Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
331
result(s) for
"Similarity judgment."
Sort by:
Same same
Simple text and color illustrations show things that are alike in function or appearance.
Book
MCRWR: a new method to measure the similarity of documents based on semantic network
Background
Besides Boolean retrieval with medical subject headings (MeSH), PubMed provides users with an alternative way called “Related Articles” to access and collect relevant documents based on semantic similarity. To explore the functionality more efficiently and more accurately, we proposed an improved algorithm by measuring the semantic similarity of PubMed citations based on the MeSH-concept network model.
Results
Three article similarity networks are obtained using MeSH-concept random walk with restart (MCRWR), MeSH random walk with restart (MRWR) and PubMed related article (PMRA) respectively. The area under receiver operating characteristic (ROC) curve of MCRWR, MRWR and PMRA is 0.93, 0.90, and 0.67 respectively. Precisions of MCRWR and MRWR under various similarity thresholds are higher than that of PMRA. Mean value of P5 of MCRWR is 0.742, which is much higher than those of MRWR (0.692) and PMRA (0.223). In the article semantic similarity network of “Genes & Function of organ & Disease” based on MCRWR algorithm, four topics are identified according to golden standards.
Conclusion
MeSH-concept random walk with restart algorithm has better performance in constructing article semantic similarity network, which can reveal the implicitly semantic association between documents. The efficiency and accuracy of retrieving semantic-related documents have been improved a lot.
Journal Article
Sorting with snakes
Offers lessons in sorting and similarities along with information on snakes.
Book
Qualia structures collapse for geometric shapes, but not faces, when spatial attention is withdrawn
Abstract
Top-down attentional amplification is often assumed to affect ‘what’ we see, that is, the contents of conscious experience. Previously, this claim has been examined by studies that manipulated attention and characterized conscious perception in binary categorical labels (e.g. seen versus unseen). However, these categorical judgments are not powerful enough to characterize the quality of conscious perception, or ‘how’ we see, or qualia, for short. To address this, we introduce a similarity rating paradigm to consciousness research that tries to characterize the attentional effects on the structure of the quality of experience, or qualia structures for short. Under the dual-task paradigm, participants rated the similarity of stimulus pairs in the periphery. We used three stimulus sets, the rotated letters ‘L’ and ‘T’ (N = 14), rotated red/green bisected disks (N = 14) or greyscale faces (N = 13). The similarity ratings of all the pairs described the phenomenological relationships between the stimuli, and served as a proxy for the qualia structure of conscious experience of the stimuli; which we characterized with dimension reduction and an unsupervised optimal transport alignment technique. We found that alignment accuracy remained high for face qualia structures under both full and poor attention. Withdrawal of attention collapsed qualia structures for letters and disks. Extending previous dual-task approaches from binary categorizations to relational judgments, our approach establishes a novel pathway to elucidate qualia structures.
Journal Article
How language influences spatial thinking, categorization of motion events, and gaze behavior: a cross-linguistic comparison
According to Talmy, in verb-framed languages (e.g., French), the core schema of an event (Path) is lexicalized, leaving the co-event (Manner) in the periphery of the sentence or optional; in satellite-framed languages (e.g., English), the core schema is jointly expressed with the co-event in construals that lexicalize Manner and express Path peripherally. Some studies suggest that such differences are only surface differences that cannot influence the cognitive processing of events, while others support that they can constrain both verbal and non-verbal processing. This study investigates whether such typological differences, together with other factors, influence visual processing and decision-making. English and French participants were tested in three eye-tracking tasks involving varied Manner–Path configurations and language to different degrees. Participants had to process a target motion event and choose the variant that looked most like the target (non-verbal categorization), then describe the events (production), and perform a similarity judgment after hearing a target sentence (verbal categorization). The results show massive cross-linguistic differences in production and additional partial language effects in visualization and similarity judgment patterns – highly dependent on the salience and nature of events and the degree of language involvement. The findings support a non-modular approach to language–thought relations and a fine-grained vision of the classic lexicalization/conflation theory.
Journal Article
Using drawings and deep neural networks to characterize the building blocks of human visual similarity
Early in life and without special training, human beings discern resemblance between abstract visual stimuli, such as drawings, and the real-world objects they represent. We used this capacity for visual abstraction as a tool for evaluating deep neural networks (DNNs) as models of human visual perception. Contrasting five contemporary DNNs, we evaluated how well each explains human similarity judgments among line drawings of recognizable and novel objects. For object sketches, human judgments were dominated by semantic category information; DNN representations contributed little additional information. In contrast, such features explained significant unique variance perceived similarity of abstract drawings. In both cases, a vision transformer trained to blend representations of images and their natural language descriptions showed the greatest ability to explain human perceptual similarity—an observation consistent with contemporary views of semantic representation and processing in the human mind and brain. Together, the results suggest that the building blocks of visual similarity may arise within systems that learn to use visual information, not for specific classification, but in service of generating semantic representations of objects.
Journal Article
Sound Symbolism in Basic Vocabulary
The relationship between meanings of words and their sound shapes is to a large extent arbitrary, but it is well known that languages exhibit sound symbolism effects violating arbitrariness. Evidence for sound symbolism is typically anecdotal, however. Here we present a systematic approach. Using a selection of basic vocabulary in nearly one half of the world’s languages we find commonalities among sound shapes for words referring to same concepts. These are interpreted as due to sound symbolism. Studying the effects of sound symbolism cross-linguistically is of key importance for the understanding of language evolution.
Journal Article