Jin Cheevaprawatdomrong — accepted AI-conference papers

2022

More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models

Jin Cheevaprawatdomrong, Alexandra Schofield, Attapol Rutherford

ACL 2022findings

Traditionally, Latent Dirichlet Allocation (LDA) ingests words in a collection of documents to discover their latent topics using word-document co-occurrences. Previous studies show that representing bigrams collocations in the input can improve topic coherence in English. However, it is unclear how…

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2020

Syllable-based Neural Thai Word Segmentation

Pattarawat Chormai, Ponrawee Prasertsom, Jin Cheevaprawatdomrong, Attapol Rutherford

COLING 2020main

Word segmentation is a challenging pre-processing step for Thai Natural Language Processing due to the lack of explicit word boundaries. The previous systems rely on powerful neural network architecture alone and ignore linguistic substructures of Thai words. We utilize the linguistic observation th…

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