Identifying semantic relations and functional properties of human verb associations

Sabine Schulte Im Im Walde (Lead / Corresponding author), Alissa Melinger (Lead / Corresponding author)

Research output: Contribution to conferencePaperpeer-review

14 Citations (Scopus)


This paper uses human verb associations as the basis for an investigation of verb properties, focusing on semantic verb relations and prominent nominal features. First, the lexical semantic taxonymy GermaNet is checked on the types of classic semantic relations in our data; verbverb pairs not covered by GermaNet can help to detect missing links in the taxonomy, and provide a useful basis for defining non-classical relations. Second, a statistical grammar is used for determining the conceptual roles of the noun responses. We present prominent syntaxsemantic roles and evidence for the usefulness of co-occurrence information in distributional verb descriptions.


ConferenceHuman Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT
CityVancouver, BC


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