Abstract
Natural language processing involves computer science, artificial intelligence and computational linguistics concerned with interactions between computers and human (natural) languages. The paper attempts to critically analyse state of the art technology algorithms in the field of Information Extraction and Information Retrieval. Information Extraction is concerned in general with the extraction of semantic information from text. Retrieval, filtering, indexing and other such tools have been built which have been used to accomplish tasks such as named entity recognition, co-reference resolution, relationship extraction, etc. By collating important work systematically, the paper also aims to simplify the process of referencing and literature review for future researchers and developers in the field of Natural Language Processing. Major challenges in NLP including natural language understanding, enabling computers to derive meaning from human or natural language input; natural language generation among others have also been discussed. Keywords: Natural Language Processing, Information Extraction, Information Retrieval, Machine Translation, Natural Language Generation.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Research in Computer Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
