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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。IE-Survey
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对信息抽取领域的调研。包括实体识别,关系抽取,属性抽取等子任务,每类子任务分别对学术界和工业界进行调研。COVID-19-tracker
北航大数据高精尖中心研究团队进行数据来源的整理与获取,利用自然语言处理等技术从已公开全国4626确诊患者轨迹中抽取了基本信息(性别、年龄、常住地、工作、武汉/湖北接触史等)、轨迹(时间、地点、交通工具、事件)及病患关系形成结构化信息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 NegativesCCL2022-DQAB
CCL2022 领域问答库构建测评Chinese-Pretrain-MRC-Model
KBQA-Survey
Recurrent_Interaction_Network_EMNLP2020
Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.ICLR2023_Gradient-Dissipation
Code and dataset for our paper "On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations", ICLR2023PIN_EMNLP2020
The code and data for EMNLP 2020 paper: Parallel Interactive Networks for Multi-Domain Dialogue State GenerationSIGKDD2023_Latent_Outlier_Softening
Code and dataset for our paper "Open-Set Semi-Supervised Text Classification with Latent Outlier Softening", SIGKDD2023NGCSE
Official implementation for the paper *Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model*ACL2022_MTMT
Pytorch implementation of "An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition"AAAI2021-Scalar-Embedding-of-Relative-Positions
Progressive_AAAI2021
Syntax-Encoding_EMNLP2018
AAAI2022-preconf_slide
AAAI2022预讲会PPTTEN_EMNLP2020
The code and data for the Findings of EMNLP 2020 paper: Neural Dialogue State Tracking with Temporally Expressive NetworksConZSL
The code and data for the paper "Prototype-Free Contrastive Learning for Generalized Zero-Shot Object Recognition (Under Review)".NDP_IJCAI2019
QA-Survey
CQA-Survey
WWW2021_USAL
Source code of the WWW2021 paper "Unsupervised Semantic Association Learning with Latent Label Inference".RepWalk_AAAI2020
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020AAAI2023_AWD
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nEM_EMNLP2019
UnderstandingCSE
Official Implementation of Paper *Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient*Generating-Chinese-Ci_AAAI2019
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