curlyzhu Goto Github PK

amnesic_probing

arxivdigest-lite-public

lightweighted ArxivDigest revived from original code

attentionexplanation

awesome-qg

Question Generation Papers Collection.

awesome-relation-extraction

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

b-site

soft-forking from openbilibili/go-common

bert_score

BERT score for text generation

bist-parser

Graph-based and Transition-based dependency parsers based on BiLSTMs

cnn-dailymail

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)

go-common

听说这是来自 https://github.com/openbilibili/go-common/ 的 “哔哩哔哩bilibili网站后台工程源码”，不过咱也不知道这是啥。 据说 是他干的

libpku

贵校课程资料民间整理

ling566_latex

multirefeval

Code and Data for the paper Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References SIGdial 2019

openbili-go-commom

听说这是来自 https://github.com/openbilibili/go-common/ 的 “哔哩哔哩 bilibili 网站后台工程 源码”，不过咱也不知道这是啥。

pan-code

Code used for evaluation and baselines in the PAN shared tasks.

pkuautoelective

北大选课网补退选阶段自动选课小工具

plmpapers

Must-read Papers on pre-trained language models.

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

rl-tutorial-jnrr19

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

sentence-transformers

Sentence Embeddings with BERT & XLNet

sg-deep-question-generation

This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).

shiarthur03

taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

three-sentences-are-all-you-need

Codes for "Three Sentences Are All You Need: Local Path Enhanced DocumentRelation Extraction"

torchmoji

😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.