Name: NJUNLP
Type: Organization
Bio: Natural Language Processing Research Group, Department of Computer Science and Technology, Nanjing University
Location: Computer Science Building, 163 Xianlin Avenue, Nanjing 210023, P.R. China
Blog: http://nlp.nju.edu.cn
NJUNLP's Projects
The implement of AAAI-23 paper "CoP: Factual Inconsistency Detection by Controlling the Preference"
Repo for ACL2023 paper "BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training"
A Fine-grained Domain Adaptation Dataset
Code and data for paper "Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction". Aspect opinion pair datasets and aspect triplet datasets.
Code for the EMNLP2023 main conference paper "IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems"
an easy-to-use knn-mt toolkit
The implement of "MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization"
Multi-Candidate Speculative Decoding
Code and data for ACM MM '23 paper “MORE: A Multimodal Object-Entity Relation Extraction Dataset with a Benchmark Evaluation”
This is a named entity recognizer based on pytorch-pretrained-bert.
An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.
NJUQE is an open-source toolkit to build machine translation quality estimation models.
Implementation of "Modeling Past and Future for Neural Machine Translation"
Linear decomposition toolkit for neural network.
Some reference solutions for the third problem of the NLP2018 in NJU CS.
The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily".
Implementation for our AAAI-23 paper "Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation".
The source code of the COLING 2020 paper "Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension".
Code for the NLPCC 2020 paper "Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis"
Code and data for "Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling" (NAACL2019)