A Dataset for Thai text summarization from Thairath, ThaiPBS, Prachathai and The Standard with over 350,000 articles. Trained models are provided.

Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction

Automated Headline generation and Aspect Based Sentiment Analysis

A Bert2Bert model which able to generate headlines!

Codebase, data and models for the Headline Grouping paper at NAACL2021

A very simple repo for Text Classification, Sentiment Identification and Headline generator for Mobile tech. articles and tweets.

Code for the Churnalist headline generation system

News headline (title) generation using neural nets, trained on RIA dataset (russian lang)

Title and teaser generation for journalistic texts.

Improving GPT-J for snippet generation.

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.

Implementing Hidden MarkovModel to generate new text and complete sentences

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.

A parallel corpus of article-headline pairs obtained from Japanese Wikinews.

A user-friendly Python GUI application for performing Natural Language Processing (NLP) tasks like sentiment analysis, headline generation, and image generation. The app provides an intuitive interface built with Tkinter, integrating powerful APIs to handle text and image-based tasks.

Study Uses LLMs to craft accurate, engaging headlines from Reddit Posts

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).