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Hits 1 – 13 of 13

1
Joint learning of morphology and syntax with cross-level contextual information flow
In: 2022 ; 1 ; 33 (2022)
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2
Tree Structured Dirichlet Processes for Hierarchical Morphological Segmentation
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3
Tree structured Dirichlet processes for hierarchical morphological segmentation
In: 44 ; 2 ; 349 ; 374 (2018)
Abstract: © 2018 The Authors. Published by MIT Press/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://doi.org/10.1162/coli_a_00318 ; This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word morphology as a collection of tree structured paradigms. The model is fully unsupervised and based on the hierarchical Dirichlet process. Tree hierarchies are learned along with the corresponding morphological paradigms simultaneously. Our model is evaluated on Morpho Challenge and shows competitive performance when compared to state-of-the-art unsupervised morphological segmentation systems. Although we apply this model for morphological segmentation, the model itself can also be used for hierarchical clustering of other types of data. ; Published version
URL: http://hdl.handle.net/2436/623532
https://doi.org/10.1162/COLI_a_00318
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4
Grounding proposition stores for question answering over linked data
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5
Methods and algorithms for unsupervised learning of morphology
In: 8403 ; 177 ; 205 (2014)
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6
TakeLab: Systems for measuring semantic text similarity
Dalbelo Bašić, Bojana; Šarić, Frane; Glavaš, Goran. - : Association for Computational Linguistics, 2012
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7
Designing an interactive open-domain question answering system
In: Natural language engineering. - Cambridge : Cambridge University Press 15 (2009) 1, 73-95
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OLC Linguistik
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8
Implementing clarification dialogues in open domain question answering
In: Natural language engineering. - Cambridge : Cambridge University Press 11 (2005) 4, 343-361
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9
An introduction to inductive logic programming and learning language in logic
In: Learning language in logic. - Berlin [u.a.] : Springer (2000), 3-37
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10
The availability of partial scopings in an underspecified semantic representation
In: IWCS <3, 1999, Tilburg>. Proceedings of the third International Workshop on Computational Semantics. - Tilburg : Computational Linguistics, Tilburg Univ. (1999), 327-340
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11
On constraint-based Lambek Calculi
In: Specifying syntactic structures (Stanford, Cal., 1997), p. 25-44
MPI für Psycholinguistik
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12
On constraint-based Lambek calculi
In: Specifying syntactic structures. - Stanford, Calif. : CSLI Pubns [u.a.] (1997), 25-44
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13
Syntax
Adriaans, Pieter (Mitarb.); Haas, Erik de (Mitarb.); Cussens, James (Mitarb.)...
In: Computational natural language learning. - Somerset, NJ : Association for Computational Linguistics (1997), 125-233
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