Summary of the paper
| Title | Automatic Annotation of Co-Occurrence Relations |
|---|---|
| Authors | Dirk Goldhahn and Uwe Quasthoff |
| Abstract | We introduce a method for automatically labelling edges of word co-occurrencegraphs with semantic relations. Therefore we only make use of training dataalready contained within the graph. Starting point of this work is a graphbased on word co-occurrence of the German language, which is created byapplying iterated co-occurrence analysis. The edges of the graph have beenpartially annotated by hand with semantic relationships. In our approach wemake use of the commonly appearing network motif of three words forming atriangular pattern. We assume that the fully annotated occurrences of thesestructures contain information useful for our purpose. Based on these patternsrules for reasoning are learned. The obtained rules are then combined usingDempster-Shafer theory to infer new semantic relations between words. Iterationof the annotation process is possible to increase the number of obtainedrelations. By applying the described process the graph can be enriched withsemantic information at a high precision. |
| Language | Semantics |
| Topics | Statistical and machine learning methods, Ontologies, Semantics |
Full paper  |
Automatic Annotation of Co-Occurrence Relations |
| Bibtex | @InProceedings{GOLDHAHN10.492, author = {Dirk Goldhahn and Uwe Quasthoff}, title = {Automatic Annotation of Co-Occurrence Relations}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |