Update README.md
Browse files
README.md
CHANGED
|
@@ -39,11 +39,8 @@ Showing the **confusion matrix** using the 20% of the sentences as an evaluation
|
|
| 39 |
|
| 40 |
**Intended Uses & Potential Limitations**
|
| 41 |
|
| 42 |
-
The model can be a practical starting point to the complex topic **Argument Mining**. It is a quite challenging task due to the different conceptions of an argument.
|
| 43 |
-
|
| 44 |
-
This model is a part of an open-source project providing several models to detect arguments in text.
|
| 45 |
-
👉🏾 Check out _chkla/argument-analyzer/_ for more details.
|
| 46 |
|
| 47 |
Enjoy and stay tuned! 🚀
|
| 48 |
|
| 49 |
-
📚Stab et al. (2018) https://public.ukp.informatik.tu-darmstadt.de/UKP_Webpage/publications/2018/2018_EMNLP_CS_Cross-topicArgumentMining.pdf
|
|
|
|
| 39 |
|
| 40 |
**Intended Uses & Potential Limitations**
|
| 41 |
|
| 42 |
+
The model can be a practical starting point to the complex topic **Argument Mining**. It is a quite challenging task due to the different conceptions of an argument.
|
|
|
|
|
|
|
|
|
|
| 43 |
|
| 44 |
Enjoy and stay tuned! 🚀
|
| 45 |
|
| 46 |
+
📚Stab et al. (2018): Cross-topic Argument Mining from Heterogeneous Sources. Link: https://public.ukp.informatik.tu-darmstadt.de/UKP_Webpage/publications/2018/2018_EMNLP_CS_Cross-topicArgumentMining.pdf.
|