Datasets:
Added reference paper
Browse files
README.md
CHANGED
|
@@ -38,7 +38,7 @@ configs:
|
|
| 38 |
---
|
| 39 |
# USAS Multilingual Word Sense Disambiguation Datasets
|
| 40 |
|
| 41 |
-
This contains the Multilingual Word Sense Disambiguation (WSD) evaluation datasets using the [UCREL Semantic Analysis System (USAS)](https://ucrel.lancs.ac.uk/usas/) sense inventory from the
|
| 42 |
|
| 43 |
|
| 44 |
All the evaluation data has either been manually tagged or has been manually checked.
|
|
@@ -191,11 +191,11 @@ To generate the tokens, POS, and predicted USAS tags we used [spaCy zh_core_web_
|
|
| 191 |
|
| 192 |
## Citation
|
| 193 |
|
| 194 |
-
Each dataset should be cited separately, but for reference all 4 datasets were used as evaluation datasets within
|
| 195 |
|
| 196 |
* English and Finnish - [Porting an English semantic tagger to the Finnish language by Löfberg et al. 2003](https://ucrel.lancs.ac.uk/publications/CL2003/papers/lofberg.pdf)
|
| 197 |
* Welsh - [Leveraging Pre-Trained Embeddings for Welsh Taggers by Ezeani et al. 2019](https://aclanthology.org/W19-4332/)
|
| 198 |
-
* Chinese -
|
| 199 |
|
| 200 |
## License
|
| 201 |
|
|
|
|
| 38 |
---
|
| 39 |
# USAS Multilingual Word Sense Disambiguation Datasets
|
| 40 |
|
| 41 |
+
This contains the Multilingual Word Sense Disambiguation (WSD) evaluation datasets, using the [UCREL Semantic Analysis System (USAS)](https://ucrel.lancs.ac.uk/usas/) sense inventory, from the paper; [Creating a Hybrid Rule and Neural Network Based Semantic Tagger using Silver Standard Data: the PyMUSAS framework for Multilingual Semantic Annotation](https://arxiv.org/abs/2601.09648). These evaluation datasets are a collection of **existing datasets**, apart from the Chinese datasets which was released with the [Creating a Hybrid Rule and Neural Network Based Semantic Tagger using Silver Standard Data: the PyMUSAS framework for Multilingual Semantic Annotation](https://arxiv.org/abs/2601.09648) paper.
|
| 42 |
|
| 43 |
|
| 44 |
All the evaluation data has either been manually tagged or has been manually checked.
|
|
|
|
| 191 |
|
| 192 |
## Citation
|
| 193 |
|
| 194 |
+
Each dataset should be cited separately, but for reference all 4 datasets were used as evaluation datasets within [Creating a Hybrid Rule and Neural Network Based Semantic Tagger using Silver Standard Data: the PyMUSAS framework for Multilingual Semantic Annotation](https://arxiv.org/abs/2601.09648) paper.
|
| 195 |
|
| 196 |
* English and Finnish - [Porting an English semantic tagger to the Finnish language by Löfberg et al. 2003](https://ucrel.lancs.ac.uk/publications/CL2003/papers/lofberg.pdf)
|
| 197 |
* Welsh - [Leveraging Pre-Trained Embeddings for Welsh Taggers by Ezeani et al. 2019](https://aclanthology.org/W19-4332/)
|
| 198 |
+
* Chinese - [Creating a Hybrid Rule and Neural Network Based Semantic Tagger using Silver Standard Data: the PyMUSAS framework for Multilingual Semantic Annotation](https://arxiv.org/abs/2601.09648).
|
| 199 |
|
| 200 |
## License
|
| 201 |
|