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DOMAIN-SPECIFIC LANGUAGE MODEL USING DOMAIN LITERATURE AND EXPERTS' SPOKEN LANGUAGE

IP.com Disclosure Number: IPCOM000251170D
Publication Date: 2017-Oct-20

Publishing Venue

The IP.com Prior Art Database

Related People

Authors:
Pranjal Daga Qihong Shao Dmitry Goloubew Gyana Dash Antonio Nucci Carlos Pignataro [+details]

Abstract

Techniques are provided to digitize and infer domain specific knowledge from conversations such as voice and video recordings. Existing Artificial Intelligence (AI) / Machine Learning (ML) algorithms and tools fail to provide an acceptable accuracy in transcription or semantic context generation. Described is a methodology to automate the process of building a Domain Language Model (DLM) using domain specific literature and experts' spoken language model. This improves the accuracy of transcription of audio and video to an acceptable level. The DLM may be used to infer knowledge from any form of customer conversations or any conversation recording, for use in conversational AI, bots, search, and troubleshooting assistants.