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20202026
most citedSurvey of Hallucination in Natural Language Generation

4.5k citations · 4.6k across the 18 of their papers we have counts for

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Showing 2021 · cs.CLShow all

6 papers · 2 filters

cs.CL2021★ 4 cited

Assessing Political Prudence of Open-domain Chatbots

Yejin Bang, Nayeon Lee, Etsuko Ishii +2

Politically sensitive topics are still a challenge for open-domain chatbots. However, dealing with politically sensitive content in a responsible, non-partisan, and safe behavior w…

cs.CL2021

CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System

Etsuko Ishii, Yan Xu, Genta Indra Winata +5

Information-seeking dialogue systems, including knowledge identification and response generation, aim to respond to users with fluent, coherent, and informative responses based on…

cs.CL2021

ERICA: An Empathetic Android Companion for Covid-19 Quarantine

Etsuko Ishii, Genta Indra Winata, Samuel Cahyawijaya +3

Over the past year, research in various domains, including Natural Language Processing (NLP), has been accelerated to fight against the COVID-19 pandemic, yet such research has jus…

cs.CL2021★ 3 cited

Nora: The Well-Being Coach

Genta Indra Winata, Holy Lovenia, Etsuko Ishii +3

The current pandemic has forced people globally to remain in isolation and practice social distancing, which creates the need for a system to combat the resulting loneliness and ne…

cs.CL2021★ 17 cited

Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters

Yan Xu, Etsuko Ishii, Samuel Cahyawijaya +5

To diversify and enrich generated dialogue responses, knowledge-grounded dialogue has been investigated in recent years. The existing methods tackle the knowledge grounding challen…

cs.CL2021★ 6 cited

Model Generalization on COVID-19 Fake News Detection

Yejin Bang, Etsuko Ishii, Samuel Cahyawijaya +2

Amid the pandemic COVID-19, the world is facing unprecedented infodemic with the proliferation of both fake and real information. Considering the problematic consequences that the…