knowledge-extraction

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

Knowledge Extraction For Forms Accelerators & Examples

Interact with the Deep Search platform for new knowledge explorations and discoveries

A collection of resources on multimodal knowledge graph, including datasets, papers and contests.

A Paper List of Low-resource Information Extraction

[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.

A knowledge extraction tool that uses a large language model to extract semantic information from text

Though language model text embeddings have revolutionized NLP research, their ability to capture high-level semantic information, such as relations between entities in text, is limited. In this paper, we propose a novel contrastive learning framework that trains sentence embeddings to encode the relations in a graph structure. Given a sentence (unstructured text) and its graph, we use contrastive learning to impose relation-related structure on the token level representations of the sentence obtained with a CharacterBERT (El Boukkouri et al., 2020) model. The resulting relation-aware sentence embeddings achieve state-of-the-art results on the relation extraction task using only a simple KNN classifier, thereby demonstrating the success of the proposed method. Additional visualization by a tSNE analysis shows the effectiveness of the learned representation space compared to baselines. Furthermore, we show that we can learn a different space for named entity recognition, again using a contrastive learning objective, and demonstrate how to successfully combine both representation spaces in an entity-relation task.

Advanced Semantics for Commonsense Knowledge Extraction (WWW 2021)

General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems

[KDD 2020] This is the code repository for our KDD'20 paper STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.

Data Science & Machine Learning Project applied to Healthcare

Stateful AI Agent for Knowledge Extraction

GenAI Mind Map Flow Builder uses LLMs (OpenAI & Google Gemini) to generate intelligent mind maps from diverse sources like PDFs, SQL, CSVs, media, and websites. Built with FastAPI and ReactJS, it visualizes key ideas and relationships for data analysis and knowledge discovery.

Refined Commonsense Knowledge from Large-Scale Web Contents (TKDE 2022)

MLOne Powered by AIEdX. Machine Learning Course for Everyone. Tier1 Basic

Fuzzy Rule Interpolation-based Reinforcement Learning

A tool for automating CIDOC CRM knowledge graph population using Large Language Models (LLMs), with a focus on RDF triple extraction from archaeological datasets.