A Dataset for Thai text summarization from Thairath, ThaiPBS, Prachathai and The Standard with over 350,000 articles. Trained models are provided.
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Updated
Apr 25, 2024 - Jupyter Notebook
A Dataset for Thai text summarization from Thairath, ThaiPBS, Prachathai and The Standard with over 350,000 articles. Trained models are provided.
Automated Headline generation and Aspect Based Sentiment Analysis
A very simple repo for Text Classification, Sentiment Identification and Headline generator for Mobile tech. articles and tweets.
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
News headline (title) generation using neural nets, trained on RIA dataset (russian lang)
Scraping tweets and articles from news twitter handles. Can be used for teaser generation and news headline generation.
Production http server for our finetuned gpt-j model gptj-title-teaser-10k.
Codebase, data and models for the Headline Grouping paper at NAACL2021
Improving GPT-J for snippet generation.
A Bert2Bert model which able to generate headlines!
Code for the Churnalist headline generation system
Study Uses LLMs to craft accurate, engaging headlines from Reddit Posts
Title and teaser generation for journalistic texts.
This is the official repository contains the code, data, and models of the paper titled "Shironaam: Bengali News Headline Generation using Auxiliary Information", accepted for publication in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL’23), May 2-6, 2023.
Implementing Hidden MarkovModel to generate new text and complete sentences
A parallel corpus of article-headline pairs obtained from Japanese Wikinews.
This is the official repository contains the code, data, and models of the paper titled "XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags", accepted for publication in Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL’24).
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