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NUS NLP Group's Projects

allecs icon allecs

The official code of ALLECS: A Lightweight Language Error Correction System

amanda icon amanda

A Neural Reading Comprehension-based Question Answering System

cbprompt icon cbprompt

This repository contains the datasets, code, and scripts to conduct the analysis in paper Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting

corelm icon corelm

A Continuous Space Neural Network Language Model based on Theano

crosentgec icon crosentgec

Code for cross-sentence grammatical error correction using multilayer convolutional seq2seq models (ACL 2019)

cxm icon cxm

A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown Detection

esc icon esc

The official code of the "Frustratingly Easy System Combination for Grammatical Error Correction" paper

gec_ip icon gec_ip

System Combination for Grammatical Error Correction Based on Integer Programming

geccl icon geccl

Grammatical Error Correction with Contrastive Learning in Low Error Density Domains

gecmetrics icon gecmetrics

Code to evaluate the correlation of GEC metrics to human judgments.

greco icon greco

The official code for the "System Combination via Quality Estimation for Grammatical Error Correction" paper, published in EMNLP 2023.

lif icon lif

Learning to Identify Follow-up Questions in Conversational Question Answering

m2scorer icon m2scorer

MaxMatch (M^2) Scorer - Evaluation program for grammatical error correction systems.

mfa4re icon mfa4re

Code for modeling attention network for distant supervised relation extraction (CoNLL 2019).

mlconvgec2018 icon mlconvgec2018

Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).

namanda icon namanda

Nil-aware Reading Comprehension-based QA system

nea icon nea

Neural Essay Assessor: An Automated Essay Scoring System Based on Deep Neural Networks

neuqe icon neuqe

Neural quality estimation toolkit for grammatical error correction and other language generation applications.

paraphrasing-squad icon paraphrasing-squad

Datasets for the paper "Improving the Robustness of Question Answering Systems to Question Paraphrasing" (ACL 2019)

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