Refine
Year of publication
- 2014 (173) (remove)
Document Type
- Part of a Book (99)
- Article (43)
- Conference Proceeding (24)
- Other (4)
- Book (2)
- Working Paper (1)
Keywords
- Deutsch (60)
- Korpus <Linguistik> (20)
- Linguistik (19)
- Institut für Deutsche Sprache (18)
- Germanistik (17)
- Institut für Deutsche Sprache <Mannheim> (14)
- Computerunterstützte Lexikographie (13)
- Gastwissenschaftler (13)
- Gesprochene Sprache (10)
- Wissenschaftsgeschichte (10)
Publicationstate
- Veröffentlichungsversion (173) (remove)
Reviewstate
- (Verlags)-Lektorat (117)
- Peer-Review (34)
- Verlags-Lektorat (6)
- Peer-review (3)
- Review-Status-unbekannt (2)
- (Verlags)Lektorat (1)
- Peer-Revied (1)
Publisher
- Institut für Deutsche Sprache (47)
- De Gruyter (22)
- de Gruyter (22)
- Stauffenburg (7)
- Universitätsverlag Hildesheim (4)
- Erich Schmidt Verlag (3)
- International Speech Communication Association (3)
- Lang (3)
- European Language Resources Association (2)
- Schmidt (2)
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 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.