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1
Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution ...
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2
Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution ...
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3
A closer look at scalar diversity using contextualized semantic similarity
In: Sinn und Bedeutung; Bd. 24 Nr. 2 (2020): Proceedings of Sinn und Bedeutung 24; 439-454 ; Proceedings of Sinn und Bedeutung; Vol 24 No 2 (2020): Proceedings of Sinn und Bedeutung 24; 439-454 ; 2629-6055 (2020)
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4
Implying or implicating not both in declaratives and interrogatives
In: Sinn und Bedeutung; Bd. 24 Nr. 2 (2020): Proceedings of Sinn und Bedeutung 24; 423-438 ; Proceedings of Sinn und Bedeutung; Vol 24 No 2 (2020): Proceedings of Sinn und Bedeutung 24; 423-438 ; 2629-6055 (2020)
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5
Don't Blame Distributional Semantics if it can't do Entailment ...
Westera, Matthijs; Boleda, Gemma. - : arXiv, 2019
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6
What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue ...
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7
An attention-based explanation for some exhaustivity operators
In: Sinn und Bedeutung; Bd. 21 Nr. 2 (2018): Proceedings of Sinn und Bedeutung 21; 1307-1324 ; Proceedings of Sinn und Bedeutung; Vol 21 No 2 (2018): Proceedings of Sinn und Bedeutung 21; 1307-1324 ; 2629-6055 (2019)
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8
Rising declaratives of the Quality-suspending kind
In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 121 ; 2397-1835 (2018)
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9
Ignorance in context: The interaction of modified numerals and QUDs
In: Semantics and Linguistic Theory; Proceedings of SALT 24; 414-431 ; 2163-5951 (2014)
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10
Logic, Language and Meaning : 18th Amsterdam Colloquium, Amsterdam, The Netherlands, December 19-21, 2011, Revised Selected Papers
Aloni, Maria; Kimmelman, Vadim; Roelofsen, Floris. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2012
UB Frankfurt Linguistik
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11
Replies to comments
In: Theoretical linguistics. - Berlin [u.a.] : de Gruyter 38 (2012) 3, 249-264
OLC Linguistik
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12
Event structure, conceptual spaces and the semantics of verbs
In: Theoretical linguistics. - Berlin [u.a.] : de Gruyter 38 (2012) 3, 159-193
OLC Linguistik
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13
Distributional models of category concepts based on names of category members
Abstract: Cognitive scientists have long used distributional semantic representations of categories. The predominant approach uses distributional representations of category-denoting nouns, such as “city” for the category city. We propose a novel scheme that represents categories as prototypes over representations of names of its members, such as “Barcelona,” “Mumbai,” and “Wuhan” for the category city. This name-based representation empirically outperforms the noun-based representation on two experiments (modeling human judgments of category relatedness and predicting category membership) with particular improvements for ambiguous nouns. We discuss the model complexity of both classes of models and argue that the name-based model has superior explanatory potential with regard to concept acquisition. ; Abhijeet Gupta and Sebastian Padó received funding from Deutsche Forschungsgemeinschaft (DFG) through Sonderforschungsbereich 732, project D10. Gemma Boleda and Matthijs Westera received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 715154) and the Catalan government (SGR 2017 1575). Gemma Boleda also received funding from the Ramón y Cajal program (grant RYC-2015-18907). Matthijs Westera also received funding from Leiden University (LUCL, SAILS). We gratefully acknowledge the support of NVIDIA Corporation with the donation of GPUs used for this research. This paper reflects the authors’ view only, and the EU is not responsible for any use that may be made of the information it contains.
Keyword: Ambiguity; Concepts; Distributional semantics; Prototype theory; Relatedness
URL: https://doi.org/10.1111/cogs.13029
http://hdl.handle.net/10230/48504
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14
AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library
Westera, Matthijs; Silberer, Carina; Aina, Laura. - : ACL (Association for Computational Linguistics)
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15
TED-Q: TED talks and the questions they evoke
Rohde, Hannah; Westera, Matthijs; Mayol, Laia. - : ACL (Association for Computational Linguistics)
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16
Don’t blame distributional semantics if it can’t do entailment
Westera, Matthijs. - : ACL (Association for Computational Linguistics)
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17
Similarity or deeper understanding?: analyzing the TED-Q dataset of evoked questions
Amidei, Jacopo; Mayol, Laia; Westera, Matthijs. - : ACL (Association for Computational Linguistics)
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18
Humans meet models on object naming: a new dataset and analysis
Silberer, Carina; Westera, Matthijs; Boleda, Gemma. - : ACL (Association for Computational Linguistics)
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19
What do entity-centric models learn? Insights from entity linking in multi-party dialogue
Westera, Matthijs; Silberer, Carina; Aina, Laura. - : ACL (Association for Computational Linguistics)
BASE
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