Results 91 to 100 of about 3,592,441 (346)
On ρ-Constrained Upward Topological Book Embeddings [PDF]
, 2010 Giordano, Liotta and Whitesides [1] developed an algorithm that, given an embedded planar st-digraph and a topological numbering ρ of its vertices, computes in O(n2) time a ρ-constrained upward topological book embedding with at most 2n–4 spine crossings per edge. The number of spine crossings per edge is asymptotically worst case optimal.
Mchedlidze, T., Symvonis, A.
openaire +2 more sources
American Journal of Community Psychology, EarlyView.Abstract Mobile technologies have become significant resources for crisis communication and social support in recent years. However, despite empirical evidence pointing to the centrality of these technologies for parenthood in everyday life, it is yet unknown how parents' coping resources play a role in the digital environment.
Daphna Yeshua‐Katz +2 more
wiley +1 more source
InformationOnline conversation communities have become an influential source of consumer recommendations in recent years. We propose a set of meaningful user segments which emerge from user embedding representations, based exclusively on comments’ text input.
Apostolos Skotis, Christos Livas
doaj +1 more source
Toward Word Embedding for Personalized Information Retrieval
, 2016 This paper presents preliminary works on using Word Embedding (word2vec) for query expansion in the context of Personalized Information Retrieval. Traditionally, word embeddings are learned on a general corpus, like Wikipedia.
Gery, Mathias +2 more
core +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT Systems and structures designed to protect and support young people, specifically (in this paper) young women, are ironically the same systems that maintain gender disparity. Consequently, this has influenced the embodied identities of young women who experience and use violence. Such systemic and structural intersectionality has impacted upon
Louise Rak +3 more
wiley +1 more source
Enhanced Transformer-BLSTM Model for Classifying Sentiment of User Comments on Movies and Books
IEEE AccessClassifying the sentiment of user comments on a website is a crucial task within Natural Language Processing (NLP). Conducting sentiment analysis can aid businesses in gaining a more profound comprehension and examination of users’ emotional ...
Yun Lin, Tundong Liu
doaj +1 more source
Reconstruction in German relative clauses : in favor of the matching analysis [PDF]
, 2008 In this paper I argue in favor of a Matching Analysis for German relative clauses. The Head Raising Analysis is shown to fail to account for parts of the reconstruction pattern in German, especially cases where only the external head is interpreted and ...
Salzmann, Martin
core
Australian Journal of Social Issues, EarlyView.ABSTRACT In 2019, the Australian government established the Royal Commission into Violence, Abuse, Neglect and Exploitation of People with Disability (‘Disability Royal Commission’, DRC) to investigate widespread mistreatment of people with disability. Nearly 10,000 people with disability, their families and supporters engaged with the DRC.
Kate D'Cruz +7 more
wiley +1 more source
Prototypical Graph Contrastive Learning for Recommendation
Applied SciencesData sparsity caused by limited interactions makes it challenging for recommendation to accurately capture user preferences. Contrastive learning effectively alleviates this issue by enriching embedding information through the learning of diverse ...
Tao Wei, Changchun Yang, Yanqi Zheng
doaj +1 more source
IEEE Access, 2018 Sentiment classification of online reviews is playing an increasingly important role for both consumers and businesses in cyber-physical-social systems.
Xu Yuan +4 more
doaj +1 more source