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20192022
most citedNatural Language Processing with Commonsense Knowledge: A Survey

21 citations · 32 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.CL2022

This joke is [MASK]: Recognizing Humor and Offense with Prompting

Junze Li, Mengjie Zhao, Yubo Xie +3

Humor is a magnetic component in everyday human interactions and communications. Computationally modeling humor enables NLP systems to entertain and engage with users. We investiga…

cs.CL2022

AFEC: A Knowledge Graph Capturing Social Intelligence in Casual Conversations

Yubo Xie, Junze Li, Pearl Pu

This paper introduces AFEC, an automatically curated knowledge graph based on people's day-to-day casual conversations. The knowledge captured in this graph bears potential for con…

cs.CL2021★ 21 cited

Natural Language Processing with Commonsense Knowledge: A Survey

Yubo Xie, Zonghui Liu, Zongyang Ma +4

Commonsense knowledge is essential for advancing natural language processing (NLP) by enabling models to engage in human-like reasoning, which requires a deeper understanding of co…

cs.CL2021

Empathetic Dialog Generation with Fine-Grained Intents

Yubo Xie, Pearl Pu

Empathetic dialog generation aims at generating coherent responses following previous dialog turns and, more importantly, showing a sense of caring and a desire to help. Existing m…

cs.CL2020★ 4 cited

Fine-grained Emotion and Intent Learning in Movie Dialogues

Anuradha Welivita, Yubo Xie, Pearl Pu

We propose a novel large-scale emotional dialogue dataset, consisting of 1M dialogues retrieved from the OpenSubtitles corpus and annotated with 32 emotions and 9 empathetic respon…

cs.CL2020★ 2 cited

Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition

Yubo Xie, Junze Li, Pearl Pu

Humor recognition has been widely studied as a text classification problem using data-driven approaches. However, most existing work does not examine the actual joke mechanism to u…

cs.CL2019★ 1 cited

A Multi-Turn Emotionally Engaging Dialog Model

Yubo Xie, Ekaterina Svikhnushina, Pearl Pu

Open-domain dialog systems (also known as chatbots) have increasingly drawn attention in natural language processing. Some of the recent work aims at incorporating affect informati…