Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
natural-language-inference
Languages:
English
Size:
1K - 10K
File size: 723 Bytes
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---
task_categories:
- text-classification
language:
- en
task_ids:
- natural-language-inference
---
https://github.com/atticusg/MoNLI
```
@inproceedings{geiger-etal-2020-neural,
address = {Online},
author = {Geiger, Atticus and Richardson, Kyle and Potts, Christopher},
booktitle = {Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP},
doi = {10.18653/v1/2020.blackboxnlp-1.16},
month = nov,
pages = {163--173},
publisher = {Association for Computational Linguistics},
title = {Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation},
url = {https://www.aclweb.org/anthology/2020.blackboxnlp-1.16},
year = {2020}}
``` |