%0 Thesis %1 Dorow2007Graph %A Dorow, Beate %D 2007 %K clustering entityguides graph semantic %T A Graph Model for Words and their Meanings %U http://elib.uni-stuttgart.de/opus/volltexte/2007/2985/ %X In this thesis we take a graph-theoretic approach to the automatic acquisition of word meanings. We represent the nouns in a text in form of a semantic graph consisting of words (the nodes) and relationships between them (the links). Links in the graph are based on cooccurrence of nouns in lists. We find that valuable information about the meaning of words and their interactions can be extracted from the resulting semantic structure.

@phdthesis{Dorow2007Graph, abstract = {In this thesis we take a graph-theoretic approach to the automatic acquisition of word meanings. We represent the nouns in a text in form of a semantic graph consisting of words (the nodes) and relationships between them (the links). Links in the graph are based on cooccurrence of nouns in lists. We find that valuable information about the meaning of words and their interactions can be extracted from the resulting semantic structure.}, added-at = {2009-03-12T15:42:50.000+0100}, author = {Dorow, Beate}, biburl = {https://www.bibsonomy.org/bibtex/20dad8feb3ae14abe359dde989263ab12/lillejul}, citeulike-article-id = {3512209}, interhash = {cc2c8c74e8c8710810a585a366d5c84e}, intrahash = {0dad8feb3ae14abe359dde989263ab12}, keywords = {clustering entityguides graph semantic}, month = {March}, posted-at = {2009-03-10 07:37:47}, priority = {0}, school = {Institut f\"{u}r Maschinelle Sprachverarbeitung, Fachrichtung Computerlingustik, Universit\"{a}t Stuttgart}, timestamp = {2009-03-12T15:42:50.000+0100}, title = {A Graph Model for Words and their Meanings}, url = {http://elib.uni-stuttgart.de/opus/volltexte/2007/2985/}, year = 2007 }