Abstract
The importance of attribution is becoming evident due to its relevance in particular for Opinion Analysis and Information Extraction applications. Attribution would allow to identify different perspectives on a given topic or retrieve the statements of a specific source of interest, but also to select more relevant and reliable information. However, the scarce and partial resources available to date to conduct attribution studies have determined that only a portion of attribution structures has been identified and addressed. This paper presents the collection and further annotation of a database of over 9800 attributions relations from the Penn Discourse TreeBank (PDTB). The aim is to build a large and complete resource that fills a key gap in the field and enables the training and testing of robust attribution extraction systems.- Anthology ID:
- L12-1571
- Volume:
- Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
- Month:
- May
- Year:
- 2012
- Address:
- Istanbul, Turkey
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 3213–3217
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/958_Paper.pdf
- DOI:
- Cite (ACL):
- Silvia Pareti. 2012. A Database of Attribution Relations. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3213–3217, Istanbul, Turkey. European Language Resources Association (ELRA).
- Cite (Informal):
- A Database of Attribution Relations (Pareti, LREC 2012)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/958_Paper.pdf