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1
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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2
Bi-directional Domain Adaptation Using Weighted MTL ...
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3
What's in a Span? Evaluating the Creativity of a Span-Based Neural Constituency Parser
In: Proceedings of the Society for Computation in Linguistics (2021)
Abstract: Constituency parsing is generally evaluated superficially, particularly in a multiple language setting, with only F-scores being re-ported. As new state-of-the-art chart-based parsers have resulted in a transition from traditional PCFG-based grammars to span-based approaches (Stern et al., 2017; Gaddy et al.,2018), we do not have a good understanding of how such fundamentally different approaches interact with various treebanks as results show improvements across treebanks (Kitaev and Klein, 2018), but it is unclear what influence annotation schemes have on various treebank performance (Kitaev et al., 2019). In particular, a span-based parser’s capability of creating novel rules is an unknown factor. We perform an analysis of how span-based parsing performs across 11 treebanks in order to examine the overall behavior of this parsing approach and the effect of the treebanks’ specific annotations on results. We find that the parser tends to prefer flatter trees, but the approach works well because it is robust enough to adapt to differences in annotation schemes across treebanks and languages.
Keyword: Computational Linguistics; error analysis; evaluation; multilingual setting; neural constituency parsing; span-based parsing
URL: https://scholarworks.umass.edu/scil/vol4/iss1/35
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1172&context=scil
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4
OCNLI: Original Chinese Natural Language Inference ...
Hu, Hai; Richardson, Kyle; Xu, Liang. - : arXiv, 2020
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5
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity
In: Proceedings of the Society for Computation in Linguistics (2020)
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6
Language technology for digital humanities: introduction to the special issue [<Journal>]
Hinrichs, Erhard [Verfasser]; Hinrichs, Marie [Verfasser]; Kübler, Sandra [Verfasser].
DNB Subject Category Language
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7
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity ...
Hu, Hai; Chen, Qi; Richardson, Kyle. - : arXiv, 2019
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8
[tiger2] As a standardized serialisation for ISO 24615 - SynAF
Pareja-Lora, Antonio [Verfasser]; Zeldes, Amir [Verfasser]; Romary, Laurent [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
DNB Subject Category Language
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9
Interrelating Treebanks with Language-Specific Descriptions of Information Structure
Kübler, Sandra [Herausgeber]; Hinrichs, Erhard [Herausgeber]; Wunsch, Holger [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
DNB Subject Category Language
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10
Detecting Syntactic Features of Translated Chinese ...
Hu, Hai; Li, Wen; Kübler, Sandra. - : arXiv, 2018
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11
Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior
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12
Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior
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13
From Discourse Representation Structure to Event Semantics: A Simple Conversion?
Dakota, Daniel [Verfasser]; Kübler, Sandra [Verfasser]; Ganzha, Maria [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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14
How to Compare Treebanks
Kübler, Sandra [Verfasser]; Maier, Wolfgang [Verfasser]; Rehbein, Ines [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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15
IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter
Liu, Can [Verfasser]; Li, Wen [Verfasser]; Demarest, Bradford [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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16
Why is it so difficult to compare treebanks? TIGER and TüBa-D
Rehbein, Ines [Verfasser]; Van Genabith, Josef [Verfasser]; De Smedt, Koenraad [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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17
Parsing German: How Much Morphology Do We Need?
Maier, Wolfgang [Verfasser]; Kübler, Sandra [Verfasser]; Dakota, Daniel [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
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18
“My Curiosity was Satisfied, but not in a Good Way”: Predicting User Ratings for Online Recipes
Liu, Can [Verfasser]; Guo, Chun [Verfasser]; Dakota, Daniel [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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19
Do FreeWord Order Languages Need More Treebank Data? Investigating Dative Alternation in German, English, and Russian
Gilmanov, Timur [Verfasser]; Abo Mokh, Noor [Verfasser]; Kim, Evgeny [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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20
Morphological features of the Irish universal dependency treebank
In: Lynn, Teresa, Foster, Jennifer orcid:0000-0002-7789-4853 and Dras, Mark (2017) Morphological features of the Irish universal dependency treebank. In: 15th International Workshop on Treebanks and Linguistic Theories (TLT15), 20-21 Jan 2017, Bloomington, IN, USA. (2017)
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