Summary of the paper
| Title | An Annotated Dataset for Extracting Definitions and Hypernyms from the Web |
|---|---|
| Authors | Roberto Navigli, Paola Velardi and Juana María Ruiz-Martínez |
| Abstract | This paper presents and analyzes an annotated corpus of definitions, created to train an algorithm for the automatic extraction of definitions and hypernyms from web documents. As an additional resource, we also include a corpus of non-definitions with syntactic patterns similar to those of definition sentences, e.g.: ""An android is a robot"" vs. ""Snowcap is unmistakable"". Domain and style independence is obtained thanks to the annotation of a large and domain-balanced corpus and to a novel pattern generalization algorithm based on word-class lattices (WCL). A lattice is a directed acyclic graph (DAG), a subclass of nondeterministic finite state automata (NFA). The lattice structure has the purpose of preserving the salient differences among distinct sequences, while eliminating redundant information. The WCL algorithm will be integrated into an improved version of the GlossExtractor Web application (Velardi et al., 2008). This paper is mostly concerned with a description of the corpus, the annotation strategy, and a linguistic analysis of the data. A summary of the WCL algorithm is also provided for the sake of completeness. |
| Topics | Corpus (creation, annotation, etc.), Semantics, Information Extraction, Information Retrieval |
Full paper |
An Annotated Dataset for Extracting Definitions and Hypernyms from the Web |
Slides |
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| Bibtex | @InProceedings{NAVIGLI10.20, author = {Roberto Navigli and Paola Velardi and Juana María Ruiz-Martínez}, title = {An Annotated Dataset for Extracting Definitions and Hypernyms from the Web}, 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} } |