26 papers · ranked by Valyu relevance
Diksha Khurana, Aditya Koli, Kiran Khatter, Sukhdev Singh
Natural language processing (NLP) has recently gained much attention for representing and analysing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction, summarization, medical, and question answering etc. The paper…
Yangwen Xu, Yong He, Yanchao Bi
Humans process the meaning of the world via both verbal and nonverbal modalities. It has been established that widely distributed cortical regions are involved in semantic processing, yet the global wiring pattern of this brain system has not been considered in the current neurocognitive semantic models. We review…
Gayane Ghazaryan, Marijn van Vliet, Lotta Lammi, Tiina Lindh-Knuutila + 3 more
Our understanding of the surrounding world and communication with other people are tied to mental representations of concepts. In order for the brain to recognize an object, it must determine which concept to access based on information available from sensory inputs. In this study, we combine magnetoencephalography and…
Penny M. Pexman, Paul D. Siakaluk, Melvin J. Yap
The ultimate goal of reading is to extract meaning from printed words. However, the mechanisms that mediate orthography and semantics are not well-understood, and have rarely been implemented in computational models. To address this puzzle, one of the strategies cognitive scientists have begun to use is to examine…
Qianwen Chang, Elizabeth Jefferies, Rebecca L. Jackson
The relationship between semantics and syntax is highly contested. Neuroimaging evidence has offered conflicting views on whether these domains are neurally separable, in part because prior work has not distinguished two key components of semantic cognition: semantic representation and semantic control. In this study…
Alessandro Lopopolo, Jan Mathijs Schoffelen, Antal van den Bosch, Roel M. Willems
The meaning of a word depends on its lexical semantics and on the context in which it is embedded. At the basis of this lays the distinction between lexical retrieval and integration, two basic operations supporting language comprehension. In this paper, we investigate how lexical retrieval and integration are…
Laura Nieberlein, Sandra Martin, Kathleen A. Williams, Alexander Gussew + 5 more
The ability to integrate semantic information into the context of a sentence is essential for human communication. Several studies have shown that the predictability of a final keyword based on the sentence context influences semantic integration on the behavioral, neurophysiological, and neural level. However, the…
Yotaro Sueoka, Alexander Paunov, Anna Ivanova, Alyx Tanner + 2 more
The language network, comprised of brain regions in the left frontal and temporal cortex, responds robustly and reliably during language comprehension but shows little or no response during many non-linguistic cognitive tasks (e.g., 21). However, one domain whose relationship with language remains debated is…
Emanuel Diamant
—"Information Processing" is a recently launched buzzword whose meaning is vague and obscure even for the majority of its users. The reason for this is the lack of a suitable definition for the term "information". In my attempt to amend this bizarre situation, I have realized that, following the insights of…
Annekathrin Schacht, Manuel Martín-Loeches, Pilar Casado, Rasha Abdel Rahman + 3 more
'Rasha Abdel Rahman' 'Alejandra Sel' 'Werner Sommer' 'Jan Lauwereyns'] Background A crucial question for understanding sentence comprehension is the openness of syntactic and semantic processes for other sources of information. Using event-related potentials in a dual task paradigm, we had previously found that…
Ensie Abbassi, Isabelle Blanchette, Ana I. Ansaldo, Habib Ghassemzadeh + 1 more
'Habib Ghassemzadeh' 'Yves Joanette'] Emotional words are processed rapidly and automatically in the left hemisphere (LH) and slowly, with the involvement of attention, in the right hemisphere (RH). This review aims to find the reason for this difference and suggests that emotional words can be processed superficially…
Kevin Mote
| | | INTRODUCTION: "WHY CAN'T COMPUTERS UNDERSTAND PLAIN ENGLISH?" 1 | | --- | --- | --- | | 1. | THE PURPOSE: | 3 | | 1.1 | | FOUNDATION: "THE HUMAN BRAIN AND COGNITIVE LINGUISTICS" 6 | | 1.2 | | METHODOLOGY: " THE GREAT DEBATE: RULES OR STATISTICS " 9 | | | 1.2.1 | The Rationalists: RULES 10 | | | 1.2.2 | The…
Yan Liu, Chuanbin Ni
