| | --- |
| | license: mit |
| | language: |
| | - en |
| | metrics: |
| | - f1 |
| | - accuracy |
| | base_model: |
| | - google-t5/t5-base |
| | library_name: transformers |
| | --- |
| | # Computational Analysis of Communicative Acts for Understanding Crisis News Comment Discourses |
| |
|
| | The official trained models for **"Computational Analysis of Communicative Acts for Understanding Crisis News Comment Discourses"**. |
| |
|
| | This model is based on **T5-base** and uses the **Compacter** ([Compacter: Efficient Low-Rank Adaptation for Transformer Models](https://arxiv.org/abs/2106.04647)) architecture. It has been fine-tuned on our **crisis narratives dataset**. |
| |
|
| | --- |
| |
|
| | ### Model Information |
| |
|
| | - **Architecture:** T5-base with Compacter |
| | - **Task:** Single-label classification for communicative act actions |
| | - **Classes:** |
| | - `informing statement` |
| | - `announcement` |
| | - `challenge` |
| | - `rejection` |
| | - `appreciation` |
| | - `request` |
| | - `question` |
| | - `acceptance` |
| | - `apology` |
| | - `evaluation` |
| | - `proposal` |
| | - `denial` |
| | - `admission` |
| |
|
| | --- |
| |
|
| | ### How to Use the Model |
| |
|
| | To use this model, you will need the original code from our paper, available here: |
| | [Acts in Crisis Narratives - GitHub Repository](https://github.com/Aalto-CRAI-CIS/Acts-in-crisis-narratives/tree/main/few_shot_learning/AdapterModel) |
| |
|
| | #### Steps to Load and Use the Fine-Tuned Model: |
| |
|
| | 1. Add your test task method to `seq2seq/data/task.py`, similar to other task methods. |
| | 2. Modify `adapter_inference.sh` to include your test task's information and this model's name, and then run it. |
| |
|
| | ```bash |
| | --model_name_or_path CrisisNarratives/adapter-13classes-single_label |
| | ``` |
| |
|
| | For detailed instructions, refer to the GitHub repository linked above. |
| |
|
| | --- |
| |
|
| | ### Citation |
| |
|
| | If you use this model in your work, please cite: |
| |
|
| | Paakki, H., Ghorbanpour, F. (2025). Computational Analysis of Communicative Acts for Understanding Crisis News Comment Discourses. In: Aiello, L.M., Chakraborty, T., Gaito, S. (eds) Social Networks Analysis and Mining. ASONAM 2024. Lecture Notes in Computer Science, vol 15212. Springer, Cham. https://doi.org/10.1007/978-3-031-78538-2_20 |
| | |
| | |
| | ### Questions or Feedback? |
| | |
| | For questions or feedback, please reach out via our [contact form](mailto:faezeghorbanpour96@example.com). |
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