DEFT Spanish Treebank
|Item Name:||DEFT Spanish Treebank|
|Author(s):||Mariona Taulé, Maria Antonia Martí, Ann Bies, Aina Garí, Montserrat Nofre, Song Chen, Stephanie Strassel, Joe Ellis|
|LDC Catalog No.:||LDC2018T01|
|Release Date:||January 16, 2018|
|Data Source(s):||newswire, discussion forum|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2018T01 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Taulé, Mariona, et al. DEFT Spanish Treebank LDC2018T01. Web Download. Philadelphia: Linguistic Data Consortium, 2018.|
DEFT Spanish Treebank was developed by the Linguistic Data Consortium (LDC) and the Language and Computation Center (CLiC), University of Barcelona. It contains treebank annotation of international Spanish newswire text and Latin American Spanish discussion forum data created for the DARPA Deep Exploration and Filtering of Text (DEFT) program.
DEFT aimed to improve state-of-the-art capabilities in automated deep natural language processing with a particular focus on technologies dealing with inference, casual relationships and anomaly detection across several languages. DEFT Spanish Treebank supported the program's goal of deep natural language understanding.
Newswire source files were selected from Spanish Gigaword Third Edition (LDC2011T12) and were manually sentence-segmented for DEFT. Discussion forum source files were selected from Spanish discussion forum source data collected by LDC, consisting of continuous multi-posts of 100-1000 words.
This release contains 114 files (54,394 tokens) of newswire data and 60 files (55,307 tokens) of discussion forum data all of which were annotated with constituents and syntactic functions. The annotation guidelines for DEFT Spanish Treebank are included in the documentation accompanying this release.
Source documents are presented as plain text files with one sentence unit per line. Treebank annotation files are in xml.
None at this time.
This material is based on research sponsored by Air Force Research Laboratory and Defense Advance Research Projects Agency under agreement number FA8750-13-2-0045. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air Force Research Laboratory and Defense Advanced Research Projects Agency or the U.S. Government.