| | --- |
| | language: san |
| | license: apache-2.0 |
| | tags: |
| | - dependency-parsing |
| | - nested-compound-type-identification |
| | - lstm |
| | - nlp |
| | - sanskrit |
| | - pytorch |
| | --- |
| | |
| | # DepNeCTI-LSTM: Dependency-based Nested Compound Type Identification for Sanskrit |
| |
|
| | This repository contains the **DepNeCTI-LSTM** model checkpoint and configuration files trained for nested compound type identification in Sanskrit using a dependency-based LSTM encoder. |
| |
|
| | --- |
| |
|
| | ## Model Details |
| |
|
| | - **Model type:** LSTM-based dependency parser |
| | - **Task:** Nested Compound Type Identification (NeCTI) in Sanskrit |
| | - **Architecture:** LSTM encoder with word, POS, and character embeddings |
| | - **Trained on:** DepNeCTI dataset (from [Sandhan et al., 2023](https://arxiv.org/abs/2310.09501)) |
| | - **Pretrained embeddings used:** FastText embeddings (cc.NeCTIS.300.txt) |
| | - **Framework:** PyTorch 1.13.0 |
| | - **CUDA version:** 11.7 |
| |
|
| | --- |
| |
|
| | ## Files |
| |
|
| | - `domain_san.pt` — Pretrained model state for the Domain-SAN model. |
| |
|
| | - `domain_san.arg.json` — JSON file containing model hyperparameters and configuration settings. |
| |
|
| | - `README.md` — Instructions for setup, usage, and reproduction of results. |
| |
|
| | - `requirements.txt` — List of Python dependencies required to run the model. |
| |
|
| | - `LICENSE` — Apache License 2.0 — grants broad usage rights with conditions for attribution and inclusion of the license when redistributing. |
| |
|
| | --- |
| |
|
| | ## Usage |
| |
|
| | This model and arguments(json format) were obtained after running the training script. To reproduce the model in accordance to your needs refer to the [original paper](http://arxiv.org/abs/2310.09501) |
| |
|
| |
|
| | # Paper |
| | ``` |
| | @misc{sandhan2023depnecti, |
| | title={DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit}, |
| | author={Jivnesh Sandhan and Yaswanth Narsupalli and Sreevatsa Muppirala and Sriram Krishnan and Pavankumar Satuluri and Amba Kulkarni and Pawan Goyal}, |
| | year={2023}, |
| | eprint={2310.09501}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CL} |
| | } |
| | ``` |
| | Original paper [DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit](http://arxiv.org/abs/2310.09501) |
| |
|
| | Github Repository of [DepNeCTI](https://github.com/yaswanth-iitkgp/DepNeCTI) |
| |
|
