Li-Hsin
Chang
Doctoral Researcher, Department of Computing
Doctoral Candidate, Data analytics
I am a member of the TurkuNLP research group.
Contact
Links
Areas of expertise
Natural Language Processing
language technology
educational NLP
Biography
I have background in Biology and Bioinformatics. Nowadays my research topic is in the field of educational language technology.
Teaching
In autumn 2022, I help with the teaching of the Introduction to Programming course along with several other colleagues..
Research
I work on automatic essay evaluation and paraphrasing.
Publications
Semantic search as extractive paraphrase span detection (2024)
Language Resources and Evaluation
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Towards diverse and contextually anchored paraphrase modeling: A dataset and baselines for Finnish (2023)
Natural Language Engineering
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
TallVocabL2Fi: A Tall Dataset of 15 Finnish L2 Learners’ Vocabulary (2022)
International Conference on Language Resources and Evaluation, LREC Proceedings
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Towards Automatic Short Answer Assessment for Finnish as a Paraphrase Retrieval Task (2022)
Workshop on Innovative Use of NLP for Building Educational Applications
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Towards better structured and less noisy Web data: Oscar with Register annotations (2022)
International Conference on Computational Linguistics, International Conference on Computational Linguistics
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Textual Paraphrase Dataset for Deep Language Modelling (2022)
(Vertaisarvioitu artikkeli kokoomateoksessa (A3))Deep Learning and Film History: Model Explanation Techniques in the Analysis of Temporality in Finnish Fiction Film Metadata (2022)
Digital Humanities in the Nordic and Baltic Countries Conference (DHNB), CEUR Workshop Proceedings
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Towards Bilingually Competent Deep Language Modeling (2021)
European Summer School in Logic, Language and Information
(Artikkeli ammatillisessa konferenssijulkaisussa (D3))
Finnish Paraphrase Corpus (2021)
Nordic Conference on Computational Linguistics, Linköping Electronic Conference Proceedings
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Deep learning for sentence clustering in essay grading support (2021)
International Conference on Educational Data Mining
(Artikkeli ammatillisessa konferenssijulkaisussa (D3))