Results 61 to 70 of about 1,557,064 (174)
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
Frontiers in Dentistry, 2022 Objectives: Incorporation of fillers might improve the physical properties of sealants. This systematic review and meta-analysis evaluated the retention and caries development rate of filled and unfilled fissure sealants.
Elmira Bagheri +2 more
doaj
BMC Cardiovascular Disorders, 2020 Background Previous clinical studies have suggested that trimethylamine-N-oxide (TMAO) could contribute to the development of atherosclerosis cardiovascular disease.
Miao-En Yao +3 more
doaj +1 more source
Meta-analysis of macrophage nanoparticle targeting across blood and solid tumors using an eLDA Topic modeling Machine Learning approach [PDF]
, 2023 Chloe Brown +5 more
openalex +1 more source
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
International Brazilian Journal of UrologyWe conducted a systematic review and meta-analysis of the literature on the efficacy of the targeted therapies in the treatment of advanced RCC and, via an indirect comparison, to provide an optimal treatment among these agents.
Chao Wei +3 more
doaj +1 more source
BMC Medical Research Methodology, 2012 Background Depression is common in primary care and clinicians are encouraged to screen their patients. Meta-analyses have evaluated the effectiveness of screening, but two author groups consistently reached completely opposite conclusions.
Goodyear-Smith Felicity A +3 more
doaj +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
BMC Medical Research Methodology, 2016 Background As a part of a larger Health Technology Assessment (HTA), the measurement error of a device used to monitor the hemoglobin concentration of a patient undergoing surgery, as well as its decision consequences, were to be estimated from published
Emmanuel Charpentier +4 more
doaj +1 more source
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