DEFT Chinese Committed Belief Annotation ;

Saved in:
Bibliographic Details
Imprint:[Philadelphia, Pa.] : Linguistic Data Consortium, 2019
Description:1 DVD-ROM ; 4 3/4 in.
Language:Chinese
Subject:
Format: Unknown
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12739905
Hidden Bibliographic Details
Other authors / contributors:Tracey, Jennifer
Arrigo, Michael
Kuster, Neil
Strassel, Stephanie
Linguistic Data Consortium.
ISBN:1585639117
9781585639113
Notes:Title from disc label.
"LDC2019T03."
Release Date: February 15, 2019
Author(s): Jennifer Tracey, Michael Arrigo, Neil Kuster, Stephanie Strassel
Introduction: DEFT Chinese Committed Belief Annotation was developed by the Linguistic Data Consortium (LDC) and consists of approximately 83,000 tokens of Chinese discussion forum text annotated for "committed belief," which marks the level of commitment displayed by the author to the truth of the propositions expressed in the text. DARPA's Deep Exploration and Filtering of Text (DEFT) program aimed to address remaining capability gaps in state-of-the-art natural language processing technologies related to inference, causal relationships and anomaly detection. LDC supported the DEFT program by collecting, creating and annotating a variety of language resources. LDC has also released DEFT Spanish Committed Belief Annotation (LDC2019T09).
Data:The source data is Chinese discussion forum web text collected by LDC. Annotations fall into one of four categories: committed belief, non-committed belief, reported belief and not applicable. Further information about the annotation methodology is contained in the documentation accompanying this release. This publication contains 140 files (83,016 tokens). Annotation files are stored in XML format, and source documents are stored in plain text format. Both types of files are encoded in UTF-8.
Language(s) Mandarin Chinese