TLDR — Extractive question answering is an important task for providing a good user experience in many applications. The popular Retriever-Reader framework for QA using BERT can be difficult to scale…
Build document-based question-answering systems using LangChain, Pinecone, LLMs like GPT-4, and semantic search for precise, context-aware AI solutions.
Recently I've had the privilege of working with colleagues at Lexis Nexis on a variety of projects in the area of artificial intelligence and natural language processing. So I am pleased to share with you the following paper, which has been accepted for presentation at the 16th International Conference on Artificial Intelligence and Law in…
C. Tahri, X. Tannier, and P. Haouat. Proceedings of the first Workshop on Information Extraction from Scientific Publications, page 67--77. Online, Association for Computational Linguistics, (November 2022)
N. Shao, Y. Cui, T. Liu, S. Wang, and G. Hu. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 7187--7192. Online, Association for Computational Linguistics, (November 2020)