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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 14 of 14 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Aligning Actions Across Recipe Graphs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Biswas, Debanjali; Donatelli, Lucia. - : Underline Science Inc., 2021 BASE Show details 5 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 6 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 7 Generating Instructions at Different Levels of Abstraction ... The 28th International Conference on Computational Linguistics 2020; Hoffmann, Jörg; Höller, Daniel; Köhn, Arne; Koller, Alexander; Torralba, Álvaro; Wichlacz, Julia. - : Underline Science Inc., 2020 Abstract: When generating technical instructions, it is often convenient to describe complex objects in the world at different levels of abstraction. A novice user might need an object explained piece by piece, while for an expert, talking about the complex object (e.g. a wall or railing) directly may be more succinct and efficient. We show how to generate building instructions at different levels of abstraction in Minecraft. We introduce the use of hierarchical planning to this end, a method from AI planning which can capture the structure of complex objects neatly. A crowdsourcing evaluation shows that the choice of abstraction level matters to users, and that an abstraction strategy which balances low-level and high-level object descriptions compares favorably to ones which don’t. ... Keyword: Computer and Information Science; Natural Language Processing; Neural Network URL: https://underline.io/lecture/6296-generating-instructions-at-different-levels-of-abstraction https://dx.doi.org/10.48448/9ecx-eq63 BASE Hide details 8 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 9 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 10 Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings ... Aly, Rami; Acharya, Shantanu; Ossa, Alexander. - : arXiv, 2019 BASE Show details 11 Predictive Dependency Parsing ; Vorhersagendes Dependenzparsing Köhn, Arne. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2019 BASE Show details 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 Show details 13 Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared Task ... Schröder, Fynn; Kamlot, Marcel; Billing, Gregor. - : arXiv, 2018 BASE Show details 14 An Empirical Analysis of the Correlation of Syntax and Prosody ... Köhn, Arne; Baumann, Timo; Dörfler, Oskar. - : arXiv, 2018 BASE Show details

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