keyphrase-extraction

Minimal keyword extraction with BERT

Python Keyphrase Extraction module

An off-the-shelf tool for Chinese Keyphrase Extraction 一个快速从中文里抽取关键短语的工具，仅占35M内存

Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）

A Package of Keyphrase Extraction and Social Tag Suggestion, the project has moved to

An overview of the AI-as-a-service landscape

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

Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10

The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"

PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents

A keyphrase extractor for Persian

seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer

semantically distinct key phrase extraction using hilbert hashes.

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.

Detecting Trends in Job Advertisements

Kleis is a python package to label keyphrases in scientific text.

A Streamlit app to extract keywords using KeyBert

A Python package to get useful information from documents using TopicRank Algorithm.

Dataset and Source code of paper 'Enhancing Keyphrase Extraction from Academic Articles with their Reference Information'.

Automatic Keyphrase Extraction: A Survey of the State of the Art

Keyphrase Generation for Scientific Document Retrieval

Code for our EMNLP 2021 paper “Heterogeneous Graph Neural Networks for Keyphrase Generation”

Elasticsearch ingest processors using Amazon Comprehend for NLP analysis

Arabic Keyphrase Extraction Corpus

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.

Code for the paper "A comparative assessment of state-of-the-art methods for multilingual unsupervised keyphrase extraction"

PSLEGAL: An unsupervised way of legal catchphrase extraction

Preprocessed SemEval-2010 benchmark dataset for keyphrase extraction

Key phrases extraction and ranking in Python with support for POS (Part of Speech) and NER (Named Entities).

Keyphrases are words or short phrases that best describe a given input text document. The project uses BERT as a sentence embedder to better understand the context in a given sentence. The project makes use of cosine similarity to find the similarity between the document embedding and phrase embedding and rank them accordingly.