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            <namePart type="given">Michael</namePart>
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    <abstract>This contribution provides a strong baseline result for the CogALex-V shared task using a traditional “count”-type DSM (placed in rank 2 out of 7 in subtask 1 and rank 3 out of 6 in subtask 2). Parameter tuning experiments reveal some surprising effects and suggest that the use of random word pairs as negative examples may be problematic, guiding the parameter optimization in an undesirable direction.</abstract>
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%0 Conference Proceedings
%T CogALex-V Shared Task: Mach5 – A traditional DSM approach to semantic relatedness
%A Evert, Stefan
%Y Zock, Michael
%Y Lenci, Alessandro
%Y Evert, Stefan
%S Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F evert-2016-cogalex
%X This contribution provides a strong baseline result for the CogALex-V shared task using a traditional “count”-type DSM (placed in rank 2 out of 7 in subtask 1 and rank 3 out of 6 in subtask 2). Parameter tuning experiments reveal some surprising effects and suggest that the use of random word pairs as negative examples may be problematic, guiding the parameter optimization in an undesirable direction.
%U https://aclanthology.org/W16-5312
%P 92-97

Markdown (Informal)

[CogALex-V Shared Task: Mach5 – A traditional DSM approach to semantic relatedness](https://aclanthology.org/W16-5312) (Evert, CogALex 2016)

• CogALex-V Shared Task: Mach5 – A traditional DSM approach to semantic relatedness (Evert, CogALex 2016)

ACL

• Stefan Evert. 2016. CogALex-V Shared Task: Mach5 – A traditional DSM approach to semantic relatedness. In Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V), pages 92–97, Osaka, Japan. The COLING 2016 Organizing Committee.