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The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021 (2)
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Hits 1 – 18 of 18
1
Bi-directional Domain Adaptation Using Weighted MTL ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Dakota, Daniel
;
Kübler, Sandra
. - : Underline Science Inc., 2021
BASE
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2
Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Dakota, Daniel
;
Sayyed, Zeeshan
. - : Underline Science Inc., 2021
BASE
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3
What's in a Span? Evaluating the Creativity of a Span-Based Neural Constituency Parser
Dakota, Daniel
;
Kübler, Sandra
In: Proceedings of the Society for Computation in Linguistics (2021)
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4
Acoustic Analysis of high vowels in the Louisiana French of Terrebonne Parish
Kasper-Cushman, Kelly
;
Dakota, Daniel
In: IULC Working Papers; Vol 16 No 1 (2016) ; 1524-2110 (2018)
BASE
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5
Brown clustering for unlexicalized parsing
Dakota, Daniel
[Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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6
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
Show details
7
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
Show details
8
Parsing German: How Much Morphology Do We Need?
Maier, Wolfgang
[Verfasser];
Kübler, Sandra
[Verfasser];
Dakota, Daniel
[Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
Show details
9
“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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10
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
Show details
11
Acoustic analysis of high vowels in the Louisiana French of Terrebonne Parish
Dakota, Daniel
[Verfasser];
Kasper-Cushmann, Kelly
[Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
Show details
12
“My Curiosity was Satisfied, but not in a Good Way”: Predicting User Ratings for Online Recipes [Online resource]
Liu, Can
;
Guo, Chun
;
Dakota, Daniel
.
IDS-Repository
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13
Parsing German: How Much Morphology Do We Need? [Online resource]
Maier, Wolfgang
;
Kübler, Sandra
;
Dakota, Daniel
.
IDS-Repository
Show details
14
From Discourse Representation Structure to Event Semantics: A Simple Conversion? [Online resource]
Dakota, Daniel
;
Kübler, Sandra
IDS-Repository
Show details
15
IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter [Online resource]
Liu, Can
;
Li, Wen
;
Demarest, Bradford
.
IDS-Repository
Show details
16
Do FreeWord Order Languages Need More Treebank Data? Investigating Dative Alternation in German, English, and Russian [Online resource]
Dakota, Daniel
;
Gilmanov, Timur
;
Li, Wen
.
IDS-Repository
Show details
17
Brown clustering for unlexicalized parsing [Online resource]
Dakota, Daniel
IDS-Repository
Show details
18
Acoustic analysis of high vowels in the Louisiana French of Terrebonne Parish [Online resource]
Kasper-Cushmann, Kelly
;
Dakota, Daniel
IDS-Repository
Show details
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