Results 41 to 50 of about 169,488 (224)
An Incremental Parser for Abstract Meaning Representation [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2016 Meaning Representation (AMR) is a semantic representation for natural language that embeds annotations related to traditional tasks such as named entity recognition, semantic role labeling, word sense disambiguation and co-reference resolution.
Marco Damonte, Shay B. Cohen, G. Satta
semanticscholar +1 more source
Interworking technology of neural network and data among deep learning frameworks
ETRI Journal, 2019 Based on the growing demand for neural network technologies, various neural network inference engines are being developed. However, each inference engine has its own neural network storage format.
Jaebok Park +4 more
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Design of methodology for incremental compiler construction
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011 The paper deals with possibilities of the incremental compiler construction. It represents the compiler construction possibilities for languages with a fixed set of lexical units and for languages with a variable set of lexical units, too.
Pavel Haluza, Jiří Rybička
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Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
Conference on Computational Natural Language Learning, 2017 This paper describes the neural dependency parser submitted by Stanford to the CoNLL 2017 Shared Task on parsing Universal Dependencies. Our system uses relatively simple LSTM networks to produce part of speech tags and labeled dependency parses from ...
Timothy Dozat +2 more
semanticscholar +1 more source
An AMR Aligner Tuned by Transition-based Parser [PDF]
Conference on Empirical Methods in Natural Language Processing, 2018 In this paper, we propose a new rich resource enhanced AMR aligner which produces multiple alignments and a new transition system for AMR parsing along with its oracle parser.
Yijia Liu +4 more
semanticscholar +1 more source
A Probabilistic Earley Parser as a Psycholinguistic Model
North American Chapter of the Association for Computational Linguistics, 2001 In human sentence processing, cognitive load can be defined many ways. This report considers a definition of cognitive load in terms of the total probability of structural options that have been disconfirmed at some point in a sentence: the surprisal of ...
John Hale
semanticscholar +1 more source
Improving Semantic Dependency Parsing with Higher-Order Information Encoded by Graph Neural Networks
Applied Sciences, 2022 Higher-order information brings significant accuracy gains in semantic dependency parsing. However, modeling higher-order information is non-trivial. Graph neural networks (GNNs) have been demonstrated to be an effective tool for encoding higher-order ...
Bin Li +4 more
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On some innovations in teaching the formal semantics using software tools
Open Computer Science, 2020 In this work we discuss the motivation for innovations and need of a teaching tool for the visualization of the natural semantics method of imperative programming languages. We present the rôle of the teaching software, its design, development and use in
Steingartner William
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Robust Incremental Neural Semantic Graph Parsing
, 2017 Parsing sentences to linguistically-expressive semantic representations is a key goal of Natural Language Processing. Yet statistical parsing has focused almost exclusively on bilexical dependencies or domain-specific logical forms.
Blunsom, Phil, Buys, Jan
core +1 more source
atomium—a Python structure parser [PDF]
Bioinformatics, 2020 AbstractSummaryStructural biology relies on specific file formats to convey information about macromolecular structures. Traditionally this has been the PDB format, but increasingly newer formats, such as PDBML, mmCIF and MMTF are being used. Here we present atomium, a modern, lightweight, Python library for parsing, manipulating and saving PDB, mmCIF ...
Sam M Ireland, Andrew C R Martin
openaire +3 more sources