DiscAlign for Penn and RST Discourse Treebanks
| Item Name: | DiscAlign for Penn and RST Discourse Treebanks |
| Author(s): | Vera Demberg, Fatemeh Torabi Asr, Merel C.J. Scholman |
| LDC Catalog No.: | LDC2021T16 |
| ISBN: | 1-58563-975-3 |
| ISLRN: | 013-086-726-491-1 |
| DOI: | https://doi.org/10.35111/cf0q-c454 |
| Release Date: | September 15, 2021 |
| Member Year(s): | 2021 |
| DCMI Type(s): | Text |
| Data Source(s): | newswire |
| Application(s): | discourse analysis, linguistic analysis, pragmatics, relation extraction |
| Language(s): | English |
| Language ID(s): | eng |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2021T16 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Demberg, Vera, Fatemeh Asr, and Merel Scholman. DiscAlign for Penn and RST Discourse Treebanks LDC2021T16. . Philadelphia: Linguistic Data Consortium, 2021. |
| Related Works: | View |
Introduction
DiscAlign for Penn and RST Discourse Treebanks was developed by Saarland University. It consists of alignment information for the discourse annotations contained in Penn Discourse Treebank Version 2.0 (LDC2008T05) (PDTB 2.0) and RST Discourse Treebank (LDC2002T07) (RST-DT). PDTB 2.0 and RST-DT annotations overlap for 385 newspaper articles in sections 6, 11, 13, 19 and 23 of the Wall Street Journal corpus contained in Treebank-2 (LDC95T7). DiscAlign for Penn and RST Discourse Treebanks contains approximately 6,700 alignments between PDTB 2.0 and RST-DT relations.
DiscAlign for Penn and RST Treebanks is available at no cost to all licensees of PDTB 2.0 and RST-DT and appears in their download queues associated with these corpora as DiscAlign_Penn_RST_DTB_LDC2021T16.zip.
Data
The alignment table is presented as a single UTF-8 encoded CSV file with each row representing a PDTB discourse relation that has been mapped with an RST relation from the RST-DT corpus. Table columns provide some basic information about the source relation extracted from PDTB, the target relation extracted from RST-DT, and the quality of the alignment between the two. See the included documentation for more details on the columns and the mapping procedure.
Samples
Please view this sample (TXT).
Updates
None at this time.