Summary of the paper
| Title | Freepal: A Large Collection of Deep Lexico-Syntactic Patterns for Relation Extraction |
|---|---|
| Authors | Johannes Kirschnick, Alan Akbik and Holmer Hemsen |
| Abstract | The increasing availability and maturity of both scalable computing architectures and deep syntactic parsers is opening up new possibilities for Relation Extraction (RE) on large corpora of natural language text. In this paper, we present Freepal, a resource designed to assist with the creation of relation extractors for more than 5,000 relations defined in the Freebase knowledge base (KB). The resource consists of over 10 million distinct lexico-syntactic patterns extracted from dependency trees, each of which is assigned to one or more Freebase relations with different confidence strengths. We generate the resource by executing a large-scale distant supervision approach on the ClueWeb09 corpus to extract and parse over 260 million sentences labeled with Freebase entities and relations. We make Freepal freely available to the research community, and present a web demonstrator to the dataset, accessible from free-pal.appspot.com. |
| Topics | LR Infrastructures and Architectures, Information Extraction, Information Retrieval |
Full paper  |
Freepal: A Large Collection of Deep Lexico-Syntactic Patterns for Relation Extraction |
| Bibtex | @InProceedings{KIRSCHNICK14.764, author = {Johannes Kirschnick and Alan Akbik and Holmer Hemsen}, title = {Freepal: A Large Collection of Deep Lexico-Syntactic Patterns for Relation Extraction}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |