Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities

21 October 2022

Papers citing "Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities"

18 / 18 papers shown

Title
Signatures of human-like processing in Transformer forward passes Jennifer Hu Michael A. Lepori Michael Franke AI4CE 156 0 0 18 Apr 2025
Towards a Similarity-adjusted Surprisal Theory Clara Meister Mario Giulianelli Tiago Pimentel 32 3 0 23 Oct 2024
A Psycholinguistic Evaluation of Language Models' Sensitivity to Argument Roles Eun-Kyoung Rosa Lee Sathvik Nair Naomi Feldman 60 4 0 21 Oct 2024
Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence Abhinav Patil Jaap Jumelet Yu Ying Chiu Andy Lapastora Peter Shen Lexie Wang Clevis Willrich Shane Steinert-Threlkeld 32 13 0 24 May 2024
From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency Xenia Ohmer Elia Bruni Dieuwke Hupkes AI4CE 31 6 0 18 Apr 2024
Computational Sentence-level Metrics Predicting Human Sentence Comprehension Kun Sun Rong Wang 46 0 0 23 Mar 2024
Predictions from language models for multiple-choice tasks are not robust under variation of scoring methods Polina Tsvilodub Hening Wang Sharon Grosch Michael Franke 35 8 0 01 Mar 2024
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality Brielen Madureira Patrick Kahardipraja David Schlangen 39 2 0 20 Feb 2024
$Describing Images $\textit{Fast and Slow}$: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes$ Describing Images $\textit{Fast and Slow}$ : Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes Ece Takmaz Sandro Pezzelle Raquel Fernández 24 1 0 02 Feb 2024
Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures Julius Steuer Marius Mosbach Dietrich Klakow 22 10 0 08 Nov 2023
Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics Yuhan Zhang Edward Gibson Forrest Davis 35 6 0 02 Nov 2023
A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing William Timkey Tal Linzen 11 15 0 24 Oct 2023
When Language Models Fall in Love: Animacy Processing in Transformer Language Models Michael Hanna Yonatan Belinkov Sandro Pezzelle 22 11 0 23 Oct 2023
Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives Mario Giulianelli Sarenne Wallbridge Raquel Fernández 25 13 0 20 Oct 2023
Structural Ambiguity and its Disambiguation in Language Model Based Parsers: the Case of Dutch Clause Relativization G. Wijnholds M. Moortgat 18 3 0 24 May 2023
Dissociating language and thought in large language models Kyle Mahowald Anna A. Ivanova I. Blank Nancy Kanwisher J. Tenenbaum Evelina Fedorenko ELM ReLM 29 209 0 16 Jan 2023
Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times? Byung-Doh Oh William Schuler 19 101 0 23 Dec 2022
Testing the limits of natural language models for predicting human language judgments Tal Golan Matthew Siegelman N. Kriegeskorte Christopher A. Baldassano 22 15 0 07 Apr 2022