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Found 11 papers, 3 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.
More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models
Traditionally, Latent Dirichlet Allocation (LDA) ingests words in a collection of documents to discover their latent topics using word-document co-occurrences.
Syllable-based Neural Thai Word Segmentation
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.
AttaCut: A Fast and Accurate Neural Thai Word Segmenter
Word segmentation is a fundamental pre-processing step for Thai Natural Language Processing.
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Written on Leaves or in Stones?: Computational Evidence for the Era of Authorship of Old Thai Prose
We aim to provide computational evidence for the era of authorship of two important old Thai texts: Traiphumikatha and Pumratchatham.
A Systematic Study of Neural Discourse Models for Implicit Discourse Relation
Here, we propose neural network models that are based on feedforward and long-short term memory architecture and systematically study the effects of varying structures.
