Phrase Detectives Corpus
| Item Name: | Phrase Detectives Corpus |
| Author(s): | Jon Chamberlain, Massimo Poesio, Udo Kruschwitz |
| LDC Catalog No.: | LDC2017T08 |
| ISBN: | 1-58563-798-X |
| ISLRN: | 052-688-100-874-5 |
| DOI: | https://doi.org/10.35111/9890-p128 |
| Release Date: | May 15, 2017 |
| Member Year(s): | 2017 |
| DCMI Type(s): | Text |
| Data Source(s): | fiction, web collection |
| Application(s): | information detection, parsing, information extraction, tagging |
| Language(s): | English |
| Language ID(s): | eng |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2017T08 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Chamberlain, Jon, Massimo Poesio, and Udo Kruschwitz. Phrase Detectives Corpus LDC2017T08. Web Download. Philadelphia: Linguistic Data Consortium, 2017. |
| Related Works: | View |
Introduction
Phrase Detectives Corpus was developed by the School of Computer Science and Electronic Engineering at the University of Essex and consists of approximately 19,012 words across 40 documents anaphorically-annotated by the Phrase Detectives game, an online interactive "game-with-a-purpose" (GWAP) designed to collect data about English anaphoric coreference.
GWAPs for creating language resources are growing. In general, they employ non-monetary incentives, such as entertainment, to motivate participation and can be successful for large-scale persistent annotation efforts.
Data
The documents in the corpus are taken from Wikipedia articles and from narrative text in Project Gutenberg. Wikipedia articles and annotation files are presented as XML and Project Gutenberg source files are presented as plain text. All text is encoded as UTF-8. Annotations are comprised of a gold standard version created by multiple experts, as well as a set created by a large non-expert crowd (via the Phase Detectives game).
The data was annotated according to a prevalent linguistically-oriented approach for anaphora used in several tasks, including OntoNotes Release 5.0 (LDC2013T19), SemEval-2010 Task 1 Ontonotes English: Coreference Resolution in Multiple Languages (LDC2011T01) and The ARRAU Corpus of Anaphoric Information (LDC2013T22).
Samples
Please view the following source sample and annotation sample.
Updates
None at this time.