Adam Nohejl

Orcid: 0009-0001-3482-2470

According to our database1, Adam Nohejl authored at least 15 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?
CoRR, May, 2026

Towards Automated Lexicography: Generating and Evaluating Definitions for Learner's Dictionaries.
CoRR, January, 2026

An AI-Assisted Co-planning System for Early English Reading Practice.
Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025
Dispersion Measures as Predictors of Lexical Decision Time, Word Familiarity, and Lexical Complexity.
CoRR, January, 2025

A Japanese Dataset and Efficient Multilingual LLM-Based Methods for Lexical Simplification and Lexical Complexity Prediction.
J. Nat. Lang. Process., 2025


Measuring the Robustness of Reference-Free Dialogue Evaluation Systems.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?
Proceedings of the 31st International Conference on Computational Linguistics, 2025

CoAM: Corpus of All-Type Multiword Expressions.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Difficult for Whom? A Study of Japanese Lexical Complexity.
CoRR, 2024

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines.
CoRR, 2024

Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates.
CoRR, 2024


2023
NAISTeacher: A Prompt and Rerank Approach to Generating Teacher Utterances in Educational Dialogues.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Japanese Lexical Complexity for Non-Native Readers: A New Dataset.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023


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