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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 ...
Abstract: We introduce the use of Poincaré embeddings to improve existing state-of-the-art approaches to domain-specific taxonomy induction from text as a signal for both relocating wrong hyponym terms within a (pre-induced) taxonomy as well as for attaching disconnected terms in a taxonomy. This method substantially improves previous state-of-the-art results on the SemEval-2016 Task 13 on taxonomy extraction. We demonstrate the superiority of Poincaré embeddings over distributional semantic representations, supporting the hypothesis that they can better capture hierarchical lexical-semantic relationships than embeddings in the Euclidean space. ... : 7 pages (5 + 2 pages references), 2 Figures, 3 Tables, Accepted to the ACL 2019 conference. Will appear in its proceedings ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1906.02002
https://arxiv.org/abs/1906.02002
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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 ...
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14
An Empirical Analysis of the Correlation of Syntax and Prosody ...
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