Results 51 to 60 of about 42,602 (238)
Treebank-based acquisition of wide-coverage, probabilistic LFG resources: project overview, results and evaluation [PDF]
, 2004 This paper presents an overview of a project to acquire wide-coverage, probabilistic Lexical-Functional Grammar (LFG) resources from treebanks. Our approach is based on an automatic annotation algorithm that annotates “raw” treebank trees with LFG f ...
Burke, Michael +4 more
core +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
GlossaA large-scale corpus-based analysis of affix distribution in Polish locative adjectives provides evidence for (i) a selectional restriction formalized as a product-oriented schema, (ii) selectional restrictions formalized as source-oriented schemas, (iii)
Bartłomiej Czaplicki
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Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus
Journal of Eye Movement Research, 2008 The surprisal of a word on a probabilistic grammar constitutes a promising complexity metric for human sentence comprehension difficulty. Using two different grammar types, surprisal is shown to have an effect on fixation durations and regression ...
Marisa Ferrara Boston +4 more
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Empirical Risk Minimization with Approximations of Probabilistic Grammars [PDF]
, 2010 Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. We present a framework, reminiscent of structural risk minimization, for empirical risk minimization of the parameters of a fixed ...
Cohen, S. B., Smith, N. A.
core +5 more sources
Advanced Science, EarlyView.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Three Generative, Lexicalised Models for Statistical Parsing
, 1997 In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilistic treatment of both subcategorisation and wh-movement.
Collins, Michael
core +5 more sources
A Probabilistic Generative Grammar for Semantic Parsing [PDF]
Proceedings of the 21st Conference on Computational Natural Language
Learning (CoNLL 2017), 2017 We present a generative model of natural language sentences and demonstrate its application to semantic parsing. In the generative process, a logical form sampled from a prior, and conditioned on this logical form, a grammar probabilistically generates the output sentence.
Abulhair Saparov +2 more
openaire +1 more source
The Polymers of Life: Exploring Cellular Function Through Polymer Concepts
Advanced Science, EarlyView.Biomolecular phase separation reveals that a hidden layer of cellular organization is governed by the principles of polymer science. This review bridges polymer physics and cell biology, offering a primer on fundamental concepts, proposing a framework for interrogating cellular function, and synthesizing biophysical methods for decoding macromolecular ...
Mark Chen, Ashutosh Chilkoti
wiley +1 more source
TRAINING TREE ADJOINING GRAMMARS WITH HUGE TEXT CORPUS USING SPARK MAP REDUCE [PDF]
ICTACT Journal on Soft Computing, 2015 Tree adjoining grammars (TAGs) are mildly context sensitive formalisms used mainly in modelling natural languages. Usage and research on these psycho linguistic formalisms have been erratic in the past decade, due to its demanding construction and ...
Vijay Krishna Menon +2 more
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