Results 71 to 80 of about 197,254 (306)
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta +3 more
wiley +1 more source
COMPUTATIONAL LINGUISTICS AND ARTIFICIAL INTELLIGENCE [PDF]
: Computational linguistics, as an interdisciplinary field combining linguistics and computer science, aims to enable computers to process natural language.
Affas MAAMAR & Hadjer HADJCHERIF
doaj +1 more source
The workshop "Mining Scientific Papers: Computational Linguistics and Bibliometrics" (CLBib 2015), co-located with the 15th International Society of Scientometrics and Informetrics Conference (ISSI 2015), brought together researchers in Bibliometrics and
Atanassova, Iana +2 more
core
A Constructive Mathematic approach for Natural Language formal grammars [PDF]
A mathematical description of natural language grammars has been proposed first by Leibniz. After the definition given by Frege of unsaturated expression and the foundation of a logical grammar by Husserl, the application of logic to treat natural ...
Benini, Dr Marco, Gobbo, Dr Federico
core
Reproducibility in Computational Linguistics: Is Source Code Enough? [PDF]
Mohammad Arvan +2 more
openalex +1 more source
Anatomical Progression of Neuropathology in FTLD‐TDP Type C and Linkage to Annexin A11
Objective Frontotemporal lobar degenerations (FTLD)‐TDP type C (TDP‐C) is distinguished from other FTLD‐TDP subtypes by 3 unique features: (1) invariable onset in the anterior temporal lobe (ATL), (2) phosphorylated TDP‐43 (pTDP) neurites in cortex, and (3) colocalization of all pTDP deposits with annexin A11 (ANXA11).
Allegra Kawles +7 more
wiley +1 more source
Automatic Accuracy Prediction for AMR Parsing
Meaning Representation (AMR) represents sentences as directed, acyclic and rooted graphs, aiming at capturing their meaning in a machine readable format. AMR parsing converts natural language sentences into such graphs.
Frank, Anette, Opitz, Juri
core +1 more source
Objective This 24‐month longitudinal study involving isolated rapid eye movement sleep behavior disorder (iRBD), early‐stage Parkinson's disease (PD), and matched healthy control subjects aimed to assess whether acoustic speech features from real‐world smartphone calls provide passive progressive biomarkers in synucleinopathies.
Michal Šimek +11 more
wiley +1 more source
A Dependency Annotation Scheme to Extract Syntactic Features in Indonesian Sentences
In languages with fixed word orders, syntactic information is useful when solving natural language processing (NLP) problems. In languages like Indonesian, however, which has a relatively free word order, the usefulness of syntactic information has ...
Budi Irmawati +2 more
doaj +1 more source
Towards String-to-Tree Neural Machine Translation
We present a simple method to incorporate syntactic information about the target language in a neural machine translation system by translating into linearized, lexicalized constituency trees.
Aharoni, Roee, Goldberg, Yoav
core +1 more source

