[Eoas-seminar] [Seminar-announce] Scientific Computing Colloquium with Tom Juzek

[eoas-seminar at lists.fsu.edu]

"The Syntactic Acceptability Dataset as a resource for machine learning and linguistic analysis"

Tom Juzek
Assistant Professor,
Department of Modern Languages and Linguistics,
Florida State University

NOTE: Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic. All are welcome to attend.

https://fsu.zoom.us/j/94273595552
Meeting # 942 7359 5552

Wednesday, Oct 26, 2022, Schedule:

* 3:00 to 3:30 PM Eastern Time (US and Canada)
Nespresso & Teatime (in 417 DSL Commons)

* 3:30 to 4:30 PM Eastern Time (US and Canada)
Colloquium - Attend F2F (in 499 DSL) or Virtually (via Zoom)

Abstract:
Linguistic datasets are popular in machine learning, particularly in the emerging field of few shot learning (learning from limited data), as linguistic data is often complex and difficult to generalize from, and thus a welcome challenge (Wang et al. 2020). In this talk, I will outline ongoing research on building a new dataset valuable to both the machine learning community and the linguistic community. The new dataset will be based on COLA (Corpus of Linguistic Acceptability; Warstadt et al. 2018), a popular dataset in machine learning. I will briefly introduce COLA, the challenges it poses, and relevant linguistic distinctions (acceptability vs grammaticality). Further, I will motivate the need for new data, a different kind of data, outline its structure, and its expected relevance to machine learning and linguistics.

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