Disambiguating user intent in conversational interaction system for large corpus information retrieval

M Aravamudan, R Barve, S Venkataraman… - US Patent …, 2016 - Google Patents
A method of disambiguating user intent in conversational interactions for information
retrieval is disclosed. The method includes providing access to a set of content items with …

Are we there yet? research in commercial spoken dialog systems

R Pieraccini, D Suendermann, K Dayanidhi… - … Conference on Text …, 2009 - Springer
In this paper we discuss the recent evolution of spoken dialog systems in commercial
deployments. Yet based on a simple finite state machine design paradigm, dialog systems …

JAICOB: A data science chatbot

D Carlander-Reuterfelt, Á Carrera, CA Iglesias… - IEEE …, 2020 - ieeexplore.ieee.org
The application of natural language to improve students' interaction with information systems
is demonstrated to be beneficial. In particular, advances in cognitive computing enable a …

Method of and system for using conversation state information in a conversational interaction system

R Barve, M Aravamudan, S Venkataraman… - US Patent …, 2013 - Google Patents
Hale & Dorr LLP (57) ABSTRACT A method of using conversation state information in a con
Versational interaction system is disclosed. A method of infer ring a change of a …

KIDE4I: A generic semantics-based task-oriented dialogue system for human-machine interaction in industry 5.0

C Aceta, I Fernández, A Soroa - Applied Sciences, 2022 - mdpi.com
In Industry 5.0, human workers and their wellbeing are placed at the centre of the production
process. In this context, task-oriented dialogue systems allow workers to delegate simple …

Conversational interfaces: Past and present

M McTear, Z Callejas, D Griol, M McTear… - … Interface: Talking to …, 2016 - Springer
Conversational interfaces have a long history, starting in the 1960s with text-based dialog
systems for question answering and chatbots that simulated casual conversation. Speech …

A re-ranker scheme for integrating large scale nlu models

C Su, R Gupta, S Ananthakrishnan… - 2018 IEEE Spoken …, 2018 - ieeexplore.ieee.org
Large scale Natural Language Understanding (NLU) systems are typically trained on large
quantities of data, requiring a fast and scalable training strategy. A typical design for NLU …

Systems and methods for determining whether a negation statement applies to a current or past query

S Venkataraman, M Pujari - US Patent 9,852,136, 2017 - Google Patents
Abstract Systems and methods for determining whether an ambiguous statement applies to
a first query or second query. In some aspects, the system includes control circuitry that …

System and method for improving performance of semantic classifiers in spoken dialog systems

D Suendermann, K Evanini, J Liscombe… - US Patent …, 2013 - Google Patents
(57) ABSTRACT A method and apparatus for continuously improving the per formance of
semantic classifiers in the scope of spoken dialog systems are disclosed. Rule-based or …

Method of and system for inferring user intent in search input in a conversational interaction system

R Barve, M Aravamudan, S Venkataraman… - US Patent …, 2015 - Google Patents
US9183183B2 - Method of and system for inferring user intent in search input in a conversational
interaction system - Google Patents US9183183B2 - Method of and system for inferring user …