File size: 1,340 Bytes
33d59f7
c98208a
8f53ade
 
33d59f7
74ab5eb
c0db22b
74ab5eb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a472e35
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
---
pipeline_tag: fill-mask
widget:
 - text: "đậu xanh rau <mask>"
---
# <a name="introduction"></a> ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing (EMNLP 2023 - Main)
**Disclaimer**: The model contains actual comments on social networks that might be construed as abusive, offensive, or obscene.

ViSoBERT is the state-of-the-art language model for Vietnamese social media tasks:

 - ViSoBERT is the first monolingual MLM (XLM-R architecture) from scratch specifically for Vietnamese social media text.
 - ViSoBERT outperforms previous monolingual, multilingual, and multilingual social media approaches, obtaining new state-of-the-art performances on four downstream Vietnamese social media tasks.

The general architecture and experimental results of ViSoBERT can be found in our [paper](https://openreview.net/forum?id=gqkg54QNDY):

    @inproceedings{
    anonymous2023plmvismt,
    title={{PLM}4Vi{SMT}: A Pre-Trained Language Model for Vietnamese Social Media Text Processing},
    author={Anonymous},
    booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
    year={2023},
    url={https://openreview.net/forum?id=gqkg54QNDY}
    }
    

**Please CITE** our paper when ViSoBERT is used to help produce published results or is incorporated into other software.