Summary of the paper
| Title | A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia |
|---|---|
| Authors | Ziqi Zhang, Anna Lisa Gentile, Lei Xia, José Iria and Sam Chapman |
| Abstract | Determining semantic relatedness between words or concepts is a fundamental process to many Natural Language Processing applications. Approaches for this task typically make use of knowledge resources such as WordNet and Wikipedia. However, these approaches only make use of limited number of features extracted from these resources, without investigating the usefulness of combining various different features and their importance in the task of semantic relatedness. In this paper, we propose a random walk model based approach to measuring semantic relatedness between words or concepts, which seamlessly integrates various features extracted from Wikipedia to compute semantic relatedness. We empirically study the usefulness of these features in the task, and prove that by combining multiple features that are weighed according to their importance, our system obtains competitive results, and outperforms other systems on some datasets. |
| Topics | Semantics, Word Sense Disambiguation, Textual Entailment and Paraphrasing |
Full paper |
A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia |
Slides |
A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia |
| Bibtex | @InProceedings{ZHANG10.292, author = {Ziqi Zhang and Anna Lisa Gentile and Lei Xia and José Iria and Sam Chapman}, title = {A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |