The summit named “Computational Linguistics Summit in
the Era of Large Language Models cum International symposium on Collaborative
Innovations between The Hong Kong Polytechnic University and The China Computer
Federation” organized by COMP Dept., PolyU on 22nd Aug 2024. Day 1
had two guest speakers and they are Prof. Kam Fai WONG and Prof. Guodon ZHOU.
The first guest speaker was Prof. Kam Fai WONG (CUHK)
and his topic named “What is Digital Humanities?” In the beginning, Prof. Wong
briefed the different between Computational Linguistics (CL) and Natural
language processing (NLP). CL is deeply rooted in both linguistics and computer
science, whereas NLP is more closely aligned with AI and machine learning;
indicating that CL is more concerned with the theoretical understanding of
language, and NLP is focused on practical applications.
Then Prof. KF Wong shared the conference of ACL 2024
by Association for Computational Linguistics (ACL) that he just
attended. He firstly mentioned three keynotes including Barbara Plank, Subbarao
Kambhampati and Sunita Sarawagi. And then he shared the theme paper award entitled
“OLMo Accelerating the Science of Language Models”.
After that Prof. Wong explained what is digital
humanities? Digital humanities is an interdisciplinary field that applies
digital tools and methods to enhance the research, teaching, and dissemination
of knowledge in the humanities.
There are two paths for research to study LLMs that AI
act as human or AI as itself. He also stated impacts to Humanities including language,
history, philosophy (ethics), art and education, etc.
Finally, Prof. KF Wong introduced methods which
developed by his research team, focusing on enhancing the forgettability,
reliability, adaptability, multiplicity, and explainability (FRAME) of large
models. Where:
Forgettability – some of data would be
obsoleted (e.g. person die) that how to take it out.
Reliability – evaluation to make sure
reliable
Adaptability – realize his/her behavior,
emotion
Multiplicity – multi-model such as prompt
Explainability – popular problem in deep learning
After finished Q&A session, organizer presented souvenir
to Prof. Wong.
Prof. Guodon ZHOU (周國棟) (Soochow University) and his presentation entitled “Language
Mechanism” (語言機制). Firstly, he explained that
language mechanisms refer to the natural processes involved in human language
use, while language models are computational structures designed to imitate or
facilitate language-related tasks.
Then he further explained the language mechanisms through
NLP that separated into three formalism (形式主義), functionalism (功能主義) and cognitivism (認知主義).
The difference between linguistic learning (LL) and
natural language understanding (NL) that LL
pertains to the acquisition of language knowledge, whether by humans or
machines, while NL focuses on enabling machines to comprehend and interpret
human language meaningfully.
The detailed explained of language mechanism through
the three layers and stages as the following diagram.
Lastly, Prof. Zhou stated the language mechanism from
AI that from language to understanding to cognition to intelligent and then to
wisdom.
The organizer presented souvenir to Prof. Guodon ZHOU and
took a photo online and offline.
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