PhD Candidate
Division of Linguistics and Multilingual Studies
School of Humanities and Social Sciences
Nanyang Technological University
14 Nanyang Dr, Singapore 637332

Research Interests
interactional linguistics, spoken dialog systems, parser development, machine learning

I am a PhD candidate in linguistics with a background in data science concerned with developing new tools for corpus-based spoken language understanding. My current research focuses on cognitive modeling of constructions (cxn) in human speech and their interface with domain-general cognitive processes and semantic frames. More specifically, I investigate and model usage events of cause-effect constructions in Chinese talk-in-interaction. Drawing on insights from cognitive linguistics, ethnomethodology and conversation analysis, the project aims to provide both (i) theoretical insights into how causal constructions are employed in language use and (ii) practical insights useful for application in simulation semantics and semantic parsing.

Part of this project is the compilation of a video corpus of Cantonese naturally-occurring speech that will be made available soon (see mycancor).

Personal interests
Tsundoku master, cyclist and hunter.


Recent publications
Liesenfeld, Andreas. (2017) Project notes on building a conversation parser on top of a text parser: Towards a causal language tagger for spoken Chinese. ISA-13: Thirteenth Joint ACL – ISO Workshop on Interoperable Semantic Annotation at 12th International Conference on Computational Semantics (IWCS), Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM), 19-22 September 2017. Proceedings

Liesenfeld, Andreas. (2017) Extracting construction networks of Causality from Cantonese speech corpora using word embeddings. Corpus Linguistics Conference, University of Birmingham, 25-28 July 2017. Poster Abstract