Results 91 to 100 of about 349,001 (336)
Document Summarization using Word and Part-of-speech based on Attention Mechanism
Automatic text summarization is one of the research hotspots in natural language processing (NLP). Recently, there has been a considerable research interest in summarization.
Fu Zhao +5 more
semanticscholar +1 more source
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
Autoregressive Modelling for Linear Prediction of Ultrasonic Speech
Ultrasonic speech is a novel research area with significant applications: as a speech-aid prosthesis for patients with voice box difficulties, silent speech interfaces, secure mode of communication in mobile phones and as a communication medium in high ...
McLoughlin, Ian V. +3 more
core
Towards the Construction of a Gold Standard Biomedical Corpus for the Romanian Language
Gold standard corpora (GSCs) are essential for the supervised training and evaluation of systems that perform natural language processing (NLP) tasks. Currently, most of the resources used in biomedical NLP tasks are mainly in English.
Maria Mitrofan +2 more
doaj +1 more source
E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov +3 more
wiley +1 more source
Morphological Analysis of the Slovak Language
This paper proposes a new statistic-based method of segmenting words by identification of a suffix. Ability to identify suffix can improve morphological analysis by allowing the classifier to assign tags to words previously unseen in the training corpus.
Daniel Hladek, Jan Stas, Josef Juhar
doaj +1 more source
Towards a standard Part of Speech tagset for the Arabic language
Part of Speech (PoS) tagging is still not very well investigated with respect to the Arabic language. Determining the PoS tags of a word in a particular context is difficult, primarily because there is no use of diacritics in most of contemporary texts ...
Imad Zeroual +2 more
semanticscholar +1 more source
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
N.: Bayesian reinforcement for a probabilistic neural net part-of-speech tagger
. The present paper introduces a novel stochastic model for Part-Of-Speech tagging of natural language texts. While previous statistical approaches, such as Hidden Markov Models, are based on theoretical assumptions that are not always met in natural ...
Part-of-speech Tagger +3 more
core
On the cognitive nature of speech sound systems [PDF]
International audienceDuring the last 50 years, the question of the cognitive nature of phonological units has followed the rhythm of the persistent debate between auditory and motor theories of speech communication.
Schwartz, Jean-Luc +2 more
core +1 more source

