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Paper: http://www.aclweb.org/anthology/S16-1174
Website: http://alt.qcri.org/semeval2016/task5/
ABSA dataset: https://drive.google.com/open?id=1TBkw8M53tqqV6v_7JHQCn6qq5l6CAhEV
CoNLL format: http://universaldependencies.org/format.html
Tagger: https://github.com/achernodub/bilstm-cnn-crf-tagger
For the beginning just try running example datasets from this repository. Then format the SemEval ABSA dataset in this format and train a model.
The text was updated successfully, but these errors were encountered:
Could you tell me the name of the Python package I should use for training the models etc.?
Sorry, something went wrong.
https://github.com/achernodub/bilstm-cnn-crf-tagger
if you need to install with pip:
pip install git+ https://github.com/achernodub/bilstm-cnn-crf-tagger
about the tagger and its model: _2018_Grammarly_v15_preFinal_05.pdf
Doesn't seem to fit our project. Closed for now.
ChulioZ
No branches or pull requests
Step 1. Prepare a dataset with the OTE annotations in the CoNLL format. SemEval data:
Paper:
http://www.aclweb.org/anthology/S16-1174
Website:
http://alt.qcri.org/semeval2016/task5/
ABSA dataset:
https://drive.google.com/open?id=1TBkw8M53tqqV6v_7JHQCn6qq5l6CAhEV
CoNLL format:
http://universaldependencies.org/format.html
Step 2. Train a classifier to detect OTE in text
Tagger:
https://github.com/achernodub/bilstm-cnn-crf-tagger
For the beginning just try running example datasets from this repository. Then format the SemEval ABSA dataset in this format and train a model.
The text was updated successfully, but these errors were encountered: