Browsing by Author "Silberer, Carina"

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  • AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library
    Boleda, Gemma; Aina, Laura; Silberer, Carina; Sorodoc, Ionut-Teodor; Westera, Matthijs (ACL (Association for Computational Linguistics), 2018)
    This paper describes our winning contribution to SemEval 2018 Task 4: Character Identification on Multiparty Dialogues. It is a simple, standard model with one key innovation, an entity library. Our results show that this ...
  • Building a multilingual lexical resource for named entity disambiguation, translation and transliteration
    Wentland, Wolodja; Silberer, Carina; Hartung, Matthias (ELRA (European Language Resources Association), 2008)
    In this paper, we present HeiNER, the multilingual Heidelberg Named Entity Resource. HeiNER contains 1,547,586 disambiguated English Named Entities together with translations and transliterations to 15 languages. Our work ...
  • Casting implicit role linking as an anaphora resolution task
    Silberer, Carina; Frank, Anette (ACL (Association for Computational Linguistics), 2012)
    Linking implicit semantic roles is a challenging problem in discourse processing. Unlike prior work inspired by SRL, we cast this problem as an anaphora resolution task and embed it in an entity-based coreference ...
  • Grounded models of semantic representation
    Silberer, Carina; Lapata, Mirella (ACL (Association for Computational Linguistics), 2012)
    A popular tradition of studying semantic representation has been driven by the assumption that word meaning can be learned from the linguistic environment, despite ample evidence suggesting that language is grounded in ...
  • Grounding semantic roles in images
    Silberer, Carina; Pinkal, Manfred (ACL (Association for Computational Linguistics), 2018)
    We address the task of visual semantic role labeling (vSRL), the identification of the participants of a situation or event in a visual scene, and their labeling with their semantic relations to the event or situation. We ...
  • Humans meet models on object naming: a new dataset and analysis
    Silberer, Carina; Zarrieß, Sina; Westera, Matthijs; Boleda, Gemma (ACL (Association for Computational Linguistics), 2020)
    We release ManyNames v2 (MN v2), a verified version of an object naming dataset that contains dozens of valid names per object for 25K images. We analyze issues in the data collection method originally employed, standard ...
  • Models of semantic representation with visual attribute
    Silberer, Carina; Ferrari, Vittorio; Lapata, Mirella (ACL (Association for Computational Linguistics), 2013)
    We consider the problem of grounding the meaning of words in the physical world and focus on the visual modality which we represent by visual attributes. We create a new large-scale taxonomy of visual attributes covering ...
  • Object naming in language and vision: a survey and a new dataset
    Silberer, Carina; Zarrieß, Sina; Boleda, Gemma (ACL (Association for Computational Linguistics), 2020)
    People choose particular names for objects, such as dog or puppy for a given dog. Object naming has been studied in Psycholinguistics, but has received relatively little attention in Computational Linguistics. We review ...
  • UHD: cross-lingual word sense disambiguation using multilingual co-occurrence graphs
    Silberer, Carina; Ponzetto, Simone Paolo (ACL (Association for Computational Linguistics), 2010)
    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 ...
  • Visually grounded meaning representations
    Silberer, Carina; Ferrari, Vittorio; Lapata, Mirella (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    In this paper we address the problem of grounding distributional representations of lexical meaning. We introduce a new model which uses stacked autoencoders to learn higher-level representations from textual and visual ...
  • ​What do entity-centric models learn? Insights from entity linking in multi-party dialogue
    Boleda, Gemma; Aina, Laura; Silberer, Carina; Sorodoc, Ionut-Teodor; Westera, Matthijs (ACL (Association for Computational Linguistics), 2019)
    Humans use language to refer to entities in the external world. Motivated by this, in recent years several models that incorporate a bias towards learning entity representations have been proposed. Such entity-centric ...

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