97 citations · 114 across the 4 of their papers we have counts for
6 papers
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Ruidan He, Wee Sun Lee, Hwee Tou Ng +1
Aspect-based sentiment analysis produces a list of aspect terms and their corresponding sentiments for a natural language sentence. This task is usually done in a pipeline manner,…
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Shamil Chollampatt, Hwee Tou Ng
We improve automatic correction of grammatical, orthographic, and collocation errors in text using a multilayer convolutional encoder-decoder neural network. The network is initial…
A Question-Focused Multi-Factor Attention Network for Question Answering
Souvik Kundu, Hwee Tou Ng
Neural network models recently proposed for question answering (QA) primarily focus on capturing the passage-question relation. However, they have minimal capability to link releva…
A Dependency-Based Neural Reordering Model for Statistical Machine Translation
Christian Hadiwinoto, Hwee Tou Ng
In machine translation (MT) that involves translating between two languages with significant differences in word order, determining the correct word order of translated words is a…
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction
Duc Tam Hoang, Shamil Chollampatt, Hwee Tou Ng
Grammatical error correction (GEC) is the task of detecting and correcting grammatical errors in texts written by second language learners. The statistical machine translation (SMT…
Neural Network Translation Models for Grammatical Error Correction
Shamil Chollampatt, Kaveh Taghipour, Hwee Tou Ng
Phrase-based statistical machine translation (SMT) systems have previously been used for the task of grammatical error correction (GEC) to achieve state-of-the-art accuracy. The su…