Democratizing access to natural language processing (NLP) technology is
...
Grounding dialogue response generation on external knowledge is proposed...
Figurative language permeates human communication, but at the same time ...
Despite the major advances in NLP, significant disparities in NLP system...
Multilingual Large Language Models (LLMs) have recently shown great
capa...
Instruction-tuned large language models (LLMs) have shown remarkable
gen...
While code-mixing is a common linguistic practice in many parts of the w...
The demand for multimodal dialogue systems has been rising in various
do...
This paper proposes a framework for quantitatively evaluating interactiv...
We present NusaCrowd, a collaborative initiative to collect and unite
ex...
Generating a short story out of an image is arduous. Unlike image captio...
At the center of the underlying issues that halt Indonesian natural lang...
With the rise of deep learning and intelligent vehicles, the smart assis...
Natural language processing (NLP) has a significant impact on society vi...
Self-supervised pre-training methods have brought remarkable breakthroug...
Question rewriting (QR) is a subtask of conversational question answerin...
Task-adaptive pre-training (TAPT) alleviates the lack of labelled data a...
NLP research is impeded by a lack of resources and awareness of the
chal...
Code-switching is a speech phenomenon when a speaker switches language d...
While the recent advances in deep neural networks (DNN) bring remarkable...
In this thesis, we introduce Greenformers, a collection of model efficie...
Over the past year, research in various domains, including Natural Langu...
Multimodal affect recognition constitutes an important aspect for enhanc...
A benchmark provides an ecosystem to measure the advancement of models w...
Multilingual language models have shown decent performance in multilingu...
Existing works on multimodal affective computing tasks, such as emotion
...
Amid the pandemic COVID-19, the world is facing unprecedented infodemic ...
Cross-domain named entity recognition (NER) models are able to cope with...
Task-oriented dialogue systems are either modularized with separate dial...
Although Indonesian is known to be the fourth most frequently used langu...
An increasing number of people in the world today speak a mixed-language...
Personalized dialogue systems are an essential step toward better
human-...
Local dialects influence people to pronounce words of the same language
...
High performing deep neural networks come at the cost of computational
c...