Raquel Fernández

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University of Amsterdam

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Words are the Window to the Soul: Language-based User Representations for Fake News Detection

Cognitive and social traits of individuals are reflected in language use...
11/14/2020 ∙ by Marco Del Tredici, et al. ∙ 0 ∙ share

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Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze

When speakers describe an image, they tend to look at objects before men...
11/09/2020 ∙ by Ece Takmaz, et al. ∙ 0 ∙ share

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Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts

Dialogue participants often refer to entities or situations repeatedly w...
11/09/2020 ∙ by Ece Takmaz, et al. ∙ 0 ∙ share

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Analysing Lexical Semantic Change with Contextualised Word Representations

This paper presents the first unsupervised approach to lexical semantic ...
04/29/2020 ∙ by Mario Giulianelli, et al. ∙ 0 ∙ share

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You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP

Information about individuals can help to better understand what they sa...
09/01/2019 ∙ by Marco Del Tredici, et al. ∙ 0 ∙ share

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Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts

This work aims at modeling how the meaning of gradable adjectives of siz...
08/27/2019 ∙ by Sandro Pezzelle, et al. ∙ 2 ∙ share

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Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering

We study the issue of catastrophic forgetting in the context of neural m...
06/10/2019 ∙ by Claudio Greco, et al. ∙ 0 ∙ share

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The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue

This paper introduces the PhotoBook dataset, a large-scale collection of...
06/04/2019 ∙ by Janosch Haber, et al. ∙ 0 ∙ share

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Evaluating the Representational Hub of Language and Vision Models

The multimodal models used in the emerging field at the intersection of ...
04/12/2019 ∙ by Ravi Shekhar, et al. ∙ 0 ∙ share

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Automatic Evaluation of Neural Personality-based Chatbots

Stylistic variation is critical to render the utterances generated by co...
09/30/2018 ∙ by Yujie Xing, et al. ∙ 0 ∙ share

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Jointly Learning to See, Ask, and GuessWhat

We are interested in understanding how the ability to ground language in...
09/10/2018 ∙ by Aashish Venkatesh, et al. ∙ 2 ∙ share

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Short-term meaning shift: an exploratory distributional analysis

We investigate diachronic meaning shift that takes place in short period...
09/10/2018 ∙ by Marco Del Tredici, et al. ∙ 0 ∙ share

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Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue

We investigate how encoder-decoder models trained on a synthetic dataset...
08/28/2018 ∙ by Dieuwke Hupkes, et al. ∙ 0 ∙ share

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Semantic Variation in Online Communities of Practice

We introduce a framework for quantifying semantic variation of common wo...
06/15/2018 ∙ by Marco Del Tredici, et al. ∙ 0 ∙ share

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The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities

We investigate the birth and diffusion of lexical innovations in a large...
06/15/2018 ∙ by Marco Del Tredici, et al. ∙ 0 ∙ share

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Ask No More:Deciding when to guess in referential visual dialogue

Our goal is to explore how the abilities brought in by a dialogue manage...
05/17/2018 ∙ by Ravi Shekhar, et al. ∙ 0 ∙ share

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Examining a hate speech corpus for hate speech detection and popularity prediction

As research on hate speech becomes more and more relevant every day, mos...
05/12/2018 ∙ by Filip Klubička, et al. ∙ 0 ∙ share

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The LAMBADA dataset: Word prediction requiring a broad discourse context

We introduce LAMBADA, a dataset to evaluate the capabilities of computat...
06/20/2016 ∙ by Denis Paperno, et al. ∙ 0 ∙ share

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