Semantic plausibility preferentially affects the semantic preview benefit in Chinese reading: evidence from an eye-movement study [PDF]
Background Numerous studies have confirmed that skilled readers can benefit from a semantically related preview word (i.e., semantic preview benefit, SPB), suggesting that readers can extract semantic information from the parafovea to achieve efficient ...
Lijuan Zhang +3 more
doaj +2 more sources
Multilingual Semantic Relatedness Using Lightweight Machine Translation [PDF]
Distributional semantic models are strongly dependent on the size and the quality of the reference corpora, which embeds the commonsense knowledge necessary to build comprehensive models. While high-quality texts containing large-scale commonsense information are present in English, such as Wikipedia, other languages may lack sufficient textual support
Barzegar, Siamak +3 more
openaire +3 more sources
An explicit semantic relatedness measure based on random walk
The semantic relatedness calculation of open domain knowledge network is a significant issue.In this paper,pheromone strategy is drawn from the thought of ant colony algorithm and is integrated into the random walk which is taken as the basic framework ...
HU Sihui, ZHANG Bo, SONG Qianqian
doaj +1 more source
Semantic relatedness based re-ranker for text spotting [PDF]
Applications such as textual entailment, plagiarism detection or document clustering rely on the notion of semantic similarity, and are usually approached with dimension reduction techniques like LDA or with embedding-based neural approaches.
Moreno-Noguer, Francesc +2 more
core +2 more sources
Microblog Semantic Retrieval Based on Latent Semantic and Graph Structure [PDF]
The characteristics of microblog such as short text,sparse feature and the semantic gap between users’ query may reduce semantic retrieval efficiency.Aiming at these problems,taking into account both text feature and semantic of knowledge base,a semantic
XIAO Bao,LI Pu,HU Jiaojiao,JIANG Yuncheng
doaj +1 more source
Do Multi-Sense Embeddings Improve Natural Language Understanding? [PDF]
Learning a distinct representation for each sense of an ambiguous word could lead to more powerful and fine-grained models of vector-space representations. Yet while `multi-sense' methods have been proposed and tested on artificial word-similarity tasks,
Jurafsky, Dan, Li, Jiwei
core +1 more source
Visual Semantic Relatedness Dataset for Image Captioning
Project Page: bit.ly/project-page ...
Sabir, Ahmed +2 more
openaire +3 more sources
Personalized recommendations to cold start user is one of the significant challenges in information filtering systems. Most of the existing systems inherited the idea of collaborative filtering (CF) and avoids the item metadata.
Senthilselvan Natarajan +6 more
doaj +1 more source
Extended Vector Space Model with Semantic Relatedness on Java Archive Search Engine
Byte code as information source is a novel approach which enable Java archive search engine to be built without relying on another resources except the Java archive itself [1]. Unfortunately, its effectiveness is not considerably high since some relevant
Oscar Karnalim
doaj +1 more source
Sentence context prevails over word association in aphasia patients with spared comprehension : evidence from N400 event-related potential [PDF]
Behavioral and event-related potential (ERP) studies on aphasia patients showed that lexical information is not lost but rather its integration into the working context is hampered.
De Letter, Miet +4 more
core +1 more source

