Search Results for author: Peerapon Vateekul

Found 6 papers, 1 papers with code

Label-Aware Automatic Verbalizer for Few-Shot Text Classification

no code implementations19 Oct 2023 Thanakorn Thaminkaew, Piyawat Lertvittayakumjorn, Peerapon Vateekul

Specifically, we use the manual labels along with the conjunction "and" to induce the model to generate more effective words for the verbalizer.

Few-Shot Text Classification Language Modelling +1

ESRA: Explainable Scientific Research Assistant

no code implementations ACL 2021 Pollawat Hongwimol, Peeranuth Kehasukcharoen, Pasit Laohawarutchai, Piyawat Lertvittayakumjorn, Aik Beng Ng, Zhangsheng Lai, Timothy Liu, Peerapon Vateekul

We introduce Explainable Scientific Research Assistant (ESRA), a literature discovery platform that augments search results with relevant details and explanations, aiding users in understanding more about their queries and the returned papers beyond existing literature search systems.

Rational LAMOL: A Rationale-based Lifelong Learning Framework

1 code implementation ACL 2021 Kasidis Kanwatchara, Thanapapas Horsuwan, Piyawat Lertvittayakumjorn, Boonserm Kijsirikul, Peerapon Vateekul

Lifelong learning (LL) aims to train a neural network on a stream of tasks while retaining knowledge from previous tasks.

A Comparative Study of Pretrained Language Models on Thai Social Text Categorization

no code implementations3 Dec 2019 Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul

The ever-growing volume of data of user-generated content on social media provides a nearly unlimited corpus of unlabeled data even in languages where resources are scarce.

General Classification Language Modelling +1

Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations

no code implementations4 Aug 2019 Chanatip Saetia, Ekapol Chuangsuwanich, Tawunrat Chalothorn, Peerapon Vateekul

In the Thai sentence segmentation experiments, our model reduced the relative error by 7. 4% and 10. 5% compared with the baseline models on the Orchid and UGWC datasets, respectively.

Sentence Sentence segmentation

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