Results 61 to 70 of about 2,639,905 (339)
Software Infrastructure for Natural Language Processing
We classify and review current approaches to software infrastructure for research, development and delivery of NLP systems. The task is motivated by a discussion of current trends in the field of NLP and Language Engineering.
Cunningham, Hamish +3 more
core +4 more sources
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Characterizing Phishing Threats with Natural Language Processing
Spear phishing is a widespread concern in the modern network security landscape, but there are few metrics that measure the extent to which reconnaissance is performed on phishing targets.
Kotson, Michael C., Schulz, Alexia
core +1 more source
Natural language processing: state of the art, current trends and challenges [PDF]
Natural language processing (NLP) has recently gained much attention for representing and analyzing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction,
Diksha Khurana +3 more
semanticscholar +1 more source
Production of antibacterial compounds by a Steely hybrid polyketide synthase in Dictyostelium
By selecting appropriate production species under optimised culture conditions, new chlorinated dibenzofuran compounds, which previously could not be analysed in sufficient quantities, were identified from cellular slime mould fruiting bodies. The strong antibacterial activity exhibited by these compounds suggests a link to the ecological function of ...
Tomoaki R. Yamashita +3 more
wiley +1 more source
Automatic text summarization (ATS), alongside neural machine translation or question answering, is one of the leading tasks in Natural Language Processing (NLP).
Adam Hajek, Ales Horak
doaj +1 more source
Sublemma-Based Neural Machine Translation
Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is not always possible
Thien Nguyen, Huu Nguyen, Phuoc Tran
doaj +1 more source
Language Without Words: A Pointillist Model for Natural Language Processing
This paper explores two separate questions: Can we perform natural language processing tasks without a lexicon?; and, Should we? Existing natural language processing techniques are either based on words as units or use units such as grams only for basic ...
Crandall, Jedidiah +6 more
core +1 more source
Induction of diabetes in three different mouse strains uniformly resulted in an increase in TNAP activity and a reduction in pyrophosphate (PPi) in the circulation. Inhibition of TNAP restored plasma PPi. Diabetes‐induced calcification in the media layer of the aorta was detected only in the Abcc6−/− strain, which is predisposed to ectopic ...
Krisztina Fülöp +13 more
wiley +1 more source
VoicePAT: An Efficient Open-Source Evaluation Toolkit for Voice Privacy Research
Speaker anonymization is the task of modifying a speech recording such that the original speaker cannot be identified anymore. Since the first Voice Privacy Challenge in 2020, along with the release of a framework, the popularity of this research topic ...
Sarina Meyer +2 more
doaj +1 more source

