Keynote Speaker

     
 

Prof. Shu-Kai HSIEH

National Taiwan University


Language Resources with/in Language Models

Recent large language models have garnered significant attention due to their remarkable performance in natural language processing and understanding tasks. To enhance the models reasoning and grounding capabilities, more and more neuro-symbolic approaches in integrating structured symbolic knowledge into vectorized large language models have been proposed. In this talk, I’ll introduce the most recent development of Chinese Wordnet (CWN), and our recent efforts in leveraging the LangChain framework to chain various large language models (LLMs) with CWN and other lexical resources. Experimental results of the lexical knowledge retrieval from the LLMs, and different sense-aware NLP tasks with the augmented language models will be reported.

Bio
Prof. Shu-Kai HSIEH is Associate Professor of Linguistics at National Taiwan University, Taiwan. He received his PhD in Computational Linguistics from the University of Tübingen, and did his postdoc research under Prof. Chu-Ren Huang. He is the supervisor of NTU Lab of Ontologies, Language Processing and e-Humanities, and the founder of Taiwan Olympiad in Linguistics (TOL) and serves as the team leader and head coach of the Taiwanese national teams for International Olympiad in Linguistics.




Presenters

     
 

Dr Emmanuele CHERSONI

The Hong Kong Polytechnic University


Session 3

Are Transformer Language Models Sensitive to Complement Coercion? An Investigation on Mandarin Chinese and English

Bio
Emmanuele Chersoni (PhD, Aix-Marseille University, 2018) is Assistant Professor in the Department of Chinese and Bilingual Studies of the Hong Kong Polytechnic University. His main research interests include distributional semantic models, sentence processing, computational psycholinguistics and natural language processing for specialized domains (financial, biomedical). He served as a co-organizer of EMNLP 2019 in Hong Kong and as a co-chair of the ACL workshop series on Cognitive Modeling and Computational Linguistics between 2019 and 2022.


 

Dr Enrico SANTUS

CTO Office, Bloomberg

Session 3

Are Transformer Language Models Sensitive to Complement Coercion? An Investigation on Mandarin Chinese and English

Bio

Enrico Santus is Head of Human Computation in Bloomberg's CTO office, where he designs the interaction between humans and artificial intelligence for the years to come. Enrico graduated in Linguistics from the University of Pisa, and obtained a PhD in NLP from the Hong Kong Polytechnic University. He then completed two postdocs in AI for healthcare and pharma in Singapore (SUTD) and Boston (MIT). Before joining Bloomberg, Enrico led the teams that developed the Microsoft Office grammar checkers in several languages, and covered the position of Director of AI & ML at Bayer. In 2019, he was invited to speak about AI at the White House, and contributed to AI-related factsheets for the American Congress.




 

Dr Hongzhi XU

Shanghai International Studies University

Session 3
A Reference Grammar Based Chinese Corpus

Bio

Dr Hongzhi Xu received his PhD from the CBS department of the Hong Kong Polytechnic University in 2015. He is now an Assistant Professor at Shanghai International Studies University. Before that, he worked as a postdoctoral research at the CIS department of University of Pennsylvania. His research interests include linguistic theories and computational linguistics, with a focus on Semantics.

 

Dr Huiheng ZENG

The Hong Kong Polytechnic University


Session 3

Framing social issues in public discourse through metaphor: A corpus-based analysis of ‘housing’ metaphors in Chinese government speeches

Bio
Winnie Huiheng Zeng is a Postdoctoral Fellow in the Department of Chinese and Bilingual Studies at The Hong Kong Polytechnic University. Her research interests include corpus linguistics, critical metaphor analysis, and political communication. She has published articles in journals including Journal of Pragmatics, Lingua, Metaphor and Symbol, and Metaphor and the Social World.

 

Dr Jiajuan XIONG

Southwestern University of Finance and Economics

Session 1

(Supra-) Mundanity of Senses in Chinese Āgamas

Bio

Jiajuan Xiong obtained her PhD in Linguistics from the School of English, The University of Hong Kong in 2013. Then, she worked as a postdoctoral researcher in the Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University. In 2016, she joined Southwestern University of Finance and Economics in Chengdu, China. Her research lies in syntax, comparative syntax, linguistic synaesthesia and Buddhist philosophy of language.

 

Dr Jinghang GU

The Hong Kong Polytechnic University

Session 3

Evaluating ChatGPT on Chinese Grammatical Error Correction

Bio

Dr Gu is a current Postdoctoral Fellow in the Department of Chinese and Bilingual Studies at The Hong Kong Polytechnic University. He works with Prof. Chu-Ren Huang and Dr Emmanuele Chersoni on biomedical information extraction. Before that, he was a senior research and development engineer in the Big Data Group at Baidu Inc., specializing in Big Data Mining. He acquired his PhD degree in Computer Science from Soochow University in 2017. His research interests focus on Natural Language Understanding, Deep Learning, Biomedical Text Mining, Multilingual Information Extraction, etc.

