output
20202026
most citedRevealing emergent human-like conceptual representations from language prediction

9 citations

11 papers

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025★ 6 cited

Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves

Wenjuan Qin, Weiran Wang, Yuming Yang +1

The study investigates the efficacy of pre-trained language models (PLMs) in analyzing argumentative moves in a longitudinal learner corpus. Prior studies on argumentative moves of…

cs.CL2025★ 9 cited

Revealing emergent human-like conceptual representations from language prediction

Ningyu Xu, Qi Zhang, Chao Du +4

People acquire concepts through rich physical and social experiences and use them to understand and navigate the world. In contrast, large language models (LLMs), trained solely th…

cs.CL2024★ 3 cited

Findings of the Third Shared Task on Multilingual Coreference Resolution

Michal Novák, Barbora Dohnalová, Miloslav Konopík +7

The paper presents an overview of the third edition of the shared task on multilingual coreference resolution, held as part of the CRAC 2024 workshop. Similarly to the previous two…

cs.CL2024

Frequency matters: Modeling irregular morphological patterns in Spanish with Transformers

Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney

Over the past decade, various studies have addressed how speakers solve the so-called `The Paradigm Cell Filling Problem' (PCFP) \citep{ackerman2009parts} across different language…