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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 – 8 of 8 1 Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis ... 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; Berwick, Robert; Indurkhya, Sagar; Yankama, Beracah. - : Underline Science Inc., 2021 Abstract: Accurate recovery of predicate-argument structure from a Universal Dependency (UD) parse is central to downstream tasks such as extraction of semantic roles or event representations. This study introduces compchains, a categorization of the hierarchy of predicate dependency relations present within a UD parse. Accuracy of compchain classification serves as a proxy for measuring accurate recovery of predicate-argument structure from sentences with embedding. We analyzed the distribution of compchains in three UD English treebanks, EWT, GUM and LinES, revealing that these treebanks are sparse with respect to sentences with predicate-argument structure that includes predicate-argument embedding. We evaluated the CoNLL 2018 Shared Task UDPipe (v1.2) baseline (dependency parsing) models as compchain classifiers for the EWT, GUMS and LinES UD treebanks. Our results indicate that these three baseline models exhibit poorer performance on sentences with predicate-argument structure with more than one level of ... Keyword: Computational Linguistics; Data Management System; FOS Languages and literature; Linguistics; Natural Language Processing; Semantics URL: https://underline.io/lecture/29792-evaluating-universal-dependency-parser-recovery-of-predicate-argument-structure-via-compchain-analysis https://dx.doi.org/10.48448/cy78-5j21 BASE Hide details 2 Evaluating the Ability of LSTMs to Learn Context-Free Grammars Sennhauser, Luzi; Berwick, Robert In: Association for Computational Linguistics (2020) BASE Show details 3 Computational Analogues of Constraints on Grammars: A Model for the Acquisition of Syntactic Knowledge Berwick, Robert In: University of Massachusetts Occasional Papers in Linguistics (2020) BASE Show details 4 Phylogenetics of Indo-European Language families via an Algebro-Geometric Analysis of their Syntactic Structures ... Shu, Kevin; Ortegaray, Andrew; Berwick, Robert. - : arXiv, 2017 BASE Show details 5 Proceedings of the EACL Workshop on Computational Models of Language Acquisition and Loss Berwick, Robert; Korhonen, Anna; Poibeau, Thierry. - : HAL CCSD, 2012. : Association for Computational Linguistics, 2012 In: https://hal.archives-ouvertes.fr/hal-00783291 ; A. Villavicencio, T. Poibeau, A. Korhonen & B. Berwick. France. Association for Computational Linguistics, pp.70, 2012, 978-1-937284-19-0 (2012) BASE Show details 6 The Logical Problem of Language Change Niyogi, Partha; Berwick, Robert. - 1995 BASE Show details 7 A Dynamical Systems Model for Language Change Niyogi, Partha; Berwick, Robert. - 1995 BASE Show details 8 The Logical Problem of Language Change. Niyogi, Partha; Berwick, Robert In: DTIC AND NTIS (1995) BASE Show details

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