Research Lab

LOPE

Lab of Ontologies, Language Processing & e-Humanities @ NTU

We study how humans process language through computational and cognitive lenses.

LOC: NTU_TAIWAN // LAT: 25.017947° N, LONG: 121.5345148° E
LOPE Lab Group Shot

Mission & Values

We Connect Language, Technology, and Humanity

Founded in 2007 by Professor Shu-Kai Hsieh, the Lab of Ontologies, Language Processing, and e-Humanities (LOPE) draws its spirit from the word's medieval meaning: "to walk with a long bounding stride." With this steady, purposeful momentum, we believe that the enduring value of the humanities and human knowledge must be respected and innovated within the age of AI.

Chronicle

Events & News

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Publication

Tung-Le Pan's Paper on Typological Feature-Value Embeddings Accepted at EMNLP 2026

Tung-Le Pan's paper, "Typological Features are Multiple-Choice Questions, not Yes/No Questions: Lessons from Typological Feature-Value Embeddings," has been accepted at EMNLP 2026.

2026_10_07

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Publication

Two Papers Accepted for Oral Presentation at ROCLING 2026

Two LOPE papers on cross-lingual geopolitical framing and small-model linguistic reasoning have been accepted for oral presentation at ROCLING 2026.

2026_10_07

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Publication

Prof. Hsieh's Paper Published in Linguistic Research (KHU ISLI)

Prof. Shu-Kai Hsieh's paper proposing a linguistic framework for agentic AI has been accepted for publication in Linguistic Research, Volume 43, Special Edition.

2026_09_13

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Portrait of Prof. Shu-Kai Hsieh

// Principal Investigator

Prof. Shu-Kai Hsieh

謝舒凱 教授

Our goal is to explore the frontier where language, cognition, and computation begin to diverge.
APPT: Graduate Institute of Linguistics
JOINT: Graduate Institute of Brain and Mind Sciences, College of Medicine
EDU: Ph.D. in Computational Linguistics, University of Tübingen, Germany
FOCUS: Computational Semantics, LLM & NLP, Digital Humanities, Language Resources, Language, Culture and Cognition
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Research Highlights

Featured Projects

PROJECT_CWN

Chinese Wordnet

Chinese Wordnet (CWN) is a long-running lexical knowledge resource for representing Chinese word senses and lexical-semantic relations through synsets, glosses, examples, and a connected semantic network.

With
Academia Sinica logo

MultiMoCo

MultiMoCo NTU

A pioneering large-scale multimodal corpus for languages in Taiwan that integrates video, dialogue, caption, and gesture layers with human annotation and multimodal machine learning workflows.

Academic Output

Selected Publications

Peer-reviewed research across computational linguistics, lexical semantics, and digital humanities.

VIEW_ALL_PAPERS

Small-Model Linguistic Reasoning under Compute Constraints

Da-Chen Lian, Chunki Lim, Kai-Yang Peng, Nai-Wei Lu, Pei-Yang Lin, Shu-Kai Hsieh

Conference on Computational Linguistics and Speech Processing (ROCLING 2026) 2026

How LLM Financial Agents Respond to Stated Affect Depends on Their Assigned Role

Da-Chen Lian, Yu-Lin Chang, Yen-Hsi Huang, Shu-Kai Hsieh

The 11th Workshop on Financial Technology and Natural Language Processing (FinNLP 2026) at EMNLP 2026 2026

Language Unalignability: Why Some Concepts Resist Cross-Cultural Benchmark Evaluation

Shu-Kai Hsieh, Da-Chen Lian

arXiv preprint arXiv:2610.08303 2026

Whose Taiwan? Cross-Lingual Geopolitical Framing in the Representations of Large Language Models

Guan-Yu Tseng, Lang-Ching Yeh, Yu-Chieh Wang, Shu-Kai Hsieh

Conference on Computational Linguistics and Speech Processing (ROCLING) 2026

paper

// FRONTIER_RESEARCH

Let's explore language
frontiers together.

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