Results 71 to 80 of about 229,295 (345)
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection
Annual Meeting of the Association for Computational Linguistics, 2020 Semantic similarity detection is a fundamental task in natural language understanding. Adding topic information has been useful for previous feature-engineered semantic similarity models as well as neural models for other tasks.
Nicole Peinelt, D. Nguyen, Maria Liakata
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters +17 more
wiley +1 more source
Extracting a Topic Specific Dataset from a Twitter Archive [PDF]
, 2015 Datasets extracted from the microblogging service Twitter are often generated using specific query terms or hashtags. We describe how a dataset produced using the query term ‘syria’ can be increased in size to include tweets on the topic of Syria that do not contain that query term.
Clare Llewellyn +4 more
openaire +3 more sources
Applied SciencesAs an extension of the transformer architecture, the BERT model has introduced a new paradigm for natural language processing, achieving impressive results in various downstream tasks.
Taehum Um, Namhyoung Kim
doaj +1 more source
R-LDA: Profiling RDF Datasets Using Knowledge-Based Topic Modeling
, 2019 Recently, Linked Open Data (LOD) has experienced an exponential growth via publishing huge volume of datasets on the Web. This vast amount of information needs to be searched, queried, and interlinked easier than before.
Arabnia H. R. +17 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada +6 more
wiley +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Patients requiring long‐term continuous renal replacement therapy (CRRT) generally have poor prognoses. This study evaluated whether adding continuous intravenous sodium infusion (cIVNa) is associated with improved hemodynamics and outcomes in patients undergoing long‐term CRRT for ≥ 7 days.
Akinori Yamaguchi +6 more
wiley +1 more source
Datasets for Navigating Sensitive Topics in Recommendation Systems
Companion Proceedings of the ACM on Web Conference 2025Companion Proceedings of the ACM on Web Conference 2025 ...
Kovacs, Amelia +3 more
openaire +2 more sources
Discovering topics in text datasets by visualizing relevant words
CoRR, 2017 When dealing with large collections of documents, it is imperative to quickly get an overview of the texts' contents. In this paper we show how this can be achieved by using a clustering algorithm to identify topics in the dataset and then selecting and visualizing relevant words, which distinguish a group of documents from the rest of the texts, to ...
Franziska Horn +4 more
openaire +2 more sources
Topic Modeling with Wasserstein Autoencoders [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 We propose a novel neural topic model in the Wasserstein autoencoders (WAE) framework. Unlike existing variational autoencoder based models, we directly enforce Dirichlet prior on the latent document-topic vectors.
Feng Nan +3 more
semanticscholar +1 more source