Summary of the paper
| Title | Exploiting Multiply Annotated Corpora in Biomedical Information Extraction Tasks |
|---|---|
| Authors | Barry Haddow and Beatrice Alex |
| Abstract | This paper discusses the problem of utilising multiply annotated data in training biomedical information extraction systems. Two corpora, annotated with entities and relations, and containing a number of multiply annotated documents, are used to train named entity recognition and relation extraction systems. Several methods of automatically combining the multiple annotations to produce a single annotation are compared, but none produces better results than simply picking one of the annotated versions at random. It is also shown that adding extra singly annotated documents produces faster performance gains than adding extra multiply annotated documents. |
| Language | Single language |
| Topics | Information Extraction, Information Retrieval, Corpus (creation, annotation, etc.), Named Entity recognition |
Full paper |
Exploiting Multiply Annotated Corpora in Biomedical Information Extraction Tasks |
Slides |
Exploiting Multiply Annotated Corpora in Biomedical Information Extraction Tasks |
| Bibtex | @InProceedings{HADDOW08.516, author = {Barry Haddow and Beatrice Alex}, title = {Exploiting Multiply Annotated Corpora in Biomedical Information Extraction Tasks}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |