Dat Quoc Nguyen

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

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Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)

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A fast and accurate POS and morphological tagging toolkit (EACL 2014)

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A Fast and Accurate Vietnamese Word Segmenter (LREC 2018)

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STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)

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A Java package for the LDA and DMM topic models

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Tokenization, sentence segmentation, POS tagging and dependency parsing for biomedical texts (BMC Bioinformatics 2019)

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End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

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Pre-trained Word2Vec syllable- and word-level embeddings for Vietnamese

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VnDT: A Vietnamese Dependency Treebank

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