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Hits 1 – 8 of 8

1
Recurrent Instance Segmentation using Sequences of Referring Expressions ...
BASE
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2
What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue ...
BASE
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3
Probing for referential information in language models
Sorodoc, Ionut-Teodor; Gulordava, Kristina; Boleda, Gemma. - : ACL (Association for Computational Linguistics)
BASE
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4
“Look, some green circles!”: learning to quantify from images
Boleda, Gemma; Sorodoc, Ionut-Teodor; Lazaridou, Angeliki. - : ACL (Association for Computational Linguistics)
BASE
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5
AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library
Westera, Matthijs; Silberer, Carina; Aina, Laura. - : ACL (Association for Computational Linguistics)
BASE
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6
Controlled tasks for model analysis: retrieving discrete information from sequences
Boleda, Gemma; Baroni, Marco; Sorodoc, Ionut-Teodor. - : ACL (Association for Computational Linguistics)
BASE
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7
Comparatives, quantifiers, proportions: a multi-task model for the learning of quantities from vision
Sorodoc, Ionut-Teodor; Bernardi, Raffaella; Pezzelle, Sandro. - : ACL (Association for Computational Linguistics)
BASE
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8
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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