24 citations · 45 across the 9 of their papers we have counts for
9 papers
Acoustic correlates of the syllabic rhythm of speech: Modulation spectrum or local features of the temporal envelope
Yuran Zhang, Jiajie Zou, Nai Ding
The syllable is a perceptually salient unit in speech. Since both the syllable and its acoustic correlate, i.e., the speech envelope, have a preferred range of rhythmicity between…
Language Cognition and Language Computation -- Human and Machine Language Understanding
Shaonan Wang, Nai Ding, Nan Lin +2
Language understanding is a key scientific issue in the fields of cognitive and computer science. However, the two disciplines differ substantially in the specific research questio…
Interpretation and Analysis of the Steady-State Neural Response to Complex Sequential Structures: a Methodological Note
Nai Ding
Frequency tagging is a powerful approach to investigate the neural processing of sensory features, and is recently adapted to study the neural correlates of superordinate structure…
Complex Mapping between Neural Response Frequency and Linguistic Units in Natural Speech
Yuran Zhang, Jiajie Zou, Nai Ding
When listening to connected speech, human brain can extract multiple levels of linguistic units, such as syllables, words, and sentences. It has been hypothesized that the time sca…
The Neural Correlates of Linguistic Structure Building: Comments on Kazanina & Tavano (2022)
Nai Ding
A recent perspective paper by Kazanina & Tavano (referred to as the KT perspective in the following) argues how neural oscillations cannot provide a potential neural correlate for…
Human Attention during Goal-directed Reading Comprehension Relies on Task Optimization
Jiajie Zou, Yuran Zhang, Jialu Li +2
The computational principles underlying attention allocation in complex goal-directed tasks remain elusive. Goal-directed reading, i.e., reading a passage to answer a question in m…
PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales
Jiajie Zou, Yuran Zhang, Peiqing Jin +3
Pre-trained language models achieves high performance on machine reading comprehension (MRC) tasks but the results are hard to explain. An appealing approach to make models explain…
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
Jieyu Lin, Jiajie Zou, Nai Ding
Pre-trained language models have achieved human-level performance on many Machine Reading Comprehension (MRC) tasks, but it remains unclear whether these models truly understand la…
A Structure-based Memory Maintenance Model for Neural Tracking of Linguistic Structures
Nai Ding
It is recently demonstrated that cortical activity can track the time courses of phrases and sentences during speech listening. Here, we propose a plausible neural processing frame…