axle7xstriker / web-ner-challenge

Web-based Named Entity Recognition

Background

Named entity recognition (NER) is a very important and long-standing goal of the NLP community. In it, we attempt to identify and categorize "entities" from text so that we can use them for downstream processing such as argument attachment or event extraction.

Install & Run:

1. Compile using make install
2. Run using make start
3. Open http://localhost:5000 in your favourite web browser and ENJOY :)

Features:

• An intuitive UI.
• Text can be of any length.
• Recognizable Named Entities include: ORG (Organization), PRODUCT, GPE (Geo-Political Entity), LOC (Location), PERSON, NORP (Normal, Ordinary, Responsible Person), FAC, EVENT, LAW, LANGUAGE, WORK_OF_ART, DATE, TIME, MONEY, QUANTITY, ORDINAL, CARDINAL, PERCENT.
• If no named entities are found, return a "No entities found" message.
• Multiple ways for visualizing named-entities.