Gerhard Kremer
2014
What Substitutes Tell Us - Analysis of an “All-Words” Lexical Substitution Corpus
Gerhard Kremer | Katrin Erk | Sebastian Padó | Stefan Thater
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
Gerhard Kremer | Katrin Erk | Sebastian Padó | Stefan Thater
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
2010
Predicting Cognitively Salient Modifiers of the Constitutive Parts of Concepts
Gerhard Kremer | Marco Baroni
Proceedings of the 2010 Workshop on Cognitive Modeling and Computational Linguistics
Gerhard Kremer | Marco Baroni
Proceedings of the 2010 Workshop on Cognitive Modeling and Computational Linguistics
2008
Cognitively Salient Relations for Multilingual Lexicography
Gerhard Kremer | Andrea Abel | Marco Baroni
Coling 2008: Proceedings of the Workshop on Cognitive Aspects of the Lexicon (COGALEX 2008)
Gerhard Kremer | Andrea Abel | Marco Baroni
Coling 2008: Proceedings of the Workshop on Cognitive Aspects of the Lexicon (COGALEX 2008)
2006
Identifying and Classifying Terms in the Life Sciences: The Case of Chemical Terminology
Stefanie Anstein | Gerhard Kremer | Uwe Reyle
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Stefanie Anstein | Gerhard Kremer | Uwe Reyle
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Facing the huge amount of textual and terminological data in the life sciences, we present a theoretical basis for the linguistic analysis of chemical terms. Starting with organic compound names, we conduct a morpho-semantic deconstruction into morphemes and yield a semantic representation of the terms' functional and structural properties. These semantic representations imply both the molecular structure of the named molecules and their class membership. A crucial feature of this analysis, which distinguishes it from all similar existing systems, is its ability to deal with terms that do not fully specify a structure as well as terms for generic classes of chemical compounds. Such `underspecified' terms occur very frequently in scientific literature. Our approach will serve for the support of manual database curation and as a basis for text processing applications.