Search Results for author: Edward Gibson

Found 12 papers, 3 papers with code

Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics

1 code implementation2 Nov 2023 Yuhan Zhang, Edward Gibson, Forrest Davis

We found that probabilities represented by LMs were more likely to align with human judgments of being "tricked" by the NPI illusion which examines a structural dependency, compared to the comparative and the depth-charge illusions which require sophisticated semantic understanding.

A fine-grained comparison of pragmatic language understanding in humans and language models

1 code implementation13 Dec 2022 Jennifer Hu, Sammy Floyd, Olessia Jouravlev, Evelina Fedorenko, Edward Gibson

We perform a fine-grained comparison of language models and humans on seven pragmatic phenomena, using zero-shot prompting on an expert-curated set of English materials.

Grammatical cues to subjecthood are redundant in a majority of simple clauses across languages

no code implementations30 Jan 2022 Kyle Mahowald, Evgeniia Diachek, Edward Gibson, Evelina Fedorenko, Richard Futrell

The conclusion is that grammatical cues such as word order are necessary to convey subjecthood and objecthood in a minority of naturally occurring transitive clauses; nevertheless, they can (a) provide an important source of redundancy and (b) are crucial for conveying intended meaning that cannot be inferred from the words alone, including descriptions of human interactions, where roles are often reversible (e. g., Ray helped Lu/Lu helped Ray), and expressing non-prototypical meanings (e. g., "The bone chewed the dog.

Sentence World Knowledge

The Natural Stories Corpus

1 code implementation LREC 2018 Richard Futrell, Edward Gibson, Hal Tily, Idan Blank, Anastasia Vishnevetsky, Steven T. Piantadosi, Evelina Fedorenko

It is now a common practice to compare models of human language processing by predicting participant reactions (such as reading times) to corpora consisting of rich naturalistic linguistic materials.

Memory access during incremental sentence processing causes reading time latency

no code implementations WS 2016 Cory Shain, Marten Van Schijndel, Richard Futrell, Edward Gibson, William Schuler

Studies on the role of memory as a predictor of reading time latencies (1) differ in their predictions about when memory effects should occur in processing and (2) have had mixed results, with strong positive effects emerging from isolated constructed stimuli and weak or even negative effects emerging from naturally-occurring stimuli.

Sentence

Response to Liu, Xu, and Liang (2015) and Ferrer-i-Cancho and Gómez-Rodríguez (2015) on Dependency Length Minimization

no code implementations1 Oct 2015 Richard Futrell, Kyle Mahowald, Edward Gibson

We address recent criticisms (Liu et al., 2015; Ferrer-i-Cancho and G\'omez-Rodr\'iguez, 2015) of our work on empirical evidence of dependency length minimization across languages (Futrell et al., 2015).

Information content versus word length in natural language: A reply to Ferrer-i-Cancho and Moscoso del Prado Martin [arXiv:1209.1751]

no code implementations25 Jul 2013 Steven T. Piantadosi, Harry Tily, Edward Gibson

Recently, Ferrer i Cancho and Moscoso del Prado Martin [arXiv:1209. 1751] argued that an observed linear relationship between word length and average surprisal (Piantadosi, Tily, & Gibson, 2011) is not evidence for communicative efficiency in human language.

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