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20212024
most citedSurvey of Hallucination in Natural Language Generation

4.5k citations · 4.6k across the 9 of their papers we have counts for

collaborators

11 papers

cs.RO2024★ 1 cited

Survey of Design Paradigms for Social Robots

Rita Frieske, Xiaoyu Mo, Yini Fang +2

The demand for social robots in fields like healthcare, education, and entertainment increases due to their emotional adaptation features. These robots leverage multimodal communic…

cs.CV2024

ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation

Rita Frieske, Bertram E. Shi

ERIT is a novel multimodal dataset designed to facilitate research in a lightweight multimodal fusion. It contains text and image data collected from videos of elderly individuals…

cs.CL2024★ 2 cited

Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Rita Frieske, Bertram E. Shi

Hallucinations are a type of output error produced by deep neural networks. While this has been studied in natural language processing, they have not been researched previously in…

cs.CL2023

Cross-Lingual Cross-Age Group Adaptation for Low-Resource Elderly Speech Emotion Recognition

Samuel Cahyawijaya, Holy Lovenia, Willy Chung +3

Speech emotion recognition plays a crucial role in human-computer interactions. However, most speech emotion recognition research is biased toward English-speaking adults, which hi…

cs.CL2022★ 70 cited

State-of-the-art generalisation research in NLP: A taxonomy and review

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers +17

The ability to generalise well is one of the primary desiderata of natural language processing (NLP). Yet, what 'good generalisation' entails and how it should be evaluated is not…

cs.SD2022★ 5 cited

What Did I Just Hear? Detecting Pornographic Sounds in Adult Videos Using Neural Networks

Holy Lovenia, Dessi Puji Lestari, Rita Frieske

Audio-based pornographic detection enables efficient adult content filtering without sacrificing performance by exploiting distinct spectral characteristics. To improve it, we expl…

cs.CL2022★ 2 cited

VScript: Controllable Script Generation with Visual Presentation

Ziwei Ji, Yan Xu, I-Tsun Cheng +6

In order to offer a customized script tool and inspire professional scriptwriters, we present VScript. It is a controllable pipeline that generates complete scripts, including dial…

cs.CL2022★ 4.5k cited

Survey of Hallucination in Natural Language Generation

Ziwei Ji, Nayeon Lee, Rita Frieske +10

Natural Language Generation (NLG) has improved exponentially in recent years thanks to the development of sequence-to-sequence deep learning technologies such as Transformer-based…

cs.CL2022

Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset

Tiezheng Yu, Rita Frieske, Peng Xu +9

Automatic speech recognition (ASR) on low resource languages improves the access of linguistic minorities to technological advantages provided by artificial intelligence (AI). In t…

cs.CL2022★ 3 cited

CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition

Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu +10

With the rise of deep learning and intelligent vehicle, the smart assistant has become an essential in-car component to facilitate driving and provide extra functionalities. In-car…

cs.CL2021

ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation

Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata +11

Code-switching is a speech phenomenon occurring when a speaker switches language during a conversation. Despite the spontaneous nature of code-switching in conversational spoken la…