Results 31 to 40 of about 179,036 (364)

Trajectory Generator System for a UR5 Collaborative Robot in 2D and 3D Surfaces

open access: yesMachines, 2023
In Industry 4.0., robots are regarded as one of the key components. In recent years, collaborative robots (cobots) have risen in relevance and have been included in the industry to perform tasks alongside humans.
Alberto Adrián Toledano-García   +4 more
doaj   +1 more source

Taggers for parsers

open access: yesArtificial Intelligence, 1996
AbstractWe consider what tagging models are most appropriate as front ends for probabilistic context-free grammar parsers. In particular, we ask if using a “multiple tagger”, a tagger that returns more than one tag, improves parsing performance. Our conclusion is somewhat surprising: single-tag Markov-model taggers are quite adequate for the task ...
Yoshihiko Gotoh   +7 more
openaire   +2 more sources

A Fast and Accurate Dependency Parser using Neural Networks

open access: yesConference on Empirical Methods in Natural Language Processing, 2014
Almost all current dependency parsers classify based on millions of sparse indicator features. Not only do these features generalize poorly, but the cost of feature computation restricts parsing speed significantly.
Danqi Chen, Christopher D. Manning
semanticscholar   +1 more source

Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset

open access: yesJournal of Open Source Software, 2020
The number of biomedical publications is increasing exponentially every year. If we had the ability to access, manipulate, and link this information, we could extract knowledge that is perhaps hidden within the figures, text, and citations. In particular,
Titipat Achakulvisut   +2 more
semanticscholar   +1 more source

A Minimal Span-Based Neural Constituency Parser [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2017
In this work, we present a minimal neural model for constituency parsing based on independent scoring of labels and spans. We show that this model is not only compatible with classical dynamic programming techniques, but also admits a novel greedy top ...
Mitchell Stern, Jacob Andreas, D. Klein
semanticscholar   +1 more source

Data Analysis Subsystem as a Way of Automating Monitoring and Analysis Processes for Prices in Online Stores

open access: yesСовременные информационные технологии и IT-образование, 2023
The article presents the development of a subsystem for automating the processes of monitoring and analyzing prices of online stores. Nowadays, most companies use the data accumulated in the information system to solve governance problems.
Alla Vsevolodova, Olga Kartasheva
doaj   +1 more source

DESIGN OF NEWMODEL FOR SLR-PARSER [PDF]

open access: yesمجلة جامعة الانبار للعلوم الصرفة, 2008
: In last decades the applications of the computerized system were widely used in various environments, such real time systems, monitoring system and other. These applications need live answer from the programmable system.
Essam T. Yassen
doaj   +1 more source

A Drop-in Replacement for LR(1) Table-Driven Parsing

open access: yesAdvances in Computing and Engineering, 2021
This paper presents a construction method for a deterministic one-symbol look-ahead LR parser which allows non-terminals in the parser look-ahead. This effectively relaxes the requirement of parsing the reverse of the right-most derivation of a string ...
Michael Oudshoorn
doaj   +1 more source

A parser that doesn't [PDF]

open access: yesProceedings of the second conference on European chapter of the Association for Computational Linguistics -, 1985
This paper describes an implemented parser-interpreter which is intended as an abstract formal model of part of the process of sentence comprehension. It is illustrated here for Phrase Structure Grammars with a translation into a familiar type of logical form, although the general principles are intended to apply to any grammatical theory sharing ...
openaire   +3 more sources

An Incremental Parser for Abstract Meaning Representation [PDF]

open access: yesConference 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

Home - About - Disclaimer - Privacy