Summary of the paper
| Title | SemSim: Resources for Normalized Semantic Similarity Computation Using Lexical Networks |
|---|---|
| Authors | Elias Iosif and Alexandros Potamianos |
| Abstract | We investigate the creation of corpora from web-harvested data following a scalable approach that has linear query complexity. Individual web queries are posed for a lexicon that includes thousands of nouns and the retrieved data are aggregated. A lexical network is constructed, in which the lexicon nouns are linked according to their context-based similarity. We introduce the notion of semantic neighborhoods, which are exploited for the computation of semantic similarity. Two types of normalization are proposed and evaluated on the semantic tasks of: (i) similarity judgement, and (ii) noun categorization and taxonomy creation. The created corpus along with a set of tools and noun similarities are made publicly available. |
| Topics | Text mining, Tools, systems, applications, Corpus (creation, annotation, etc.) |
Full paper  |
SemSim: Resources for Normalized Semantic Similarity Computation Using Lexical Networks |
| Bibtex | @InProceedings{IOSIF12.464, author = {Elias Iosif and Alexandros Potamianos}, title = {SemSim: Resources for Normalized Semantic Similarity Computation Using Lexical Networks}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |