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Justin Vasselli

10 papers hereh-index 594 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author7
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.CY1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedknn-seq: Efficient, Extensible kNN-MT Framework

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

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

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…

cs.CL2024

How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments

Yusuke Ide, Yuto Nishida, Justin Vasselli +4

The grammatical knowledge of language models (LMs) is often measured using a benchmark of linguistic minimal pairs, where the LMs are presented with a pair of acceptable and unacce…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.