Results 91 to 100 of about 1,022,373 (272)
Improving Neural Topic Models using Knowledge Distillation [PDF]
arXiv, 2020 Topic models are often used to identify human-interpretable topics to help make sense of large document collections. We use knowledge distillation to combine the best attributes of probabilistic topic models and pretrained transformers. Our modular method can be straightforwardly applied with any neural topic model to improve topic quality, which we ...
arxiv
Molecular Oncology, EarlyView.The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu +3 more
wiley +1 more source
Evolution of Integrated Marketing Communication Research through Latent Dirichlet Allocation (LDA) Analysis [PDF]
Journal of Emerging Trends in Marketing and Management, 2020 Integrated Marketing Communication (IMC) is an area that emerged as a shift in the way MarCom departments were functioning at the beginning of 90's. For the last 30 years, the concept evolved from being a tactical set of actions to a customer-focused ...
Alina Popa, Raluca-Ecaterina Brandabur
doaj
Generating Video Descriptions with Topic Guidance [PDF]
arXiv, 2017 Generating video descriptions in natural language (a.k.a. video captioning) is a more challenging task than image captioning as the videos are intrinsically more complicated than images in two aspects. First, videos cover a broader range of topics, such as news, music, sports and so on. Second, multiple topics could coexist in the same video.
arxiv
Explainable and Discourse Topic-aware Neural Language Understanding [PDF]
arXiv, 2020 Marrying topic models and language models exposes language understanding to a broader source of document-level context beyond sentences via topics. While introducing topical semantics in language models, existing approaches incorporate latent document topic proportions and ignore topical discourse in sentences of the document.
arxiv
Molecular Oncology, EarlyView.The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld +7 more
wiley +1 more source
Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling [PDF]
arXiv, 2019 We introduce Topic Grouper as a complementary approach in the field of probabilistic topic modeling. Topic Grouper creates a disjunctive partitioning of the training vocabulary in a stepwise manner such that resulting partitions represent topics. It is governed by a simple generative model, where the likelihood to generate the training documents via ...
arxiv
Molecular Oncology, EarlyView.Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam +2 more
wiley +1 more source
Jurnal SisfokomBiomedical research has become an essential entity in human life. However, finding trends related to research topics in the health sector contained in the repository is a challenging matter.
Yuri Pamungkas
doaj +1 more source
Transnational Entrepreneurship: Distinctive Features and a New Definition
Technology Innovation Management Review, 2018 Definitions of transnational entrepreneurship are too general making it difficult to understand what distinguishes transnational entrepreneurship from other forms of entrepreneurship. In addition, these definitions identify the “immigrant”, “ethnic”, or “
Eduardo Bailetti
doaj +1 more source