Public | Automated Build

Last pushed: a year ago
Short Description
RST-style discourse parser produces discourse tree structure on full-text level, given a raw text.
Full Description

Dockerfile for Discourse Parser

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Dockerfile for the RST-style Discourse Parser

DEVELOPERS

  • Vanessa Wei Feng
    Department of Computer Science
    University of Toronto
    Canada
    mailto:weifeng@cs.toronto.edu

REFERENCES

  • Vanessa Wei Feng and Graeme Hirst, 2014. Two-pass Discourse Segmentation with Pairing and Global Features. arXiv:1407.8215v1. http://arxiv.org/abs/1407.8215
  • Vanessa Wei Feng and Graeme Hirst, 2014. A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing. In Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-2014), Baltimore, USA. http://aclweb.org/anthology/P14-1048

GENERAL INFOMRATION

  • This RST-style discourse parser produces discourse tree structure on full-text level, given a raw text. No prior sentence splitting or any sort of preprocessing is expected. The program runs on Linux systems.
  • The overall software work flow is similar to the one described in our paper (ACL 2014). However, to guarantee further efficiency, we remove the post-editing component from the workflow, and remove the set of entity-based transaction features from our feature set. Moreover, both structure and relation classification models are now implemented using CRFSuite.

USAGE

git clone https://github.com/vrann/discourse-parser-docker.git
cd discourse-parser-docker
docker build .
docker run -i -t $container-id
cd gCRF_dist/tools/crfsuite
./crfsuite-stdin tag -pi -m ../../model/tree_build_set_CRF/label/intra.crfsuite test.txt
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vrann
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