Uncertainty About the Rest of the Sentence

By John Hale. Cognitive Sciences, 2006

304 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/06d659055b37a793fb9e3ed41d6d7cd1202006bf

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Citations in the corpus

Answering Complicated Question Intents Expressed in Decomposed Question Sequences (2016, background): “While cognitive load has not been measured specifically for complicated questions, there have been many studies linking increased sentence complexity to longer reading times (Hale, 2006; Levy, 2008; Frank, 2013).”
Expectation-based syntactic comprehension. (2008, background): “At first glance it would seem impossible to talk about syntactic comprehension without making firm commitment to specific syntactic structures; and in fact there has been a history of differentiating predictions about behavioral metrics on the basis of alternative structural representations, from Mi”
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases (2019, background): “Even for simple queries, people tend to explore the database by asking multiple basic, interrelated questions (Hale, 2006; Levy, 2008; Frank, 2013; Iyyer et al., 2017).”
Consequences of the Now-or-Never bottleneck for signed versus spoken languages (2015, methodology): “…interest in rational, rather processing-based, explanations in cognitive science (e.g., Anderson 1990; Chater et al. 2006 Griffiths & Tenenbaum 2009; Oaksford & Chater 1998; 2007; Tenenbaum et al. 2011), including language processing (Gibson et al. 2013; Hale 2001; 2006; Piantadosi et al. 2011).”
How language production shapes language form and comprehension (2012, background): “…but hasn’t consistently penetrated other comprehension approaches, that there is always ambiguity in the language signal as it unfolds over time, and uncertainties about both the upcoming and the recently encountered signal are a source of processing difficulty (e.g., Hale, 2006; Levy, 2008).”
Search-based Neural Structured Learning for Sequential Question Answering (2017, background): “(2)Studies have shown increased sentence complexity links to longer reading times (Hale, 2006; Levy, 2008; Frank, 2013).”
SParC: Cross-Domain Semantic Parsing in Context (2019, background): “Previous studies have shown that by allowing questions to be constructed sequentially, users can explore the data in a more flexible manner, which reduces their cognitive burden (Hale, 2006; Levy, 2008; Frank, 2013; Iyyer et al., 2017) and increases their involvement when interacting with the system”