Informationswissenschaft und Sprachtechnologie
Collections:KONVENS 2014 / Proceedings of the 12th KONVENS 2014
Access Rights:Frei zugänglich
Licence (German):License LogoCreative Commons - Namensnennung

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