activity
20172022
most citedConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

32 citations · 72 across the 11 of their papers we have counts for

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Showing cs.CLShow all

8 papers · 1 filter

cs.CL20226 cited

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022

Julia Kiseleva, Alexey Skrynnik, Artem Zholus +14

Human intelligence has the remarkable ability to adapt to new tasks and environments quickly. Starting from a very young age, humans acquire new skills and learn how to solve new t…

cs.CL20225 cited

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021

Julia Kiseleva, Ziming Li, Mohammad Aliannejadi +18

Human intelligence has the remarkable ability to quickly adapt to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new t…

cs.CL20221 cited

Summarization with Graphical Elements

Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke

Automatic text summarization has experienced substantial progress in recent years. With this progress, the question has arisen whether the types of summaries that are typically gen…

cs.CL20211 cited

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions

Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin +2

Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an important direction for improving the quality of the system response. Namely, for cases whe…

cs.CL2021

Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems

Ziming Li, Julia Kiseleva, Maarten de Rijke

Being able to generate informative and coherent dialogue responses is crucial when designing human-like open-domain dialogue systems. Encoder-decoder-based dialogue models tend to…

cs.CL2021

DEUS: A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues

Ziming Li, Dookun Park, Julia Kiseleva +2

Digital assistants are experiencing rapid growth due to their ability to assist users with day-to-day tasks where most dialogues are happening multi-turn. However, evaluating multi…