vrann/discourse-parser-docker repository overview

⁠Dockerfile for Discourse Parser

========================== Dockerfile for the RST-style Discourse Parser

⁠DEVELOPERS

• Vanessa Wei Feng Department of Computer Science University of Toronto Canada mailto:[email protected]⁠

⁠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