Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
tags:
|
5 |
+
- retrieval
|
6 |
+
- math-retrieval
|
7 |
+
datasets:
|
8 |
+
- MathematicalStackExchange
|
9 |
+
---
|
10 |
+
|
11 |
+
# Math-aware ALBERT
|
12 |
+
|
13 |
+
This repository contains our best *base* model for ARQMath 3. It was initialised from ALBERT-base-v2 and further pre-trained on Math StackExchange in three different stages. We also added more LaTeX tokens to the tokenizer to enable a better tokenization of mathematical formulas. This model is not yet fine-tuned on a specific task. If you are looking for the fine-tuned model, please refer to this page: [AnReu/albert-for-arqmath-3](https://huggingface.co/AnReu/albert-for-arqmath-3)
|
14 |
+
For further details, please read our paper: http://ceur-ws.org/Vol-3180/paper-07.pdf.
|
15 |
+
|
16 |
+
# Usage
|
17 |
+
|
18 |
+
You can use this model to further fine-tune it on any math-aware task you have in mind, e.g., classification, question-answering, etc. . Please note, that the model in this repository is only pre-trained and not fine-tuned. If you are looking for the fine-tuned model, please refer to this page: [AnReu/albert-for-arqmath-3](https://huggingface.co/AnReu/albert-for-arqmath-3)
|
19 |
+
|
20 |
+
|
21 |
+
# Citation
|
22 |
+
|
23 |
+
If you find this model useful, consider citing our paper:
|
24 |
+
```
|
25 |
+
@article{reusch2022transformer,
|
26 |
+
title={Transformer-Encoder and Decoder Models for Questions on Math},
|
27 |
+
author={Reusch, Anja and Thiele, Maik and Lehner, Wolfgang},
|
28 |
+
year={2022},
|
29 |
+
organization={CLEF}
|
30 |
+
}
|
31 |
+
```
|