| 1 |
Syntactic dependencies correspond to word pairs with high mutual information
|
|
|
|
In: Association for Computational Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Breakdowns in Informativeness of Naturalistic Speech Production in Primary Progressive Aphasia
|
|
|
|
In: MDPI (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Lack of selectivity for syntax relative to word meanings throughout the language network
|
|
|
|
In: PMC (2021)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
No evidence for differences among language regions in their temporal receptive windows
|
|
|
|
In: Elsevier (2021)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Comprehension of computer code relies primarily on domain-general executive brain regions
|
|
|
|
In: eLife (2021)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
The Small and Efficient Language Network of Polyglots and Hyper-polyglots
|
|
|
|
In: bioRxiv (2021)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Composition is the core driver of the language-selective network
|
|
|
|
In: MIT Press (2019)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Toward a universal decoder of linguistic meaning from brain activation
|
|
|
|
In: Nature Communications (2018)
|
|
Abstract:
Prior work decoding linguistic meaning from imaging data has been largely limited to concrete nouns, using similar stimuli for training and testing, from a relatively small number of semantic categories. Here we present a new approach for building a brain decoding system in which words and sentences are represented as vectors in a semantic space constructed from massive text corpora. By efficiently sampling this space to select training stimuli shown to subjects, we maximize the ability to generalize to new meanings from limited imaging data. To validate this approach, we train the system on imaging data of individual concepts, and show it can decode semantic vector representations from imaging data of sentences about a wide variety of both concrete and abstract topics from two separate datasets. These decoded representations are sufficiently detailed to distinguish even semantically similar sentences, and to capture the similarity structure of meaning relationships between sentences. ; United States. Air Force Office of Scientific Research (Contract FA8650-14-C-7358)
|
|
URL: http://hdl.handle.net/1721.1/115267
|
|
BASE
|
|
Hide details
|
|
|
| 9 |
Tracking Colisteners’ Knowledge States During Language Comprehension
|
|
|
|
In: Prof. Gibson via Courtney Crummett (2018)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Neural correlate of the construction of sentence meaning
|
|
|
|
In: PNAS (2016)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Processing temporal presuppositions: an event-related potential study
|
|
|
|
In: Prof. Gibson via Courtney Crummett (2016)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Don’t Underestimate the Benefits of Being Misunderstood
|
|
|
|
In: Prof. Gibson via Courtney Crummett (2016)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Accommodating Presuppositions Is Inappropriate in Implausible Contexts
|
|
|
|
In: Prof. Gibson via Courtney Crummett (2014)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
The interaction of syntactic and lexical information sources in language processing: The case of the noun-verb ambiguity
|
|
|
|
In: Gibson via Courtney Crummett (2012)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Processing relative clauses in supportive contexts
|
|
|
|
In: Gibson via Courtney Crummett (2011)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Some Regions within Broca's Area Do Respond More Strongly to Sentences than to Linguistically Degraded Stimuli: A Comment on Rogalsky and Hickok (2011)
|
|
|
|
In: MIT Press (2011)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Functional specificity for high-level linguistic processing in the human brain
|
|
|
|
In: PNAS (2011)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
The need for quantitative methods in syntax and semantics research
|
|
|
|
In: Gibson via Courtney Crummett (2010)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Language processing in the occipital cortex of congenitally blind
|
|
|
|
In: PNAS (2010)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Weak Quantitative Standards in Linguistics Research ; Trends in Cognitive Science
|
|
|
|
In: Prof. Gibson (2010)
|
|
BASE
|
|
Show details
|
|
|
|
|
