Search Results for author: Jinhua Du

Found 9 papers, 0 papers with code

Pointing to Select: A Fast Pointer-LSTM for Long Text Classification

no code implementations COLING 2020 Jinhua Du, Yan Huang, Karo Moilanen

Recurrent neural networks (RNNs) suffer from well-known limitations and complications which include slow inference and vanishing gradients when processing long sequences in text classification.

Text Classification

Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction

no code implementations IJCNLP 2019 Yuyun Huang, Jinhua Du

Distance supervision is widely used in relation extraction tasks, particularly when large-scale manual annotations are virtually impossible to conduct.

Relation Extraction

Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction

no code implementations EMNLP 2018 Jinhua Du, Jingguang Han, Andy Way, Dadong Wan

Targeting the MIL issue, the structured sentence-level attention learns a 2-D matrix where each row vector represents a weight distribution on selection of different valid in-stances.

Relation Extraction

NextGen AML: Distributed Deep Learning based Language Technologies to Augment Anti Money Laundering Investigation

no code implementations ACL 2018 Jingguang Han, Utsab Barman, Jeremiah Hayes, Jinhua Du, Edward Burgin, Dadong Wan

Most of the current anti money laundering (AML) systems, using handcrafted rules, are heavily reliant on existing structured databases, which are not capable of effectively and efficiently identifying hidden and complex ML activities, especially those with dynamic and time-varying characteristics, resulting in a high percentage of false positives.

Decision Making Entity Linking +2

Semantics-Enhanced Task-Oriented Dialogue Translation: A Case Study on Hotel Booking

no code implementations IJCNLP 2017 Long-Yue Wang, Jinhua Du, Liangyou Li, Zhaopeng Tu, Andy Way, Qun Liu

We showcase TODAY, a semantics-enhanced task-oriented dialogue translation system, whose novelties are: (i) task-oriented named entity (NE) definition and a hybrid strategy for NE recognition and translation; and (ii) a novel grounded semantic method for dialogue understanding and task-order management.

Dialogue Understanding Machine Translation +2

ProphetMT: A Tree-based SMT-driven Controlled Language Authoring/Post-Editing Tool

no code implementations LREC 2016 Xiaofeng Wu, Jinhua Du, Qun Liu, Andy Way

This paper presents ProphetMT, a tree-based SMT-driven Controlled Language (CL) authoring and post-editing tool.


Using BabelNet to Improve OOV Coverage in SMT

no code implementations LREC 2016 Jinhua Du, Andy Way, Andrzej Zydron

Out-of-vocabulary words (OOVs) are a ubiquitous and difficult problem in statistical machine translation (SMT).

Domain Adaptation Machine Translation +1

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