Results 131 to 140 of about 6,924 (296)
ACCURACY EVALUATION AND ERROR ANALYSIS OF DEPENDENCY PARSING FOR TEXTS IN UKRAINIAN
Сучасний стан наукових досліджень та технологій в промисловостіThe subject of our research is the dependency parsing of sentences in the Ukrainian language using the Universal Dependencies framework. The goal of the work is to evaluate the accuracy of existing transition-based and graph-based parsing architectures ...
Костянтин Сироткін
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
A generative re-ranking model for dependency parsing [PDF]
, 2009 We propose a framework for dependency parsing based on a combination of discriminative and generative models. We use a discriminative model to obtain a k-best list of candidate parses, and subsequently rerank those candidates using a generative model. We
Zuidema, W. +5 more
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Unbiased Structure Prediction of Sophisticated Cage Structures
Angewandte Chemie, EarlyView.We introduce the software and workflow for automated, unbiased exploration of all possible connectivities of a given set of building blocks and their stoichiometry to predict stable cage structures. ABSTRACT Cage structure prediction has made significant strides by generating structures based on what the community has seen before.
Andrew Tarzia, Giovanni M. Pavan
wiley +2 more sources
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
, 2009 In this thesis, we present the development and evaluation of a suite of annotation tools for unrestricted Irish text, which go from tokenization, morphological analysis, part-of-speech tagging, right through to partial parsing.
Uí Dhonnchadha, Elaine
core
Probing Machine Learning Interatomic Potentials on Ion Transport Properties
Advanced Intelligent Discovery, EarlyView.We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia +2 more
wiley +1 more source
Evaluating automatically acquired f-structures against PropBank [PDF]
, 2005 An automatic method for annotating the Penn-II Treebank (Marcus et al., 1994) with high-level Lexical Functional Grammar (Kaplan and Bresnan, 1982; Bresnan, 2001; Dalrymple, 2001) f-structure representations is presented by Burke et al. (2004b).
Cahill, Aoife +3 more
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Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Chunking and Dependency Parsing
, 2008 Since chunking can be performed efficiently and accurately, it is attractive to use it as a preprocessing step in full parsing stages. We analyze whether providing chunk data to a statistical dependency parser can benefit its accuracy.
Dell'Orletta F., ATTARDI, GIUSEPPE
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