Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
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Updated
Jun 6, 2017 - Python
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
A Text summarizer application which summarizes the given para.
Customer Feedback and Sentiment Analysis
Sequence-to-Sequence Deep Learning approach to text summarization
Generates relevant prerequisites for the given Wikipedia page.
A writer that can generate news after a game using live texts.
It measures readability of a written document, and helps to shorten a long written document and to extract key words
文本摘要 + TextRank4 + docker
Predictive Data Analysis & Text Summarization Using Machine Learning. ACM-VIT Recruitment Task Submission
FastAPI backend for ML-Apps, a collection of text-summarization, caption-generation and cartoonization services.
Flask frontend for ML-Apps, a collection of text-summarization, caption-generation and cartoonization services.
Automated document merging and extractive summarization to take in a search query and provide a crisp version of the news article from over 5 reputed sources. Supported in various languages
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.
various ways to summarise text using the libraries available for Python: pyteaser, sumy, gensim, pytldr, XLNET, BERT, and GPT2.
Text Summarization using NLP techniques
Atomically Newspaper Scrapping Using Beautiful Soup. Only three Categories of news are scraped including national, international and latest. News Summarization, Text Classification, Sentimental Analysis, WordCloud and many more NLP stuff is included.
Using Spacy and NLTK module with Tf-Idf algorithm for text-summarisation. This code will give you the summary of inputted article. You can input text directly or from .txt file, .pdf file or from wikipedia url.
LongT5-based model pre-trained on a large amount of unlabeled Vietnamese news texts and fine-tuned with ViMS and VMDS collections
Document based ChatGPT
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