Final Year Project

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.

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.

In deep learning NLP, using a model we are trying to summarization the text.

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…

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".

[EMNLP 2022] Salience Allocation as Guidance for Abstractive Summarization

A good performing digital news portal for the new generation.

Summarization Attack via Paraphrasing

Code for WWW 2023 paper "HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization".

Extractive Text Summarization using T5 model

Automatic Extractive Text Summarization Algorithm

A small NLP SAAS project that summarize a webpage

Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.