A production-ready 3.8B parameter language model optimized for zero-shot financial entity extraction. Validated on Indian banking syntax (HDFC, ICICI, SBI, Axis, Kotak) with 94.5% field accuracy.

Java + Spring Boot REST API for Information Extraction integrating Knowledge Graph , Sentiment Detection from documents using Stanford CoreNLP. Supports entity extraction (Person, Location, ...

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...

Knowledge graphs (KGs) have become a widely adopted standard for knowledge representation in the semantic web. Currently, significant efforts have been invested in constructing a KG with a primary ...

Abstract: Entity extraction and relational extraction are the essential parts of the information extraction task, with important theoretical significance and broad application prospects. In terms of ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

Abstract: Multimodal Object-Entity Relation Extraction (MORE) is an emerging task in information extraction, which aims to extract object-entity relational facts from text and image data. Despite ...

1 COSCO Shipping Technology Co., Ltd., Shanghai, China. 2 COSCO Shipping Specialized Carriers Co., Ltd., Guangzhou, China. In the international shipping industry, digital intelligence transformation ...