Search Results for author:
Found 12 papers, 9 papers with code
Thai Nested Named Entity Recognition Corpus
Our work, to the best of our knowledge, presents the largest non-English N-NER dataset and the first non-English one with fine-grained classes.
Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble
Like many Natural Language Processing tasks, Thai word segmentation is domain-dependent.
Ranked #1 on
Thai Word Segmentation
on WS160
(using extra training data)
Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval
Cross-lingual Sentence Retrieval (CLSR) aims at retrieving parallel sentence pairs that are translations of each other from a multilingual set of comparable documents.
CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question Answering
A common approach to CL-ReQA is to create a multilingual sentence embedding space such that question-answer pairs across different languages are close to each other.
WangchanLion and WangchanX MRC Eval
Our model is based on SEA-LION and a collection of instruction following datasets.
An Efficient Self-Supervised Cross-View Training For Sentence Embedding
In this paper, we propose a framework called Self-supervised Cross-View Training (SCT) to narrow the performance gap between large and small PLMs.
Typo-Robust Representation Learning for Dense Retrieval
One of the main challenges of dense retrieval in real-world settings is the handling of queries containing misspelled words.
Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs
We also achieve comparable results to SOTA methods trained on scene scans on four tasks in NYUv2, SUNRGB-D, indoor ADE20k, and indoor/outdoor COCO, despite using lightweight CAD models or pseudo data.
Thai Wav2Vec2.0 with CommonVoice V8
However, most of these ASR models are available in English; only a minority of the models are available in Thai.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
WangchanBERTa: Pretraining transformer-based Thai Language Models
However, for a relatively low-resource language such as Thai, the choices of models are limited to training a BERT-based model based on a much smaller dataset or finetuning multi-lingual models, both of which yield suboptimal downstream performance.
scb-mt-en-th-2020: A Large English-Thai Parallel Corpus
The primary objective of our work is to build a large-scale English-Thai dataset for machine translation.