 

Dr Jingxia LIN

Nanyang Technological University

Session 3
A Reference Grammar Based Chinese Corpus

Bio

Dr Lin Jingxia is an Associate Professor at School of Humanities, Nanyang Technological University Singapore. She received her PhD in Chinese linguistics from Stanford University in 2011. Prior to joining NTU Singapore in 2013, she was a postdoctoral fellow in Prof. Huang Chu-Ren's group at the Hong Kong Polytechnic University (2011-2012). Her research interests include syntax-semantics interface, language variation and change, and typology. In addition to Putonghua, she also works on Singapore Mandarin and the Wenzhou Wu dialect.

 

Ms Lavinia SALICCHI

The Hong Kong Polytechnic University

Session 3
Are Transformer Language Models Sensitive to Complement Coercion? An Investigation on Mandarin Chinese and English

Bio

Lavinia Salicchi is a Computational Linguistics PhD candidate in the Department of Chinese and Bilingual Studies of the Hong Kong Polytechnic University. Her main research interests are cognitive modelling, distributional semantics, computational psycholinguistics, and affective computing. Currently working on emotional alignment during conversations from both a computational and neurocognitive perspective, in the last years she took part in several NLP conferences, presenting studies on eye-tracking data prediction and submitting the best system at the CMCL 2022 shared task on Multilingual and Crosslingual Prediction of Human Reading Behavior.

 

Dr Longxing LI

Macao Polytechnic University

Session 1
A Corpus-Assisted Analysis of the Representation of China’s Reform in People’s Daily

Bio

Longxing Li is a lecturer of English-Chinese translation from the Faculty of Languages and Translation at Macao Polytechnic University. He receives his PhD degree from the University of Macao and has studying and researching experiences at Harbin Institute of Technology, Nanyang Technological University, and the Hong Kong Polytechnic University. He studies in the areas of corpus linguistics, translation studies, and critical discourse analysis. His publications can be found in the journals of Sage Open, System, Language and Education, Intercultural Pragmatics, International Journal of Bilingual Education and Bilingualism, and China Terminology and in several conference proceedings and books. Email: lxli@mpu.edu.mo

 

Dr Menghan JIANG

Shenzhen MSU-BIT University

Session 3
Framing social issues in public discourse through metaphor: A corpus-based analysis of ‘housing’ metaphors in Chinese government speeches

Bio

Menghan Jiang obtained her PhD in Applied Linguistics from the Hong Kong Polytechnic University in 2018. She is now working as a Senior Lecturer in Shenzhen MSU-BIT University. Her research interests are Corpus linguistics, Language variation and language change, Language modeling (on human collective behaviours), Chinese syntax, and Conceptual Metaphor. She has published the work in Corpus Linguistics and Linguistic Theory, Zhongguo Yuwen, Plos One, Metaphor and Symbol, among others.

 

Dr Qingqing ZHAO

Chinese Academy of Social Sciences

Session 1
Onomatopoeia in linguistic synesthesia: Showing and saying

Bio

Dr ZHAO Qingqing is currently an Associated Professor at the Institute of Linguistics in Chinese Academy of Social Sciences (CASS). Under supervision of Prof. HUANG Chu-Ren, she obtained her PhD degree in 2018 from The Hong Kong Polytechnic University, and her thesis entitled “Synaesthesia, Metaphor, and Cognition: A Corpus-Based Study on Synaesthetic Adjectives in Mandarin Chinese” received the Faculty’s Distinguished Thesis Award for PhD Students 2017/2018. The main research interests of Dr Zhao are lexical semantics and cognitive linguistics, topics on which she has published one book and more than twenty papers in high-impact SCI/SSCI journals and prestigious CSSCI journals, including Linguistics, PLoS ONE, Lingua, Zhongguoyuwen, and so forth. Dr Zhao is also as the PI for a NSSFC project (The National Social Science Fund of China) entitled “Linguistic synesthesia in Mandarin: Based on experimental approaches” (No. 19CYY006).

 

Dr Renkui HOU

Guangzhou University

Session 2
Diachronic Changes of Word Length in Hong Kong Political Speeches

Bio

Renkui Hou received his PhD in computational linguistics from Tsinghua University and is currently Associate Professor in Department of linguistics, Guangzhou University, Guangzhou, China. His research interests include corpus linguistics, register analysis, computational linguistics, quantitative linguistics, Lexical semantics and text mining.

