Rajiv Baronia

Title: Innovations by Rajiv Baronia in Semantic Frame Identification and Named Entity Recognition

Introduction

Rajiv Baronia is an accomplished inventor based in San Ramon, CA (US). He has made significant contributions to the fields of natural language processing and machine learning. With a total of 2 patents, Baronia's work focuses on enhancing the capabilities of semantic frame identification and named entity recognition.

Latest Patents

One of Baronia's latest patents is titled "Semantic frame identification using capsule networks." This invention involves associating identified target words in the sentential context of their natural language source with semantic frames from a frame lexical database. The disclosed invention leverages the CapsNet architecture for improved semantic frame identification of a target word in a natural language input. It includes deriving the features of a target word identified in the sentence and extracting the features of the word units and the thematic words around the target word. Through dynamic routing of capsules, the CapsNet is able to filter the candidate frames for the target word to reduce the search space and apply the CapsNet prediction to identify a frame from a frame lexical database.

Another notable patent is "Nested named entity recognition." Named Entity Recognition (NER) is the identification and classification of named entities within a document. Nested NEs occur when an NE is contained within another NE. This invention also leverages the CapsNet architecture for improved nested NE identification and classification. It includes deriving the features of an input text, which are used to identify and classify any named entities in the text. The system is further configured to identify named entities in the text and perform clustering to group named entities. The disclosed CapsNet considers the context of the whole text to activate higher capsule layers in order to identify the named entities and classify them. The teachings of this invention are applicable to other NER models to improve nested NE identification and classification.

Career Highlights

Rajiv Baronia has established himself as a leading figure in the realm of artificial intelligence and natural language processing. His innovative approaches have garnered attention and recognition within the tech community.

Collaborations

Baronia has collaborated with notable individuals in his field, including Vineeth Thanikonda Munirathnam and Suzanne M Kirch. Their joint efforts have contributed to the advancement of technologies in semantic analysis and entity recognition.

Conclusion

Rajiv Baronia's contributions to semantic frame identification and named entity recognition