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Hits 1 – 14 of 14

1
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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2
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Aligning Actions Across Recipe Graphs ...
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5
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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6
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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7
Generating Instructions at Different Levels of Abstraction ...
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8
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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9
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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10
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings ...
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11
Predictive Dependency Parsing ; Vorhersagendes Dependenzparsing
Köhn, Arne. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2019
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12
The Spoken Wikipedia Corpus collection: Harvesting, alignment and an application to hyperlistening [<Journal>]
Baumann, Timo [Verfasser]; Köhn, Arne [Sonstige]; Hennig, Felix [Sonstige]
DNB Subject Category Language
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13
Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared Task ...
Abstract: In this paper we describe the system submitted by UHH to the CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. We propose a neural architecture based on the concepts of UZH (Makarov et al., 2017), adding new ideas and techniques to their key concept and evaluating different combinations of parameters. The resulting system is a language-agnostic network model that aims to reduce the number of learned edit operations by introducing equivalence classes over graphical features of individual characters. We try to pinpoint advantages and drawbacks of this approach by comparing different network configurations and evaluating our results over a wide range of languages. ... : CoNLL--SIGMORPHON 2018 Shared Task system description paper ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1809.05742
https://dx.doi.org/10.48550/arxiv.1809.05742
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14
An Empirical Analysis of the Correlation of Syntax and Prosody ...
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