[EMNLP 2022] Salience Allocation as Guidance for Abstractive Summarization
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Updated
Dec 22, 2022 - Python
[EMNLP 2022] Salience Allocation as Guidance for Abstractive Summarization
Specific-Aspect Summarization on News According to Social Sentiments on Twitter
Code for CIKM 2022 paper "A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space".
In deep learning NLP, using a model we are trying to summarization the text.
Final Year Project
Code for WWW 2023 paper "HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization".
Report for INFO4900 Independent Research under Prof. Dawn Schrader. Surveyed bias detection and mitigation methods in language models. Identified emerging Language Model tasks where existing mechanisms fail. Designed a novel fairness test and proposed a framework to update large language models when what society considers fair changes.
A good performing digital news portal for the new generation.
Summarization Attack via Paraphrasing
Automatic Extractive Text Summarization Algorithm
Personalized knowledge graph summarization based on historical queries
A lightweight Extractive Summarization Formulation for the CNN Dataset
Automatic Extractive Text Summarization using TF-IDF Frequency Analysis. This is a Node.js web application using Express.js on the server side.
Horae is a graph stream summarization structure for efficient temporal range queries. Horae can deal with temporal queries with arbitrary and elastic range while guaranteeing one-sided and controllable errors. More to the point, Horae provides a worst query time of O(log L), where L is the length of query range. Hoare leverages multi-layer stora…
A small NLP SAAS project that summarize a webpage
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