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Donald Dunagan

dblp:297/4563 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 75% Knowledge representation and reasoning · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
cognitive modeling
0.812024
Multipath parsing in the brain · ACL (1) 2024
Natural language and speech › Information extraction and text analysis › syntactic parsing
dependency parsing
0.812024
Multipath parsing in the brain · ACL (1) 2024
Natural language and speech › Information extraction and text analysis › syntactic parsing › dependency parsing
incremental dependency parsing
0.812024
Multipath parsing in the brain · ACL (1) 2024
Natural language and speech › Information extraction and text analysis
syntactic parsing
0.812024
Multipath parsing in the brain · ACL (1) 2024

Methods — techniques the papers use, named apart from their topics

syntactic surprisal · 0.8fMRI correlation · 0.8LLM-adapted encodings · 0.8
YearPublicationVenuePosition
2024 Multipath parsing in the brain
abstract
Humans understand sentences word-by-word, in the order that they hear them.This incrementality entails resolving temporary ambiguities about syntactic relationships.We investigate how humans process these syntactic ambiguities by correlating predictions from incremental generative dependency parsers with timecourse data from people undergoing functional neuroimaging while listening to an audiobook.In particular, we compare competing hypotheses regarding the number of developing syntactic analyses in play during word-by-word comprehension: one vs more than one.This comparison involves evaluating syntactic surprisal from a state-of-the-art dependency parser with LLM-adapted encodings against an existing fMRI dataset.In both English and Chinese data, we find evidence for multipath parsing.Brain regions associated with this multipath effect include bilateral superior temporal gyrus.
Berta Franzluebbers, Donald Dunagan, Milos Stanojevic, Jan Buys, John T. Hale
ACL (1)2