Codebase for the ACL 2023 paper: "Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data"
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Updated
Jul 6, 2024 - Python
Codebase for the ACL 2023 paper: "Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data"
ALexi, EXtracteur d'Information
WebDiver is a versatile Python script for crawling websites, extracting internal and external links, titles, and descriptions. It's useful for tasks such as web analysis, OSINT (Open Source Intelligence) gathering, and competitive analysis.
Python API for Phishtank Lookup
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
Large suite of N-body simulations
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
An app that leverages LLMs to process documents, extract relevant information and provide a summary specific to financial data
Implementation of REA Prompting for Generative Relation Extraction with LLMs
AIL framework - Analysis Information Leak framework
Medical Concept Annotation Tool
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
🕵️♂️ An OSINT python tool to find professional email addresses of a business from its domain.
Maintenance Information Extraction (MaintIE)
Versatile framework designed to streamline the integration of your models, as well as those sourced from Hugging Face, into complex programs
TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition [NAACL 2024]
Human Names for Synthetic Data Generation
PyTorch-IE: State-of-the-art Information Extraction in PyTorch
Extensible API and framework to build your Retrieval Augmented Generation (RAG) and Information Extraction (IE) applications with LLMs
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