activity
20162022
most citedComparing heterogeneous entities using artificial neural networks of trainable weighted structural components and machine-learned activation functions

1 citations · 1 across the 2 of their papers we have counts for

collaborators

8 papers

cs.CL2022

Multilingual Search with Subword TF-IDF

Artit Wangperawong

Multilingual search can be achieved with subword tokenization. The accuracy of traditional TF-IDF approaches depend on manually curated tokenization, stop words and stemming rules,…

stat.ML2019

Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language Models

Xinyi Liu, Artit Wangperawong

This study compares the effectiveness and robustness of multi-class categorization of Amazon product data using transfer learning on pre-trained contextualized language models. Spe…

cs.CL2019

Question Generation by Transformers

Kettip Kriangchaivech, Artit Wangperawong

A machine learning model was developed to automatically generate questions from Wikipedia passages using transformers, an attention-based model eschewing the paradigm of existing r…

cs.LG2019

Multi-Label Product Categorization Using Multi-Modal Fusion Models

Pasawee Wirojwatanakul, Artit Wangperawong

In this study, we investigated multi-modal approaches using images, descriptions, and titles to categorize e-commerce products on Amazon. Specifically, we examined late fusion mode…

cs.CL2018

Attending to Mathematical Language with Transformers

Artit Wangperawong

Mathematical expressions were generated, evaluated and used to train neural network models based on the transformer architecture. The expressions and their targets were analyzed as…

q-fin.PM2018

A Collaborative Approach to Angel and Venture Capital Investment Recommendations

Xinyi Liu, Artit Wangperawong

Matrix factorization was used to generate investment recommendations for investors. An iterative conjugate gradient method was used to optimize the regularized squared-error loss f…