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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 Page: 1 2 3 4 5 6...12 Hits 21 – 40 of 231 21 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 22 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 23 IWPT 2020 Shared Task Data and System Outputs Zeman, Daniel; Bouma, Gosse; Seddah, Djamé. - : Universal Dependencies Consortium, 2020 BASE Show details 24 Dependency Treebanks of Ancient Greek Prose Gorman, Vanessa B. In: Journal of Open Humanities Data; Vol 6 (2020); 1 ; 2059-481X (2020) BASE Show details 25 LanguageStructure/TuDeT v0.1 ... Ferraz Gerardi, Fabrício; Reichert, Stanislav; Aragon, Carolina. - : Zenodo, 2020 BASE Show details 26 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 27 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 28 LanguageStructure/TuDeT v0.1 ... Ferraz Gerardi, Fabrício; Reichert, Stanislav; Aragon, Carolina. - : Zenodo, 2020 BASE Show details 29 Cognitive Constraints Built into Formal Grammars: Implications for Language Evolution Gómez-Rodríguez, Carlos; Christiansen, Morten H.; Ferrer-i-Cancho, Ramon. - : Ravignani, A., Barbieri, C., Martins, M., Flaherty, M., Jadoul, Y., Lattenkamp, E., Little, H., Mudd, K., Verhoef, T., 2020 BASE Show details 30 Self attended stack pointer networks for learning long term dependencies Can, Burcu; Tuç, Salih. - : Association for Computational Linguistics, 2020 Abstract: © 2020 The Authors. Published by ACL. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://aclanthology.org/2020.icon-main.12 ; We propose a novel deep neural architecture for dependency parsing, which is built upon a Transformer Encoder (Vaswani et al., 2017) and a Stack Pointer Network (Ma et al., 2018). We first encode each sentence using a Transformer Network and then the dependency graph is generated by a Stack Pointer Network by selecting the head of each word in the sentence through a head selection process. We evaluate our model on Turkish and English treebanks. The results show that our transformer-based model learns long term dependencies efficiently compared to sequential models such as recurrent neural networks. Our self attended stack pointer network improves UAS score around 6% upon the LSTM based stack pointer (Ma et al., 2018) for Turkish sentences with a length of more than 20 words. Keyword: deep learning; dependency parsing; syntax URL: http://hdl.handle.net/2436/623834 BASE Hide details 31 Current approaches to syntax : a comparative handbook Kertész, András (Herausgeber); Moravcsik, Edith A. (Herausgeber); Rákosi, Csilla (Herausgeber). - Berlin : De Gruyter Mouton, 2019 UB Frankfurt Linguistik Show details 32 Lexical ontological semantics Yuan, Yulin; Wu, Guoxiang. - New York : Routledge, 2019 BLLDB UB Frankfurt Linguistik Show details 33 Current approaches to syntax : a comparative handbook Kertész, András (Herausgeber); Moravcsik, Edith A. (Herausgeber); Rákosi, Csilla (Herausgeber). - Boston : De Gruyter Mouton, 2019 BLLDB UB Frankfurt Linguistik Show details 34 CCG Supertagging Using Morphological and Dependency Syntax Information Le Ngoc, Luyen; Haralambous, Yannis In: Proceedings International Conference on Computational Linguistics and Intelligent Text Processing ; International Conference on Computational Linguistics and Intelligent Text Processing ; https://hal.archives-ouvertes.fr/hal-02110790 ; International Conference on Computational Linguistics and Intelligent Text Processing, Apr 2019, La Rochelle, France (2019) BASE Show details 35 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 36 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 37 UDify Pretrained Model Kondratyuk, Dan; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2019 BASE Show details 38 Dependency tree extraction tool STARK 1.0 Krsnik, Luka; Dobrovoljc, Kaja; Robnik-Šikonja, Marko. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019. : Faculty of Arts, University of Ljubljana, 2019. : Faculty of Computer and Information Science, University of Ljubljana, 2019 BASE Show details 39 The Agreement Theta Generalization Polinsky, Maria; Preminger, Omer In: Glossa: a journal of general linguistics; Vol 4, No 1 (2019); 102 ; 2397-1835 (2019) BASE Show details 40 The status of function words in dependency grammar: A critique of Universal Dependencies (UD) Osborne, Timothy; Gerdes, Kim In: Glossa: a journal of general linguistics; Vol 4, No 1 (2019); 17 ; 2397-1835 (2019) BASE Show details Page: 1 2 3 4 5 6...12

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