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1
Challenges and Strategies in Cross-Cultural NLP ...
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Finding Structural Knowledge in Multimodal-BERT ...
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Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning ...
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4
Multiethnolekte im Deutschen und Schwedischen : Strukturen und Gebrauchsmuster. Eine Untersuchung über die Konstruktion vom Ghetto-Slang bei Jugendlichen mit oder ohne Migrationshintergrund
Diko, Miryam [Verfasser]. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2021
DNB Subject Category Language
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5
Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings ...
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A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs ...
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7
On Language Models for Creoles ...
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On Language Models for Creoles ...
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9
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? ...
NAACL 2021 2021; de Lhoneux, Miryam; Nivre, Joakim. - : Underline Science Inc., 2021
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What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
In: Computational Linguistics, Vol 46, Iss 4, Pp 763-784 (2021) (2021)
Abstract: AbstractThere is a growing interest in investigating what neural NLP models learn about language. A prominent open question is the question of whether or not it is necessary to model hierarchical structure. We present a linguistic investigation of a neural parser adding insights to this question. We look at transitivity and agreement information of auxiliary verb constructions (AVCs) in comparison to finite main verbs (FMVs). This comparison is motivated by theoretical work in dependency grammar and in particular the work of Tesnière (1959), where AVCs and FMVs are both instances of a nucleus, the basic unit of syntax. An AVC is a dissociated nucleus; it consists of at least two words, and an FMV is its non-dissociated counterpart, consisting of exactly one word. We suggest that the representation of AVCs and FMVs should capture similar information. We use diagnostic classifiers to probe agreement and transitivity information in vectors learned by a transition-based neural parser in four typologically different languages. We find that the parser learns different information about AVCs and FMVs if only sequential models (BiLSTMs) are used in the architecture but similar information when a recursive layer is used. We find explanations for why this is the case by looking closely at how information is learned in the network and looking at what happens with different dependency representations of AVCs. We conclude that there may be benefits to using a recursive layer in dependency parsing and that we have not yet found the best way to integrate it in our parsers.
Keyword: Computational linguistics. Natural language processing; P98-98.5
URL: https://doi.org/10.1162/coli_a_00392
https://doaj.org/article/7b4d6e78cc6e49f294e0664fb59690c8
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11
I’ve got a construction looks funny – representing and recovering non-standard constructions in UD
Ruppenhofer, Josef [Verfasser]; Rehbein, Ines [Verfasser]; de Marneffe, Marie-Catherine [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020
DNB Subject Category Language
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12
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding ...
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13
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics ...
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14
Does bimodal hearing increase self-assessed abilities and hearing outcomes when compared to unilateral cochlear implantation? ...
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15
Does bimodal hearing increase self-assessed abilities and hearing outcomes when compared to unilateral cochlear implantation? ...
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16
Multiethnolekte im Deutschen und Schwedischen : Strukturen und Gebrauchsmuster. Eine Untersuchung über die Konstruktion vom Ghetto-Slang bei Jugendlichen mit oder ohne Migrationshintergrund
In: Experimentierräume in der deutschen Sprachwissenschaft. - Pilsen : Westböhmische Universität Pilsen (2019), 201-224
UB Frankfurt Linguistik
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17
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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18
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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19
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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