Results 121 to 130 of about 803,882 (321)

Automatic transparency evaluation for open knowledge extraction systems. [PDF]

J Biomed Semantics, 2023
Basereh M, Caputo A, Brennan R.
europepmc   +1 more source

Lifelong Learning CRF for Supervised Aspect Extraction [PDF]

arXiv, 2017
This paper makes a focused contribution to supervised aspect extraction. It shows that if the system has performed aspect extraction from many past domains and retained their results as knowledge, Conditional Random Fields (CRF) can leverage this knowledge in a lifelong learning manner to extract in a new domain markedly better than the traditional CRF
arxiv  

Knowledge extraction for identification of Chinese organization names [PDF]

, 2000
Keh-Jiann Chen, Chao-jan Chen
openalex   +1 more source

Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM

Molecular Oncology, EarlyView.
CircRNAs are differentially expressed in glioblastoma primary tumors and might serve as therapeutic targets and diagnostic markers. The investigation of circRNA and RNA‐binding proteins (RBPs) interactions shows that distinct RBPs play a role in circRNA biogenesis and function.
Julia Latowska‐Łysiak, Żaneta Zarębska, Marcin P. Sajek, Adriana Grabowska, Alessia Buratin, Paweł Głodowicz, Julia O. Misiorek, Konrad Kuczyński, Stefania Bortoluzzi, Marek Żywicki, Jan G. Kosiński, Agnieszka Rybak‐Wolf, Rafał Piestrzeniewicz, Anna M. Barciszewska, Katarzyna Rolle   +14 more
wiley   +1 more source

Automated Knowledge Extraction in the Field of Wheat Sharp Eyespot Control

Information
Wheat sharp eyespot is a soil-borne fungal disease commonly found in wheat areas in China, which can occur throughout the entire reproductive period of wheat and has a great impact on the yield and quality of wheat in China.
Keyi Liu, Yunpeng Cui
doaj   +1 more source

Knowledge extraction from webpages

, 2005
https://ceur-ws.org/Vol-185/
Tenier, Sylvain, Napoli, Amedeo, Polanco, Xavier, Toussaint, Yannick   +3 more
openaire   +3 more sources

Web Data Knowledge Extraction

, 2016
A constantly growing amount of information is available through the web. Unfortunately, extracting useful content from this massive amount of data still remains an open issue. The lack of standard data models and structures forces developers to create adhoc solutions from the scratch.
Tirado, Juan M., Serban, Ovidiu, Guo, Qiang, Yoneki, Eiko   +3 more
openaire   +2 more sources

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

Molecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini, Giada Mele, Marika Attili, Maria Rita Assenza, Fulvio Saccoccia, Francesca Sardina, Cinzia Rinaldo, Roberto Massari, Nicola Tirelli, Alfredo Pontecorvi, Fabiola Moretti   +10 more
wiley   +1 more source

A novel knowledge extraction method based on deep learning in fruit domain. [PDF]

Sci Rep, 2022
Liu X, Ma L, Mao T, Zhang M, Li Y, Ren Y.   +5 more
europepmc   +1 more source

The roles and applications of extracellular vesicles in cancer

Molecular Oncology, EarlyView.
Extracellular vesicles (EVs) are minute versions of cells limited by a lipid bilayer containing cytoplasm from the cell that releases them, but without a nucleus and thus unable to self‐reproduce. EVs contain multiple molecules (proteins, lipids, glycans, and nucleic acids) they can induce complex responses in cells.
Clotilde Théry, Daniel Louvard
wiley   +1 more source