55 citations
- Institute of LinguisticsRU6 papers
- Charles UniversityCZ3 papers
- University of CharlestonUS3 papers
- Association for Computational LinguisticsUS2 papers
- Pilsen Tools (Czechia)CZ2 papers
- University of ChicagoUS2 papers
- University of West Bohemia in PilsenCZ2 papers
- Vrije Universiteit BrusselBE2 papers
- Amsterdam University CollegeNL1 paper
- Association for Language LearningGB1 paper
- Brown UniversityUS1 paper
- Centre Hospitalier de l’Université de MontréalCA1 paper
23 papers
AthDGC: An Open Diachronic Greek Treebank with Indo-European Parallels
Nikolaos Lavidas, Kiki Nikiforidou, Dag Haug +8
AthDGC ("Athens-PROIEL") is an open, end-to-end workflow and dataset. It is, to the best of our knowledge, the first openly licensed dependency-parsed treebank of Greek that spans…
Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities
Michal Novák, Miloslav Konopík, Anna Nedoluzhko +6
This paper describes the fifth edition of the Shared Task on Multilingual Coreference Resolution, held in conjunction with the CODI-CRAC 2026 workshop. Building on previous iterati…
Stroke Lesions as a Rosetta Stone for Language Model Interpretability
Julius Fridriksson, Roger D. Newman-Norlund, Saeed Ahmadi +10
Large language models (LLMs) have achieved remarkable capabilities, yet methods to verify which model components are truly necessary for language function remain limited. Current i…
ReFRAME or Remain: Unsupervised Lexical Semantic Change Detection with Frame Semantics
Bach Phan-Tat, Kris Heylen, Dirk Geeraerts +2
The majority of contemporary computational methods for lexical semantic change (LSC) detection are based on neural embedding distributional representations. Although these models p…
Transparent Semantic Change Detection with Dependency-Based Profiles
Bach Phan-Tat, Kris Heylen, Dirk Geeraerts +2
Most modern computational approaches to lexical semantic change detection (LSC) rely on embedding-based distributional word representations with neural networks. Despite the strong…
Identifying the Periodicity of Information in Natural Language
Yulin Ou, Yu Wang, Yang Xu +1
Recent theoretical advancement of information density in natural language has brought the following question on desk: To what degree does natural language exhibit periodicity patte…