research
∙
08/24/2023
GPTEval: A Survey on Assessments of ChatGPT and GPT-4
The emergence of ChatGPT has generated much speculation in the press abo...
share
research
∙
07/27/2023
Models of reference production: How do they withstand the test of time?
In recent years, many NLP studies have focused solely on performance imp...
research
∙
10/10/2022
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset
Previous work on Neural Referring Expression Generation (REG) all uses W...
research
∙
09/24/2022
Understanding the Use of Quantifiers in Mandarin
We introduce a corpus of short texts in Mandarin, in which quantified ex...
research
∙
05/24/2022
Accuracy on In-Domain Samples Matters When Building Out-of-Domain detectors: A Reply to Marek et al. (2021)
We have noticed that Marek et al. (2021) try to re-implement our paper Z...
research
∙
03/15/2022
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems
In recent years, neural models have often outperformed rule-based and cl...
research
∙
08/18/2021
Affective Decoding for Empathetic Response Generation
Understanding speaker's feelings and producing appropriate responses wit...
research
∙
08/16/2021
MMChat: Multi-Modal Chat Dataset on Social Media
Incorporating multi-modal contexts in conversation is an important step ...
research
∙
08/15/2021
What can Neural Referential Form Selectors Learn?
Despite achieving encouraging results, neural Referring Expression Gener...
research
∙
11/14/2020
Lessons from Computational Modelling of Reference Production in Mandarin and English
Referring expression generation (REG) algorithms offer computational mod...
research
∙
11/02/2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
The Variational Autoencoder (VAE) is a popular and powerful model applie...
research
∙
10/27/2020
DGST: a Dual-Generator Network for Text Style Transfer
We propose DGST, a novel and simple Dual-Generator network architecture ...
research
∙
10/27/2020
Listener's Social Identity Matters in Personalised Response Generation
Personalised response generation enables generating human-like responses...
research
∙
09/09/2019
Out-of-domain Detection for Natural Language Understanding in Dialog Systems
In natural language understanding components, detecting out-of-domain (O...
research
∙
01/28/2019
Personalized Dialogue Generation with Diversified Traits
Endowing a dialogue system with particular personality traits is essenti...
research
∙
10/22/2018