Results 61 to 70 of about 33,522 (256)

Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi   +4 more
wiley   +1 more source

Learning Graph Embeddings from WordNet-based Similarity Measures

open access: yes, 2019
We present path2vec, a new approach for learning graph embeddings that relies on structural measures of pairwise node similarities. The model learns representations for nodes in a dense space that approximate a given user-defined graph distance measure ...
Biemann, Chris   +4 more
core   +1 more source

WordNet and wikipedia connection in Turkish WordNet KeNet

open access: yes, 2022
This paper aims to present WordNet and Wikipedia connection by linking synsets from Turkish WordNet KeNet with Wikipedia and thus, provide a better machine-readable dictionary to create an NLP model with rich data. For this purpose, manual mapping between two resources is realized and 11,478 synsets are linked to Wikipedia.
Doğan, Merve   +5 more
openaire   +1 more source

Leveraging relatedness‐based measures in people with language disorders: A scoping review

open access: yesJournal of Neuropsychology, EarlyView.
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 participants, offer the opportunity to harness novel computational and analytical ...
Logan A. Gaudet   +6 more
wiley   +1 more source

Extending, trimming and fusing WordNet for technical documents [PDF]

open access: yes, 2001
This paper describes a tool for the automatic extension and trimming of a multilingual WordNet database for cross-lingual retrieval and multilingual ontology building in intranets and domain-specific document collections.
Vossen, P.
core   +2 more sources

One Homonym per Translation

open access: yes, 2020
The study of homonymy is vital to resolving fundamental problems in lexical semantics. In this paper, we propose four hypotheses that characterize the unique behavior of homonyms in the context of translations, discourses, collocations, and sense ...
Hauer, Bradley, Kondrak, Grzegorz
core   +1 more source

Multi-Fusion Chinese WordNet (MCW) : Compound of Machine Learning and Manual Correction [PDF]

open access: yesarXiv, 2020
Princeton WordNet (PWN) is a lexicon-semantic network based on cognitive linguistics, which promotes the development of natural language processing. Based on PWN, five Chinese wordnets have been developed to solve the problems of syntax and semantics. They include: Northeastern University Chinese WordNet (NEW), Sinica Bilingual Ontological WordNet (BOW)
arxiv  

Utemeljevanje sloWNeta na korpusnih podatkih

open access: yesSlovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2013
Wordnet lahko izdelamo na podlagi že obstoječega tujejezičnega wordneta ali pa kot osnovo za gradnjo vzamemo korpusne podatke. Prvi pristop je preprostejši in enostavnejši, zaradi česar ga razvijalci tudi najpogosteje uporabljajo.
Darja Fišer   +2 more
doaj   +1 more source

3DText: Perceiving sentence-level text on 3-D model of emotions

open access: yesEngineering and Applied Science Research, 2020
Emotion is a psychological process which reveals the sentiments and feelings of a human being. Relating emotions detection process with psychological theory of emotions serves as the strong foundation for the system.
Shalu Choudhary, Shikha Jain
doaj   +1 more source

Towards a Universal Wordnet by Learning from Combined Evidenc [PDF]

open access: yes, 2009
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous applications in areas like NLP, IR, and AI. We propose a methodology for the automatic construction of a large-scale multilingual lexical database where ...
de Melo, G., Weikum, G.
core  

Home - About - Disclaimer - Privacy