sanjaymeena/InformationExtractionSystem
Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.
This system helps you automatically break down complex text into its core components. You feed it raw text documents, and it identifies key entities, simplifies sentences, and extracts factual relationships between subjects, predicates, and objects. It's designed for researchers, analysts, or anyone who needs to quickly understand the main points and connections within large volumes of unstructured text.
No commits in the last 6 months.
Use this if you need to automatically extract facts, identify key entities, and simplify complex sentences from large amounts of textual data.
Not ideal if you need a lightweight tool for simple text processing or if your primary goal is to analyze sentiment or generate text.
Stars
27
Forks
9
Language
Erlang
License
Apache-2.0
Category
Last pushed
Apr 23, 2014
Commits (30d)
0
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