Results 41 to 50 of about 1,880,945 (215)
Two knowledge-based methods for High-Performance Sense Distribution Learning [PDF]
, 2018 Knowing the correct distribution of senses within a corpus can potentially boost the performance of Word Sense Disambiguation (WSD) systems by many points.
Navigli, Roberto, Pasini, Tommaso
core +1 more source
ComputersMeaning conflation deficiency (MCD) presents a continual obstacle in natural language processing (NLP), especially for low-resourced and morphologically complex languages, where polysemy and contextual ambiguity diminish model precision in word sense ...
Mosima A. Masethe +2 more
doaj +1 more source
Semantics, sensors, and the social web: The live social semantics experiments [PDF]
, 2010 The Live Social Semantics is an innovative application that encourages and guides social networking between researchers at conferences and similar events. The application integrates data and technologies from the Semantic Web, online social networks, and
A. Scherrer +7 more
core +6 more sources
Comparative Analysis of Recurrent Neural Network Architectures for Arabic Word Sense Disambiguation
International Conference on Web Information Systems and Technologies, 2022 : Word Sense Disambiguation (WSD) refers to the process of discovering the correct sense of an ambiguous word occurring in a given context. In this paper, we address the problem of Word Sense Disambiguation of low-resource languages such as Arabic ...
R. Saidi, Fethi Jarray, M. Alsuhaibani
semanticscholar +1 more source
On the Proper Treatment of Dynamics in Cognitive Science
Topics in Cognitive Science, EarlyView., 2023 Abstract This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first ...
Randall D. Beer
wiley +1 more source
Enriching Frame Representations with Distributionally Induced Senses [PDF]
, 2018 We introduce a new lexical resource that enriches the Framester knowledge graph, which links Framnet, WordNet, VerbNet and other resources, with semantic features from text corpora.
Biemann, Chris +3 more
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MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
, 2017 Entity linking has recently been the subject of a significant body of research. Currently, the best performing approaches rely on trained mono-lingual models. Porting these approaches to other languages is consequently a difficult endeavor as it requires
Bryl Volha +14 more
core +1 more source
Advanced Intelligent Systems, EarlyView.This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
International Journal of Technology, 2015 Online reviews have a profound impact on the customer or newbie who want to purchase or consume the product via web 2.0 e-commerce. Online reviews contain features which form half of the analysis in opinion mining.
D. Teja Santosh, B. Vishnu Vardhan
doaj +1 more source
Acute Effects of Portable Dry-EEG Neurofeedback on Classical Chinese Learning: A Three-Arm Repeated-Measures Study. [PDF]
Brain BehavPortable dry‐EEG neurofeedback significantly enhances attention and semantic processing during Classical Chinese learning. Real‐time Beta/(Alpha+Theta) modulation improved comprehension, reduced cognitive load, and facilitated conflict resolution, demonstrating practical potential for wearable BCI in educational settings.
Song K, Liu Y, Xu P.
europepmc +2 more sources