Papers by Wazir Ali

2 papers
SiNER: A Large Dataset for Sindhi Named Entity Recognition (2020.lrec-1)

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Challenge: Named entity recognition is an essential lower-level task in natural language processing (NLP).
Approach: They propose to develop a named entity recognition dataset for low-resourced Sindhi language with quality baselines.
Outcome: The proposed dataset is likely to be a significant resource for statistical Sindhi language processing.
An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering (2020.acl-main)

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Challenge: Existing approaches to cluster short text streams exploit short text in a batch way, but determine optimal batch size is difficult since we have no priori knowledge when the topics evolve.
Approach: They propose an online Semantic-enhanced Dirichlet Model for short sext stream clustering which integrates the word-occurance semantic information into a new graphical model and clusters each arriving short text automatically in an online way.
Outcome: The proposed model has better performance than state-of-the-art models on synthetic and real-world data sets.

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