Search Results for author: Sahand Sabour

Found 10 papers, 7 papers with code

Towards Emotional Support Dialog Systems

1 code implementation ACL 2021 Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang

Emotional support is a crucial ability for many conversation scenarios, including social interactions, mental health support, and customer service chats.

CEM: Commonsense-aware Empathetic Response Generation

1 code implementation13 Sep 2021 Sahand Sabour, Chujie Zheng, Minlie Huang

We evaluate our approach on EmpatheticDialogues, which is a widely-used benchmark dataset for empathetic response generation.

Empathetic Response Generation Response Generation

AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation

1 code implementation26 Feb 2022 Chujie Zheng, Sahand Sabour, Jiaxin Wen, Zheng Zhang, Minlie Huang

Applying this approach, we construct AugESC, an augmented dataset for the ESC task, which largely extends the scale and topic coverage of the crowdsourced ESConv corpus.

Data Augmentation Dialogue Generation +2

PAL: Persona-Augmented Emotional Support Conversation Generation

1 code implementation19 Dec 2022 Jiale Cheng, Sahand Sabour, Hao Sun, Zhuang Chen, Minlie Huang

As previous studies have demonstrated that seekers' persona is an important factor for effective support, we investigate whether there are benefits to modeling such information in dialogue models for support.

Rethinking and Refining the Distinct Metric

1 code implementation ACL 2022 Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang

We provide both empirical and theoretical evidence to show that our method effectively removes the biases existing in the original distinct score.

Text Generation

COKE: A Cognitive Knowledge Graph for Machine Theory of Mind

no code implementations9 May 2023 Jincenzi Wu, Zhuang Chen, Jiawen Deng, Sahand Sabour, Minlie Huang

To empower AI systems with the ToM ability and narrow the gap between them and humans, in this paper, we propose COKE: the first cognitive knowledge graph for machine theory of mind.

Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond

no code implementations9 Oct 2023 Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea

We propose task-adaptive tokenization as a way to adapt the generation pipeline to the specifics of a downstream task and enhance long-form generation in mental health.

Question Answering Text Generation

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