Instruction fine tuning BART for Dialogue Summarization | IT4772E | NLP Project 20232
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Updated
Jun 18, 2024 - Python
Instruction fine tuning BART for Dialogue Summarization | IT4772E | NLP Project 20232
For this project, I fine-tuned two separate models for three tasks: document summarization, dialogue summarization and text classification
Fine Tuning pegasus and flan-t5 pre-trained language model on dialogsum datasets for conversation summarization to to optimize context window in RAG-LLMs
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation
This repository explores enhancing dialogue summarization with commonsense knowledge through the SICK framework, evaluating models on dialogue datasets to assess commonsense's impact on summarization quality.
EMNLP 2022: ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization
Dialogue Summarization application hosted using AWS and CICD deployment with docker and FASTAPI. Model card created in HuggingFace and a deployed on HuggingFace Spaces.
[EMNLP 2023] FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. Support BART, PEGASUS, T5, mT5, BioBART, etc.
Small finetuned LLMs for a diverse set of useful tasks
A dataset focused on summarization of dialogs, which represents the rich domain of Twitter customer care conversations.
MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023
Code and dataset for our Bioinformatics 2022 paper: "A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets"
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