activity
20172023
most citedOffline and Online Satisfaction Prediction in Open-Domain Conversational Systems

17 citations · 20 across the 10 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2023

Ericson: An Interactive Open-Domain Conversational Search Agent

Zihao Wang, Ali Ahmadvand, Jason Choi +2

Open-domain conversational search (ODCS) aims to provide valuable, up-to-date information, while maintaining natural conversations to help users refine and ultimately answer inform…

cs.CL2022

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire

Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva +4

The recent increase in the volume of online meetings necessitates automated tools for managing and organizing the material, especially when an attendee has missed the discussion an…

cs.CL2020

Contextual Dialogue Act Classification for Open-Domain Conversational Agents

Ali Ahmadvand, Jason Ingyu Choi, Eugene Agichtein

Classifying the general intent of the user utterance in a conversation, also known as Dialogue Act (DA), e.g., open-ended question, statement of opinion, or request for an opinion,…

cs.CL2020★ 3 cited

ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents

Ali Ahmadvand, Harshita Sahijwani, Jason Ingyu Choi +1

Identifying the topic (domain) of each user's utterance in open-domain conversational systems is a crucial step for all subsequent language understanding and response tasks. In par…

cs.CL2017

ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering

Ali Ahmadvand, Jinho D. Choi

Transferring knowledge from a source domain to another domain is useful, especially when gathering new data is very expensive and time-consuming. Deep networks have been well-studi…