Search Results for author: AiTi Aw

Found 7 papers, 1 papers with code

NUT-RC: Noisy User-generated Text-oriented Reading Comprehension

1 code implementation COLING 2020 Rongtao Huang, Bowei Zou, Yu Hong, Wei zhang, AiTi Aw, Guodong Zhou

Most existing RC models are developed on formal datasets such as news articles and Wikipedia documents, which severely limit their performances when directly applied to the noisy and informal texts in social media.

Answer Selection Multi-Task Learning +1

GCDST: A Graph-based and Copy-augmented Multi-domain Dialogue State Tracking

no code implementations Findings of the Association for Computational Linguistics 2020 Peng Wu, Bowei Zou, Ridong Jiang, AiTi Aw

As an essential component of task-oriented dialogue systems, Dialogue State Tracking (DST) takes charge of estimating user intentions and requests in dialogue contexts and extracting substantial goals (states) from user utterances to help the downstream modules to determine the next actions of dialogue systems.

Dialogue State Tracking Multi-domain Dialogue State Tracking +1

Negative Focus Detection via Contextual Attention Mechanism

no code implementations IJCNLP 2019 Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw

For the sake of understanding a negated statement, it is critical to precisely detect the negative focus in context.

A Word Labeling Approach to Thai Sentence Boundary Detection and POS Tagging

no code implementations COLING 2016 Nina Zhou, AiTi Aw, Nattadaporn Lertcheva, Xuancong Wang

The results show that the word labelling approach has better performance than pre-vious space-based classification approaches and FCRF joint model outperforms LCRF model in terms of SBD in all experiments.

Boundary Detection Machine Translation +2

TaLAPi --- A Thai Linguistically Annotated Corpus for Language Processing

no code implementations LREC 2014 AiTi Aw, Sharifah Mahani Aljunied, Nattadaporn Lertcheva, Sasiwimon Kalunsima

To reduce the ambiguities in POS tagging and to provide rich information for facilitating Thai syntactic analysis, we adapted the POS tags used in ORCHID and propose a framework to tag Thai text and also addresses the tagging of loan and foreign words based on the proposed segmentation strategy.


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