b'Hwee Tou Ng'

research

∙ 06/16/2023

Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data

Relation extraction (RE) aims to extract relations from sentences and do...

0 Qingyu Tan, et al. ∙

research

∙ 06/15/2023

Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reasoning about time is of fundamental importance. Many facts are time-d...

0 Qingyu Tan, et al. ∙

research

∙ 06/11/2023

Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering

In this work, we study multi-source test-time model adaptation from user...

0 Hai Ye, et al. ∙

research

∙ 05/24/2023

Unlocking Temporal Question Answering for Large Language Models Using Code Execution

Large language models (LLMs) have made significant progress in natural l...

0 Xingxuan Li, et al. ∙

research

∙ 02/09/2023

Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study

A deployed question answering (QA) model can easily fail when the test d...

0 Hai Ye, et al. ∙

research

∙ 11/09/2022

Grammatical Error Correction: A Survey of the State of the Art

Grammatical Error Correction (GEC) is the task of automatically detectin...

0 Christopher Bryant, et al. ∙

research

∙ 05/25/2022

Revisiting DocRED – Addressing the Overlooked False Negative Problem in Relation Extraction

The DocRED dataset is one of the most popular and widely used benchmarks...

0 Qingyu Tan, et al. ∙

research

∙ 03/21/2022

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

Document-level Relation Extraction (DocRE) is a more challenging task co...

0 Qingyu Tan, et al. ∙

research

∙ 02/22/2022

A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues

Identifying breakdowns in ongoing dialogues helps to improve communicati...

0 Qian Lin, et al. ∙

research

∙ 11/02/2021

System Combination for Grammatical Error Correction Based on Integer Programming

In this paper, we propose a system combination method for grammatical er...

0 Ruixi Lin, et al. ∙

research

∙ 10/28/2021

Diversity-Driven Combination for Grammatical Error Correction

Grammatical error correction (GEC) is the task of detecting and correcti...

0 Wenjuan Han, et al. ∙

research

∙ 08/21/2021

A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents

Distantly supervised datasets for relation extraction mostly focus on se...

0 Tapas Nayak, et al. ∙

research

∙ 10/04/2020

A Survey of Unsupervised Dependency Parsing

Syntactic dependency parsing is an important task in natural language pr...

0 Wenjuan Han, et al. ∙

research

∙ 09/24/2020

Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification

Adapting pre-trained language models (PrLMs) (e.g., BERT) to new domains...

0 Hai Ye, et al. ∙

research

∙ 02/23/2020

Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?

Multi-hop question answering (QA) requires a model to retrieve and integ...

0 Yixuan Tang, et al. ∙

research

∙ 12/09/2019

Effective Attention Modeling for Neural Relation Extraction

Relation extraction is the task of determining the relation between two ...

0 Tapas Nayak, et al. ∙

research

∙ 11/22/2019

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

A relation tuple consists of two entities and the relation between them,...

0 Tapas Nayak, et al. ∙

research

∙ 10/01/2019

Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations

Contextualized word representations are able to give different represent...

0 Christian Hadiwinoto, et al. ∙

research

∙ 06/17/2019

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis produces a list of aspect terms and thei...

0 Ruidan He, et al. ∙

research

∙ 09/03/2018

Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification

We consider the cross-domain sentiment classification problem, where a s...

0 Ruidan He, et al. ∙

research

∙ 06/12/2018

Exploiting Document Knowledge for Aspect-level Sentiment Classification

Attention-based long short-term memory (LSTM) networks have proven to be...

0 Ruidan He, et al. ∙

research

∙ 05/04/2018

Upping the Ante: Towards a Better Benchmark for Chinese-to-English Machine Translation

There are many machine translation (MT) papers that propose novel approa...

0 Christian Hadiwinoto, et al. ∙

research

∙ 01/26/2018

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

We improve automatic correction of grammatical, orthographic, and colloc...

0 Shamil Chollampatt, et al. ∙

research

∙ 01/25/2018

A Question-Focused Multi-Factor Attention Network for Question Answering

Neural network models recently proposed for question answering (QA) prim...

0 Souvik Kundu, et al. ∙

research

∙ 02/15/2017

A Dependency-Based Neural Reordering Model for Statistical Machine Translation

In machine translation (MT) that involves translating between two langua...

0 Christian Hadiwinoto, et al. ∙

research

∙ 08/03/2016

To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation

Reordering poses a major challenge in machine translation (MT) between t...

0 Christian Hadiwinoto, et al. ∙

research

∙ 06/01/2016

Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction

Grammatical error correction (GEC) is the task of detecting and correcti...

0 Duc Tam Hoang, et al. ∙

research

∙ 06/01/2016

Neural Network Translation Models for Grammatical Error Correction

Phrase-based statistical machine translation (SMT) systems have previous...

0 Shamil Chollampatt, et al. ∙

research

∙ 01/23/2014

Improving Statistical Machine Translation for a Resource-Poor Language Using Related Resource-Rich Languages

We propose a novel language-independent approach for improving machine t...

0 Preslav Ivanov Nakov, et al. ∙

research

∙ 11/03/2010

A PDTB-Styled End-to-End Discourse Parser

We have developed a full discourse parser in the Penn Discourse Treebank...

0 Ziheng Lin, et al. ∙

Hwee Tou Ng

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