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RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation ...
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Recurrent Instance Segmentation using Sequences of Referring Expressions ...
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What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue ...
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UHD: Cross-lingual word sense disambiguation using multilingual co-occurrence graphs
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Building a Multilingual Lexical Resource for Named Entity Disambiguation, Translation and Transliteration
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Casting implicit role linking as an anaphora resolution task
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Building a multilingual lexical resource for named entity disambiguation, translation and transliteration
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UHD: cross-lingual word sense disambiguation using multilingual co-occurrence graphs
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Abstract:
Comunicació presentada a: the 5th International Workshop on Semantic Evaluation, celebrat del 15 al 16 de juliol de 2010 a Uppsala, Suècia. ; We describe the University of Heidelberg (UHD) system for the Cross-LingualWord Sense Disambiguation SemEval-2010 task (CL-WSD). The system performs CLWSD by applying graph algorithms previously developed for monolingual Word Sense Disambiguation to multilingual cooccurrence graphs. UHD has participated in the BEST and out-of-five (OOF) evaluations and ranked among the most competitive systems for this task, thus indicating that graph-based approaches represent a powerful alternative for this task.
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URL: http://hdl.handle.net/10230/41869
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Object naming in language and vision: a survey and a new dataset
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AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library
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Humans meet models on object naming: a new dataset and analysis
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What do entity-centric models learn? Insights from entity linking in multi-party dialogue
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