Billy Chiu
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View article: Syllable based DNN-HMM Cantonese Speech to Text System
Syllable based DNN-HMM Cantonese Speech to Text System Open
This paper reports our work on building up a Cantonese Speech-to-Text (STT) system with a syllable based acoustic model. This is a part of an effort in building a STT system to aid dyslexic students who have cognitive deficiency in writing…
View article: Word embeddings for biomedical natural language processing: A survey
Word embeddings for biomedical natural language processing: A survey Open
Word representations are mathematical objects that capture the semantic and syntactic properties of words in a way that is interpretable by machines. Recently, encoding word properties into low‐dimensional vector spaces using neural networ…
View article: Relation Extraction with Self-determined Graph Convolutional Network
Relation Extraction with Self-determined Graph Convolutional Network Open
Relation Extraction is a way of obtaining the semantic relationship between entities in text. The state-of-the-art methods use linguistic tools to build a graph for the text in which the entities appear and then a Graph Convolutional Netwo…
View article: Autoencoding Keyword Correlation Graph for Document Clustering
Autoencoding Keyword Correlation Graph for Document Clustering Open
Document clustering requires a deep understanding of the complex structure of long-text; in particular, the intra-sentential (local) and inter-sentential features (global). Existing representation learning models do not fully capture these…
View article: Enhancing biomedical word embeddings by retrofitting to verb clusters
Enhancing biomedical word embeddings by retrofitting to verb clusters Open
Verbs play a fundamental role in many biomedical tasks and applications such as relation and event extraction. We hypothesize that performance on many downstream tasks can be improved by aligning the input pretrained embeddings according t…
View article: Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP Open
The quality of word representations is frequently assessed using correlation with human judgements of word similarity.Here, we question whether such intrinsic evaluation can predict the merits of the representations for downstream tasks.We…
View article: How to Train good Word Embeddings for Biomedical NLP
How to Train good Word Embeddings for Biomedical NLP Open
The quality of word embeddings depends on the input corpora, model architectures, and hyper-parameter settings.Using the state-of-the-art neural embedding tool word2vec and both intrinsic and extrinsic evaluations, we present a comprehensi…
View article: Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance
Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance Open
The quality of word representations is frequently assessed using correlation with human judgements of word similarity.Here, we question whether such intrinsic evaluation can predict the merits of the representations for downstream tasks.We…