Search Results for author: Kristina Gligorić

Found 6 papers, 3 papers with code

Othering and low status framing of immigrant cuisines in US restaurant reviews and large language models

1 code implementation14 Jul 2023 Yiwei Luo, Kristina Gligorić, Dan Jurafsky

Through careful linguistic analyses, we evaluate social theories about attitudes toward immigrant cuisine in a large-scale study of framing differences in 2. 1M English language Yelp reviews.

Text Generation

Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?

1 code implementation19 May 2021 Maxime Peyrard, Beatriz Borges, Kristina Gligorić, Robert West

We make progress in both respects by training and analyzing transformer-based humor recognition models on a recently introduced dataset consisting of minimal pairs of aligned sentences, one serious, the other humorous.

Benchmarking Sentence

Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study

no code implementations17 Feb 2021 Kristina Gligorić, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West

To estimate causal effects from the passively observed log data, we control confounds in a matched quasi-experimental design: we identify focal users who at first do not have any regular eating partners but then start eating with a fixed partner regularly, and we match focal users into comparison pairs such that paired users are nearly identical with respect to covariates measured before acquiring the partner, where the two focal users' new eating partners diverge in the healthiness of their respective food choice.

Experimental Design Nutrition

Adoption of Twitter's New Length Limit: Is 280 the New 140?

no code implementations16 Sep 2020 Kristina Gligorić, Ashton Anderson, Robert West

The prevalence of tweets around 140 characters before the switch in a given language is strongly correlated with the prevalence of tweets around 280 characters after the switch in the same language, and very long tweets are vastly more popular on Web clients than on mobile clients.

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