zhangjianzhang Goto Github PK

ake-datasets

Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.

automatickeyphraseextraction

Data for Automatic Keyphrase Extraction Task

autophrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

bert-kpe

bmcourse

The repo for Tsinghua summer course: Interdisciplinary Seminar on Big Models

business_analysis

《商务数据分析实战》课程网站

cdkgen

chatgpt4reir_eval

The experiment materials for evaluating ChatGPT on requirements information tasks.

data_science_intro

数据科学导论课程网站

easy-graph

EasyGraph is an open source graph processing library, which covers advanced graph processing methods in structural hole spanners detection, graph embedding and several classic methods.

intelligent_business

智能商业导论课程网站

internet_credit

keyword-extraction-datasets

keyword-extraction-datasets-1

Different datasets for developing and testing keyword extraction algorithms

kg_one2set

Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

maui

ml4se

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nsfc-application-template-latex

国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

openkp

Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural model with key phrase extraction on open domains we have created OpenKP: a dataset of over 150,000 documents with the most relevant keyphrases generated by expert annotation.

opennmt-kpg-release

Keyphrase Generation

pctd

pdf2bib

A python library/command-line tool to quickly and automatically generate BibTeX data starting from the pdf file of a scientific publication.

pegasus

pke

Python Keyphrase Extraction module

privacy_policy_analysis

privacy_re_gap

programming_basics

程序设计基础课程网站

pyclustering

pyclustring is a Python, C++ data mining library.

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.