Hwee Tou Ng

One Million Sense-Tagged Instances for Word Sense Disambiguation and Induction

2015

Supervised word sense disambiguation (WSD) systems are usually the best performing systems when evaluated on standard benchmarks. However, these systems need annotated training data to function properly. While there are some publicly available open source …

The CoNLL-2013 Shared Task on Grammatical Error Correction

2025 · arXiv (Cornell University)

The CoNLL-2013 shared task was devoted to grammatical error correction. In this paper, we give the task definition, present the data sets, and describe the evaluation metric and scorer used in the shared task. We …

Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression

2015

Most of the current automated essay scoring (AES) systems are trained using manually graded essays from a specific prompt. These systems experience a drop in accuracy when used to grade an essay from a different …

Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains

2015

One of the weaknesses of current supervised word sense disambiguation (WSD) systems is that they only treat a word as a discrete entity. However, a continuous-space representation of words (word embeddings) can provide valuable information …

A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

We improve automatic correction of grammatical, orthographic, and collocation errors in text using a multilayer convolutional encoder-decoder neural network. The network is initialized with embeddings that make use of character N-gram information to better suit …

Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction

2020

A relation tuple consists of two entities and the relation between them, and often such tuples are found in unstructured text. There may be multiple relation tuples present in a text and they may share …

Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation

2022 · Findings of the Association for Computational Linguistics: ACL 2022

Document-level Relation Extraction (DocRE) is a more challenging task compared to its sentence-level counterpart. It aims to extract relations from multiple sentences at once. In this paper, we propose a semi-supervised framework for DocRE with …