Results 31 to 40 of about 119,985 (286)
Sampled Weighted Min-Hashing for Large-Scale Topic Mining
, 2015 We present Sampled Weighted Min-Hashing (SWMH), a randomized approach to automatically mine topics from large-scale corpora. SWMH generates multiple random partitions of the corpus vocabulary based on term co-occurrence and agglomerates highly ...
AZ Broder +6 more
core +1 more source
Towards Measuring Adversarial Twitter Interactions against Candidates in the US Midterm Elections
, 2020 Adversarial interactions against politicians on social media such as Twitter have significant impact on society. In particular they disrupt substantive political discussions online, and may discourage people from seeking public office.
Hua, Yiqing +2 more
core +1 more source
Using online linear classifiers to filter spam Emails [PDF]
, 2007 The performance of two online linear classifiers - the Perceptron and Littlestone’s Winnow – is explored for two anti-spam filtering benchmark corpora - PU1 and Ling-Spam.
Jones, Gareth J.F. +2 more
core +1 more source
SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Agree to Disagree: Improving Disagreement Detection with Dual GRUs
, 2017 This paper presents models for detecting agreement/disagreement in online discussions. In this work we show that by using a Siamese inspired architecture to encode the discussions, we no longer need to rely on hand-crafted features to exploit the meta ...
Duppada, Venkatesh, Hiray, Sushant
core +1 more source
Domain adaptation strategies in statistical machine translation: a brief overview [PDF]
, 2015 © Cambridge University Press, 2015.Statistical machine translation (SMT) is gaining interest given that it can easily be adapted to any pair of languages. One of the main challenges in SMT is domain adaptation because the performance in translation drops
Ruiz Costa-Jussà, Marta
core +2 more sources
Advanced Science, EarlyView.This study discovered a new pathway that tells fruit flies when to stop eating. It found that rising blood sugar (fructose) is detected by a sensor called GR43a. This triggers a chain reaction involving the satiety signal sulfakinin and its receptor, ultimately activating a final satiety signal, ILP5.
Hong‐Fei Li +7 more
wiley +1 more source
Exploring mega-corpora: Google Ngram Viewer and the Corpus of Historical American English
EuroAmerican Journal of Applied Linguistics and Languages, 2014 The creation of internet-based mega-corpora such as the Corpus of Contemporary American English (COCA), the Corpus of Historical American English (COHA) (Davies, 2011a) and the Google Ngram Viewer (Cohen, 2010) signals a new phase in corpus-based ...
Eric Friginal +2 more
doaj +1 more source
Enroller: an experiment in aggregating resources [PDF]
, 2013 This chapter describes a collaborative project between e-scientists and humanists working to create an online repository of linguistic data sets and tools. Corpora, dictionaries, and a thesaurus are brought together to enable a new method of research. It
Anderson, J.
core
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Advanced Science, EarlyView.Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source