16 papers · ranked by Valyu relevance
Adriaan Spruyt, Jan De Houwer, Sam Gilbert
We introduce the (extrinsic) relational Simon task as a tool for capturing automatic relational stimulus processing. In three experiments, participants responded to a perceptual relation between two stimuli. Results showed that participants were faster and more accurate to respond when the (task-irrelevant) conceptual…
Maria Arioli, Zaira Cattaneo, Simone Parimbelli, Nicola Canessa
The neurocognitive bases of social cognition have been framed in terms of representing others’ actions through the mirror system and their mental states via the mentalizing network. Alongside representing another person’s actions or mental states, however, social cognitive processing is also shaped by their (mis)match…
Patricia A Alexander
This article offers an overview of the nature and role of relational thinking and relational reasoning in human learning and performance, both of which pertain to the discernment of meaningful patterns within any informational stream. Distinctions between thinking and reasoning relationally are summarized, along with…
Hagit Magen, Michal Tomer-Offen
In many circumstances in everyday life, individuals offload information to external stores (e.g., shopping lists) to compensate for limitations in internal memory. When saving information externally, individuals tend to refrain from actively encoding an additional internal copy of the information, leading to a…
Slavko Žitnik, Marinka Žitnik, Blaž Zupan, Marko Bajec
Background Relation extraction is an essential procedure in literature mining. It focuses on extracting semantic relations between parts of text, called mentions. Biomedical literature includes an enormous amount of textual descriptions of biological entities, their interactions and results of related experiments. To…
Xuesong Du, Pei Sun
Relational integration is essential for learning, working, and living, as we must encode enormous volumes of information and extract their relations to construct knowledge about the environment. Recent research hints that generating distant analogies can temporarily facilitate learners’ state-based relational…
Minyu Chang, Charles Brainerd
Judgments of learning (JOLs) reactivity refers to the finding that the mere solicitation of JOLs modifies subsequent memory performance. One theoretical explanation is the item-specific processing hypothesis, which posits that item-level JOLs redound to the benefit of later memory performance because they enhance…
Halil Kilicoglu, Graciela Rosemblat, Marcelo Fiszman, Dongwook Shin
Background In the era of information overload, natural language processing (NLP) techniques are increasingly needed to support advanced biomedical information management and discovery applications. In this paper, we present an in-depth description of SemRep, an NLP system that extracts semantic relations from PubMed…
Jiayuan Mao, Yuan Yao, Stefan Heinrich, Tobias Hinz + 4 more
'Cornelius Weber' 'Stefan Wermter' 'Zhiyuan Liu' 'Maosong Sun'] The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation. A promising approach is to study generating KGs as a relational representation of…
Guiduo Duan, Jiayu Miao, Tianxi Huang, Wenlong Luo + 1 more
Relation extraction is a popular subtask in natural language processing (NLP). In the task of entity relation joint extraction, overlapping entities and multi-type relation extraction in overlapping triplets remain a challenging problem. The classification of relations by sharing the same probability space will ignore…
Patrick Smith, Steven C. Hayes
Relational models of cognition provide parsimonious and actionable models of generative behavior witnessed in humans. They also inform many current computational analogs of cognition including Deep Neural Networks, Reinforcement Learning algorithms, Self-Organizing Maps, as well as blended architectures that are…
Baldeep Singh, Randall Martyr, Thomas Medland, Jamie Astin + 2 more
'Gordon Hunter' 'Jean-Christophe Nebel'] About fifty years ago, the world’s first fully automated system for trading securities was introduced by Instinet in the US. Since then the world of trading has been revolutionised by the introduction of electronic markets and automatic order execution. Nowadays, financial…
Giuseppe Fusco, Lerina Aversano, Sebastian Ventura
Integrating data from multiple heterogeneous data sources entails dealing with data distributed among heterogeneous information sources, which can be structured, semi-structured or unstructured, and providing the user with a unified view of these data. Thus, in general, gathering information is challenging, and one of…
Songjiang Li, Jinming Cao, Jiao Yang, Yunjiangcan He + 2 more
'Qionghao Huang'] Traditional entity-relationship joint extraction models are typically designed to address generic domain data, which limits their effectiveness when applied to domain-specific applications such as manufacturing. This study presents the DeBERTa-based Potential Relationship Multi-Headed Self-Attention…
Jinsoo Lee, Minh-Duc Pham, Jihwan Lee, Wook-Shin Han + 3 more
'Hwanjo Yu' 'Jeong-Hoon Lee'] Background As the Resource Description Framework (RDF) data model is widely used for modeling and sharing a lot of online bioinformatics resources such as Uniprot (dev.isb-sib.ch/projects/uniprot-rdf) or Bio2RDF (bio2rdf.org), SPARQL - a W3C recommendation query for RDF databases - has…
Naoual El aboudi, Laila Benhlima
The growing amount of data in healthcare industry has made inevitable the adoption of big data techniques in order to improve the quality of healthcare delivery. Despite the integration of big data processing approaches and platforms in existing data management architectures for healthcare systems, these architectures…