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most citedWorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines

2 citations · 2 across the 9 of their papers we have counts for

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cs.CL2026

Towards Automated Lexicography: Generating and Evaluating Definitions for Learner's Dictionaries

Yusuke Ide, Adam Nohejl, Joshua Tanner +3

Dictionary definitions are an essential resource for learning word senses, but manually creating them is costly. We thus study dictionary definition generation (DDG), i.e., the gen…

cs.CL2025

Multilingual Dialogue Generation and Localization with Dialogue Act Scripting

Justin Vasselli, Eunike Andriani Kardinata, Yusuke Sakai +1

Non-English dialogue datasets are scarce, and models are often trained or evaluated on translations of English-language dialogues, an approach which can introduce artifacts that re…

cs.CL2025

Measuring the Robustness of Reference-Free Dialogue Evaluation Systems

Justin Vasselli, Adam Nohejl, Taro Watanabe

Advancements in dialogue systems powered by large language models (LLMs) have outpaced the development of reliable evaluation metrics, particularly for diverse and creative respons…

cs.CL2025

Dispersion Measures as Predictors of Lexical Decision Time, Word Familiarity, and Lexical Complexity

Adam Nohejl, Taro Watanabe

Various measures of dispersion have been proposed to paint a fuller picture of a word's distribution in a corpus, but only little has been done to validate them externally. We eval…

cs.CL2024

Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction

Takumi Goto, Justin Vasselli, Taro Watanabe

Various evaluation metrics have been proposed for Grammatical Error Correction (GEC), but many, particularly reference-free metrics, lack explainability. This lack of explainabilit…

cs.CL2024

CoAM: Corpus of All-Type Multiword Expressions

Yusuke Ide, Joshua Tanner, Adam Nohejl +4

Multiword expressions (MWEs) refer to idiomatic sequences of multiple words. MWE identification, i.e., detecting MWEs in text, can play a key role in downstream tasks such as machi…

cs.CL2024

Difficult for Whom? A Study of Japanese Lexical Complexity

Adam Nohejl, Akio Hayakawa, Yusuke Ide +1

The tasks of lexical complexity prediction (LCP) and complex word identification (CWI) commonly presuppose that difficult to understand words are shared by the target population. M…

cs.CL2024★ 2 cited

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

Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan +48

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate th…

cs.CL2024

Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?

Adam Nohejl, Frederikus Hudi, Eunike Andriani Kardinata +5

Word frequency is a key variable in psycholinguistics, useful for modeling human familiarity with words even in the era of large language models (LLMs). Frequency in film subtitles…