BDBC KG&NLP's repositories
QA-Survey-CN
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TableQA)、基于视觉的问答系统(VisualQA)和机器阅读理解(MRC)等,每类任务分别对学术界和工业界进行了相关总结。
AAAI2022_ContrastNet
code and data for AAAI2022 paper "ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification"
MixCSE_AAAI2022
Code for AAAI 2022 paper Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives
Covolution_over_Dependency_Tree_EMNLP2019
Here is the code for the paper ``Aspect-Level Sentiment Analysis via Convolution over Dependency Tree'' accepted by EMNLP2019.
CCL2022-DQAB
CCL2022 领域问答库构建测评
Recurrent_Interaction_Network_EMNLP2020
Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.
ACL2022_MTMT
Pytorch implementation of "An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition"
ICLR2023_Gradient-Dissipation
Code and dataset for our paper "On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations", ICLR2023
PIN_EMNLP2020
The code and data for EMNLP 2020 paper: Parallel Interactive Networks for Multi-Domain Dialogue State Generation
SIGKDD2023_Latent_Outlier_Softening
Code and dataset for our paper "Open-Set Semi-Supervised Text Classification with Latent Outlier Softening", SIGKDD2023
AAAI2022-preconf_slide
AAAI2022预讲会PPT
TEN_EMNLP2020
The code and data for the Findings of EMNLP 2020 paper: Neural Dialogue State Tracking with Temporally Expressive Networks
AAAI2019-preconf_slide_poster
由中文信息学会青年工作委员会主办,北航大数据科学与脑机智能高精尖创新中心承办的 AAAI-19 预讲会相关资源现整理开放,欢迎大家关注使用
RepWalk_AAAI2020
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
WWW2021_USAL
Source code of the WWW2021 paper "Unsupervised Semantic Association Learning with Latent Label Inference".
AMP_CVPR2021
Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
AMT-SIT_WWW2020
Code and dataset for our paper "Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification", WWW2020
APVA_COLING2018
The code and data for COLING 2018 paper: The APVA-TURBO Approach To Question Answering in Knowledge Base
UnderstandingCSE
Official Implementation of Paper *Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient*