Named entity recognition using AI-NLP
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2019, Vol 5, Issue 11
Abstract
Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), which involves identifying and categorizing named entities in unstructured text data. In recent years, deep learning-based approaches such as Long Short-Term Memory (LSTM) and Conditional Random Fields (CRF) have shown impressive performance in NER. Furthermore, word embeddings have also become a popular method for representing words in NLP tasks. In this paper, we propose a comprehensive review of recent advances in NER using AI-NLP techniques, specifically LSTM, CRF, and word embeddings. We discuss the underlying principles of these techniques and their advantages in NER. We also present a comparative analysis of these approaches on benchmark datasets and highlight their strengths and weaknesses. Furthermore, we discuss some of the key challenges in NER, such as handling rare and unknown entities, and explore potential solutions using these techniques. Overall, this paper provides a comprehensive overview of NER using AI-NLP with LSTM, CRF, and word embeddings
Authors and Affiliations
Pakkurthi Sai Anudeep and Dr. K Sasikala
Keywords
Related Articles
- EP ID EP755471
- DOI -
- Views 16
- Downloads 0
Optimizing Disposal Efficiency Through Sensor-Based Automatic Dumping
Now a days with the increase in the population of India one issue which comes as a repercussion is the generation of waste. The project involves building a smart bin using an Arduino Uno board as the microcontroller-base...
Integrated Standalone Wind and Solar to Electric Vehicle Technology with Battery Microgrids in DC Fast Charging Architecture for Sustainable Mobility Initiative
This paper presents a novel approach to electric vehicle (EV) charging infrastructure, integrating solar and wind power with a battery charging station. The system aims to reduce environmental impact and enhance energy r...
Seasonal Variation in Benthic Macrofaunal Diversity and Distribution in Ambuliyar River and Sethubavachatram Coastal Waters, Southeast India
In the present study, benthic macrofaunal diversity and distribution in Ambuliyar River and Sethubavachatram coastal waters were studied and a total of 59 species of macrofauna consisting of three groups namely Polychaet...
Named entity recognition using AI-NLP
Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), which involves identifying and categorizing named entities in unstructured text data. In recent years, deep learning-based approaches...
Formulation and quality characterization of soy milk based dietary ice cream with the incorporation of probiotics and utilization, of fruit waste as a functional ingredient
Ice cream production is a complex process involving various stages such as pasteurization, homogenization, aging, freezing, and packaging. The quality and characteristics of ice cream depend on several factors including...