AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models

A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

北航大数据高精尖中心研究张日崇团队对问答系统的调研。包括知识图谱问答系统（KBQA）和文本问答系统（TextQA），每类系统分别对学术界和工业界进行调研。

Source code of the WWW2021 paper "Unsupervised Semantic Association Learning with Latent Label Inference".

These are praat scripts I use in my research, implemented in parselmouth for python for use in binder

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。

行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍

Developed using C++ by team 端茶倒水 in BIT

Converter from XML SemEval 2016 and 2017 English Task 3, Subtask B datasets to JSON

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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A daemon to maintain a high-quality HTTP proxy pool