Discourse Segmentation & RST-Parsing on CPU
992
Containerized DMRST_Parser utilizing the CPU, wrapped in a Python API. The parser supports English, Portuguese, Spanish, German, Dutch, Basque inputs.
Note that this model is distributed by the authors for research use only.
For .rs3-output, use this:
docker pull psandhaas/dmrst-parser:latest
docker run -p 8000:8000 dmrst-api
import requests
resp = requests.post(
"http://localhost:8000/parse",
json={"sentences": "This is a test sentence."}
)
print(resp.json())
(See http://localhost:8000/docs for API-schema)
title = "{DMRST}: A Joint Framework for Document-Level Multilingual {RST} Discourse Segmentation and Parsing",
author = "Liu, Zhengyuan and Shi, Ke and Chen, Nancy",
booktitle = "Proceedings of the 2nd Workshop on Computational Approaches to Discourse",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic and Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.codi-main.15",
pages = "154--164",
}
@inproceedings{liu2020multilingual,
title={Multilingual Neural RST Discourse Parsing},
author={Liu, Zhengyuan and Shi, Ke and Chen, Nancy},
booktitle={Proceedings of the 28th International Conference on Computational Linguistics},
pages={6730--6738},
year={2020}
}
Content type
Image
Digest
sha256:50baad173…
Size
1.8 GB
Last updated
about 1 year ago
docker pull psandhaas/dmrst-parser