 

Dr Shan WANG

University of Macau

Session 1
The Syntax and Semantics of Chinese Establishment Verbs

Bio

Shan Wang is an Assistant Professor at University of Macau. Her research interests are linguistics, teaching Chinese as a second language and corpus linguistics. She has published one monograph, more than 70 papers, edited one set of Greater Chinese textbooks, participated in the compilation of two dictionaries, and guest edited an international journal. In the recent three years, she has won six academic awards appraised by different institutions.

 

Dr Shichang WANG

Shandong University

Session 2
Measuring Intuitive Wordhood Strength Using Crowdsourced Word Segmentation Tasks

Bio

Wang Shichang, PhD, Associate Professor at Shandong University, Jinan, Shandong, China; a former PhD student (from 2012 to 2016) of Prof. Huang.

 

Dr Sicong DONG

Harbin Institute of Technology

Session 1
Are synaesthetic metaphors inherently emotion-laden? A multilevel analysis of perception and emotion interactions via synaesthetic metaphors

Bio

Sicong Dong is an Assistant Professor at Harbin Institute of Technology, Shenzhen. He has a wide range of research interests with published work on syntax, lexical semantics, linguistic typology and language planning. He is the author of more than 30 publications including contributions to Humanities and Social Sciences Communications, Lingua, Language and Linguistics, and Journal of Chinese Linguistics. He is the author of Clitics in Chinese: Theoretical Issues and Case Studies (漢語語綴: 理論問題與個案研究). Recently, he is chiefly conducting typological studies on weather expressions in languages of China, aiming to bridge linguistic patterns and meteorological environment.

 

Dr Siyu LEI

Xi’an Jiaotong University

Session 3
Are Transformer Language Models Sensitive to Complement Coercion? An Investigation on Mandarin Chinese and English

Bio

Siyu Lei is a dual award PhD, who has received one full-time doctoral degree (Doctor of Philosophy) from The Hong Kong Polytechnic University in January, 2023 and will receive another full-time doctoral degree (Doctor of Engineering) from Xi’an Jiaotong University in second half of 2023. She has found an Assistant Professor position in the School of Foreign Studies of Xi’an Jiaotong University, China. Her main research interests are computational linguistics, corpus linguistics and computer-assisted language learning. Her publications appeared in the Journal of English for Academic Purposes, Lingua, Language Resources and Evaluation etc.

 

Dr Xi CHEN

University of Macau

Session 3
The linguistic behaviour of netizens under COVID-19: Analyses of comments on YouTube channels based in Macau

Bio

Xi Chen is a PhD candidate in linguistics at the Department of English, University of Macau. He is jointly supervised by Prof. Vincent Wang and Chair Prof. Chu-Ren Huang. He studied and researched at the Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University during the academic year 2019-2020 under the supervision of Chair Prof. Huang with specialisation in computational linguistics, Chinese grammar and corpus-based linguistics research. He has published papers in the proceedings of Pacific Asia Conference on Language, Information and Computation (PACLIC) and Chinese Lexical Semantics Workshop (CLSW). His research interests are corpus linguistics and computational linguistics.

 

Dr Yin ZHONG

The Hong Kong University of Science and Technology

Session 1
Are synaesthetic metaphors inherently emotion-laden? A multilevel analysis of perception and emotion interactions via synaesthetic metaphors

Bio

Dr ZHONG Yin is a lecturer at the Center for Language Education of the Hong Kong University of Science and Technology. She received her doctoral degree in applied language sciences from the Hong Kong Polytechnic University, under the supervision of Professor HUANG, Chu-Ren. Her research mainly integrates the corpus-based method and behaviour experiments to examine the relationship between sensorimotor information and lexical representations in Chinese. Another line of her research lies in the (novel) metaphor comprehension and the use of metaphors in communication. She has published over 10 journal papers in international publications such as Language, Cognition and Neuroscience, Journal of Chinese Linguistics, International Journal of Communication, Linguistics Vanguard, Linguistics Research, and Humanities and Social Sciences Communications.

 

Dr Yue GUAN

The Hong Kong Polytechnic University

Session 2

Distribution of Chinese Adverbial “Jiu” and Its Function in Interactional Data

Bio

Guan Yue is the post doctor of the HK PolyU-PKU Research Centre on Chinese Linguistics from 2020 to 2023. She finished her PhD study in Graduate School of Chinese Academy of Social Sciences in 2020. During 2019 to 2020, she worked as a visiting PhD student in the Department of East Asian Studies at the University of Alberta in Canada. Her research interests are Interactional Linguistic, Corpus Linguistics, Cognitive Linguistics and Functional Grammar. Her major publications are: A Preliminary Study of Syntactic Collaborative Construction in Mandarin Conversations (2020) and Collaborative Listing Expressions in Naturally Occurring Conversation (2023).