Search Results for author: Siyang Liu

Found 10 papers, 6 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.

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support

2 code implementations Findings (ACL) 2021 Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu, Minlie Huang

In this paper, we propose PsyQA, a Chinese dataset of psychological health support in the form of question and answer pair.

SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge

1 code implementation EMNLP 2020 Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang

To benefit the downstream tasks in sentiment analysis, we propose a novel language representation model called SentiLARE, which introduces word-level linguistic knowledge including part-of-speech tag and sentiment polarity (inferred from SentiWordNet) into pre-trained models.

Data Augmentation Language Modelling +3

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

EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms

no code implementations23 May 2023 Naihao Deng, YiKai Liu, Mingye Chen, Winston Wu, Siyang Liu, Yulong Chen, Yue Zhang, Rada Mihalcea

Our results show that our system can meet the diverse needs of NLP researchers and significantly accelerate the annotation process.

Active Learning

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

ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Auto-Encoder in Urban Scenes

no code implementations14 Dec 2023 Tianchen Deng, Siyang Liu, Xuan Wang, Yejia Liu, Danwei Wang, Weidong Chen

Implicit neural representation has demonstrated promising results in view synthesis for large and complex scenes.

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