Recent years have witnessed much research on semantic analysis and syntactic anatomy in ordinary language processing. However, it is still a matter of considerable debate about when and how the semantic integration of single word meanings works and interacts with syntax during on-line comprehension. This study, in an…
Paul Hoffman
Semantic cognition refers to the appropriate use of acquired knowledge about the world. This requires representation of knowledge as well as control processes which ensure that currently-relevant aspects of knowledge are retrieved and selected. Although these abilities can be impaired selectively following brain…
Dorothee J. Chwilla
Semantics and syntax are core components of language. The prevailing view was that processing of word meaning and syntactic processing happens in isolation from other systems. In light of proofed interactions between language and other systems, especially with perception, action and emotion, this view became untenable.…
Logan A. Gaudet, Lena Rybka, Emmanuel Mandonnet, Emmanuelle Volle + 3 more
'Marion Barberis' 'Roel Jonkers' 'Adrià Rofes'] Title: Abstract Understanding lexico-semantic processing is crucial for dissecting the complexities of language and its disorders. Relatedness-based measures, or those which investigate the degree of relatedness in meaning between either task items or items produced by…
Jason Geller, Jon-Frederick Landrigan, Daniel Mirman
Semantic cognition includes taxonomic and thematic relationships, as well as control systems to retrieve and manipulate semantic knowledge to suit specific tasks or contexts. A recent report ([27]) suggested that retrieving thematic relationships (i.e., relations based on participation in the same event or scenarios)…
Adrian Rebmann, Fabian David Schmidt, Goran Glavaš, Han van der Aa
Tasks Authors: ['Adrian Rebmann' 'Fabian David Schmidt' 'Goran Glava\x9aš' 'Han van der Aa'] Abstract—The process mining community has recently recognized the potential of large language models (LLMs) for tackling various process mining tasks. Initial studies report the capability of LLMs to support process analysis…
Brenden M. Lake, Gregory L. Murphy
Machines have achieved a broad and growing set of linguistic competencies, thanks to recent progress in Natural Language Processing (NLP). Psychologists have shown increasing interest in such models, comparing their output to psychological judgments such as similarity, association, priming, and comprehension, raising…
Authors not listed
The nanosafety domain has seen significant advancements in data generation and sharing, yet challenges remain in ensuring data interoperability and reuse. This article focuses on developing a semantic interoperability framework for nanosafety data to maximize the FAIRness (Findability, Accessibility, Interoperability…
Jenna Hooper, Julia Dengler, David Basilico, Matthew Nelson
Sentence comprehension requires the incremental construction of syntactic structure and semantic interpretation. Prior neural work (25) identified key neural events at major phrase boundaries during sentence comprehension. To investigate a behavioral correlation of these processes, we used self-paced reading to examine…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Rachana Niranjan Murthy, Sai Teja Potu, Akhil Thomas, Lokesh Mishra + 2 more
Retrieving structured materials information from unstructured textual data is essential for data mining and automatically developing comprehensive ontologies. Information extraction is a complex task composed of multiple subtasks and thus often relies on systems of task-specialized language models. A foundation…
Authors not listed
Bayesian optimization (BO) has become increasingly important for experimental optimization across scientific domains, yet implementing BO pipelines requires significant programming expertise and familiarity with specialized frameworks. This creates a barrier for domain experts who could benefit from BO but lack the…
Authors not listed
The scarcity and expense of fatigue data limits optimal design of components and constrains companies to a few well qualified materials when safety-critical applications are concerned. This research investigates different strategies to improve extraction of structured information from unstructured scientific…
Aaron Liu, Myeongyeon Lee, Rahul Venkatesh, Jessica Bonsu + 4 more
Polymer-based semiconductors and organic electronics encapsulate a significant research thrust for informatics-driven materials development. However, device measurements are described by a complex array of design and parameter choices, many of which are sparsely reported. For example, the mobility of a polymer-based…