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Hello there 👋

I am a PhD student at the Free University of Bozen-Bolzano. I work on the intersection of Natural Language Processing and Information Extraction, with a focus on extracting structured information from text in the E-commerce domain, i.e., I just like to train large models on huge datasets!

Publications

  • Kassem Sabeh, Mouna Kacimi, and Johann Gamper. 2023. GAVI: A Category-Aware Generative Approach for Brand Value Identification. In Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), pages 110–119, Online. Association for Computational Linguistics. [Paper], [Code], [Demo]
  • Kassem Sabeh, Mouna Kacimi, and Johann Gamper. "CAVE: Correcting Attribute Values in E-commerce Profiles." Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022. [Paper], [Code], [Datasets], [Demo], [Video]
  • Kassem Sabeh, Mouna Kacimi, and Johann Gamper. 2022. OpenBrand: Open Brand Value Extraction from Product Descriptions. In Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5), pages 161–170, Dublin, Ireland. Association for Computational Linguistics. [Paper], [Code], [Video]
  • Hassan Harb, Diana Abi Nader, Kassem Sabeh, and Abdallah Makhoul. "Real-Time Approach for Decision Making in IoT-Based Applications." In International Conference on Sensor Networks. 2022. [Paper]

Selected Projects

Project Description Tools

Contacts

Kassem's Projects

attention-caption-service icon attention-caption-service

This service is responsible for handling image captioning on image streams and the output is a vekg of each image.

attgen icon attgen

Code for "AtTGen: Attribute Tree Generation for Real-World Attribute Joint Extraction", ACL 2023

awesome-llms-fine-tuning icon awesome-llms-fine-tuning

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!

bert-attribute-value-extract icon bert-attribute-value-extract

A Pytorch implementation of "Scaling Up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title" (ACL 2019).

bert-caption icon bert-caption

Generate image captions using Attention models, and matches queries using BERT

cave-demo icon cave-demo

CAVE is a tool for attribute value correction, enrichment, and normalisation in E-commerce.

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gavi icon gavi

This repository contains the code to reproduce the results in the paper GAVI: A Category-Aware Generative Approach for Brand Value Identification.

llm-recipes icon llm-recipes

A set of notebooks to prompt, fine-tune, and train LLMs

open-brand icon open-brand

The dataset contains over 250k product brand-value annotations with more than 50k unique values across eight main categories of Amazon product profiles.

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