qolina Goto Github PK

ace-preprocessing

acl2020-openqa-tutorial

ACL2020 Tutorial: Open-Domain Question Answering

agged

Modified code of (Ifrim, Snow14, EDT using aggressive filtering and hierarchical clustering)

allennlp

An open-source NLP research library, built on PyTorch.

androiddeveloperadvancedmanual

Android 工程师进阶手册（8 年 Android 开发者的成长感悟）

arglinking

Repository for ACL 2020 paper: "Multi-Sentence Argument Linking"

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-bert-nlp

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

awesome-nlg

A curated list of resources dedicated to Natural Language Generation (NLG)

awesome-qa

😎 A curated list of the Question Answering (QA)

awesome-scholarly-data-analysis

A curated collection of resources on scholarly data analysis ranging from datasets, papers, and code about bibliometrics, citation analysis, and other scholarly commons resources.

bert-kpe

bert-parscit

GitHub repo for BERT ParsCit

biu-rpi-event-extraction-project

ccfconf-nlp-dm

cec-corpus

:books:中文突发事件语料库（Chinese Emergency Corpus）-上海大学-语义智能实验室

chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese-xinhua

:orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。

codinginterviews

剑指Offer——名企面试官精讲典型编程题

corpus

自然语言处理，知识图谱相关语料。按照Task细分，欢迎PR。

dataaug4nlp

Collection of papers and resources for data augmentation for NLP.

dbed

Document-level Burstiness based Event Detection on Twitter

demo_llm

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dl3d-seminar

Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data

dl_eventextractionpapers

2015年以来基于深度学习方法的事件抽取论文整理

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

docre-rec

docred

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.