Texts

Instructional-DT (Instr-DT)

Instructional Discourse Treebank

Introduced in An effective Discourse Parser that uses Rich Linguistic Information2009

About this Dataset

This discourse treebank includes annotated instructional texts originally assembled at the Information Technology Research Institute, University of Brighton. This dataset contains 176 documents with an average of 32.6 EDUs for a total of 5744 EDUs and 53,250 words.

Dataset Variants

Instructional-DT (Instr-DT)

Papers1

An effective Discourse Parser that uses Rich Linguistic Information

The modified shift-reduce parsing model that uses the authors' relation classifier significantly outperforms a right-branching majority-class baseline and a statistically significant improvement in classifying relations over attribute-value learning paradigms such as Decision Trees, RIPPER and Naive Bayes.

Tasks

EDIT

Discourse Parsing

Similar Datasets

GLUE

MultiNLI

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Statistics

Papers

1

Tasks

32

Introduced

2009

Modalities

Texts

Languages

English