Research
After studying computer science in Lübeck and Leipzig, I worked at the NLP group of Leipzig University in the DFG-funded project OCR-D in the area of OCR post-correction. Most of my research was done as part of the DFG research training group QuantLA and dedicated to combinatory categorial grammar. Most recently, I worked at Infai e.V. in the project LiSiL, which aims to enhance digital learning environments for social work by making them emotion-sensitive. I am interested in natural language processing and formal language theory, especially in mildly context-sensitive formalisms and tree languages.
Dissertation
L. K. Schiffer: Generative and Computational Power of Combinatory Categorial Grammar, Dissertation, Universität Leipzig, 2024. [pdf] [permanent link] [slides]
Publications
A. Maletti, L. K. Schiffer: Combinatory Categorial Grammars as Generators of Weighted Forests, in: Information and Computation, 294: 105075, Elsevier, 2023. [preprint] [link]
L. K. Schiffer, M. Kuhlmann, G. Satta: Tractable Parsing for CCGs of Bounded Degree, in: Computational Linguistics (CL) 48 (3): 593–633, MIT Press, 2022. [link]
M. Kuhlmann, A. Maletti, L. K. Schiffer: The Tree-Generative Capacity of Combinatory Categorial Grammars (extended version), in: Journal of Computer and System Sciences (JCSS) 124: 214–233, Elsevier, 2022. [link]
L. K. Schiffer, A. Maletti: Strong Equivalence of TAG and CCG, in: Transactions of the Association for Computational Linguistics (TACL) 9: 707–720, MIT Press, 2021. [preprint] [link]
M. Kuhlmann, A. Maletti, L. K. Schiffer: The Tree-Generative Capacity of Combinatory Categorial Grammars, in: Foundations of Software Technology and Theoretical Computer Science (FSTTCS), LIPIcs, 2019. [link]
Unpublished Manuscripts
A. Maletti, L. K. Schiffer: Strong Equivalence of TAG and CCG (extended version), 2022. [preprint]
Posters
L. K. Schiffer: Expressive Power of Combinatory Categorial Grammars, in: 14th Annual Joint Workshop of the German Research Training Groups in Computer Science, 2020. [pdf]
R. Sachunsky, L. K. Schiffer, T. Efer, G. Heyer: Towards Context-Aware Language Models for Historical OCR Post-Correction, in: European Association for Digital Humanities (EADH), 2018. [link]
L. K. Schiffer, R. Sachunsky, T. Efer, G. Heyer: Augmenting OCR Post-Correction with Context-Aware Language Models, in: Bibliotheca Baltica Symposium (BBS), 2018. [link]