Results 101 to 110 of about 67,464 (283)
An Efficient Probabilistic Context-Free Parsing Algorithm that Computes Prefix Probabilities [PDF]
, 1993 We describe an extension of Earley's parser for stochastic context-free grammars that computes the following quantities given a stochastic context-free grammar and an input string: a) probabilities of successive prefixes being generated by the grammar; b)
Stolcke, Andreas
core +4 more sources
Geometry‐Enhanced Implicit Function for Detailed Clothed Human Reconstruction With RGB‐D Input
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Realistic human reconstruction embraces an extensive range of applications as depth sensors advance. However, current state‐of‐the‐art methods with RGB‐D input still suffer from artefacts, such as noisy surfaces, non‐human shapes, and depth ambiguity, especially for the invisible parts.
Pengpeng Liu +4 more
wiley +1 more source
A Bottom-Up Design and Implementation for Ambiguity-Compatible Natural Language Sentence Parsing [PDF]
, 2011 Although many theory-focused computer science textbooks give a brief outline of a context-free grammar model of natural language, the approach is often vague and, in reality, greatly simplifies the English language’s grammatical complexities.
Thrasher, Elise
core +1 more source
A Bottom-Up Parsing Model of Local Coherence Effects [PDF]
, 2010 Human sentence processing occurs incrementally. Most models of human processing rely on parsers that always build connected tree structures. But according to the theory of Good Enough parsing (Ferreira & Patson, 2007), humans parse sentences using small chunks of local information, not alwaysforming a globally coherent parse.
Morgan, Emily +2 more
openaire +2 more sources
Understanding the bottom-up SLR parser [PDF]
, 1994 Sami Khuri, J. D. Williams
openalex +1 more source
Water stress: Opportunities for supply chain research
Production and Operations Management, EarlyView., 2023 Abstract Driven by climate change and overuse, water stress is a worsening sustainability concern that threatens businesses and communities across the globe. Leading global organizations such as the United Nations have expressed an urgent need for sustainable water management strategies across nations and economies.
Dustin Cole +4 more
wiley +1 more source
A machine‐learning‐driven data labeling pipeline for scientific analysis in MLExchange
Journal of Applied Crystallography, EarlyView.A web‐based labeling pipeline is introduced that accelerates the annotation of large scientific data sets with artificial‐intelligence‐guided tagging techniques.This study introduces a novel labeling pipeline to accelerate the labeling process of scientific data sets by using artificial intelligence (AI)‐guided tagging techniques.
Tanny Chavez +13 more
wiley +1 more source
Joint Video and Text Parsing for Understanding Events and Answering Queries [PDF]
arXiv, 2013 We propose a framework for parsing video and text jointly for understanding events and answering user queries. Our framework produces a parse graph that represents the compositional structures of spatial information (objects and scenes), temporal information (actions and events) and causal information (causalities between events and fluents) in the ...
arxiv
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Despite gaining significant attention in recent years, it remains unclear whether mycorrhizal fungi distribute meaningful amounts of resources among trees in ways that increase the fitness of the receiving trees. To investigate this, we used pairs of shaded and unshaded
Stav Livne‐Luzon +4 more
wiley +1 more source
Parsing Combinatory Categorial Grammar with Answer Set Programming: Preliminary Report [PDF]
arXiv, 2011 Combinatory categorial grammar (CCG) is a grammar formalism used for natural language parsing. CCG assigns structured lexical categories to words and uses a small set of combinatory rules to combine these categories to parse a sentence. In this work we propose and implement a new approach to CCG parsing that relies on a prominent knowledge ...
arxiv