Andrea Bruera

Andrea Bruera
Max Planck Institute for Human Cognitive and Brain Sciences | CBS

Doctor of Philosophy

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8
Publications
525
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19
Citations

Publications

Publications (8)
Article
Full-text available
Knowledge about personally familiar people and places is extremely rich and varied, involving pieces of semantic information connected in unpredictable ways through past autobiographical memories. In this work, we investigate whether we can capture brain processing of personally familiar people and places using subject-specific memories, after tran...
Article
Full-text available
Proper names are linguistic expressions referring to unique entities, such as individual people or places. This sets them apart from other words like common nouns, which refer to generic concepts. And yet, despite both being individual entities, one's closest friend and one's favorite city are intuitively associated with very different pieces of kn...
Article
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The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented opportuniti...
Conference Paper
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Polysemes are words that can have different senses depending on the context of utterance: for instance, 'newspaper' can refer to an organization (as in 'manage the newspaper') or to an object (as in 'open the newspaper'). Contrary to a large body of evidence coming from psy-cholinguistics, polysemy has been traditionally modelled in NLP by assuming...
Preprint
Full-text available
Knowledge about personally familiar people and places is extremely rich and varied, involving pieces of semantic information connected in unpredictable ways through past autobiographical memories. In this work we investigate whether we can capture brain processing of personally familiar people and places using subject-specific memories, after trans...
Conference Paper
Full-text available
Applications involving machine learning in Human Resources (HR, the management of human talent in order to accomplish organizational goals) must respect the privacy of the individuals whose data is being used. This is a difficult aim, given the extremely personal nature of text data handled by HR departments, such as Curricula Vitae (CVs). We prese...
Article
Full-text available
Semantic knowledge about individual entities (i.e., the referents of proper names such as Jacinta Ardern) is fine-grained, episodic, and strongly social in nature, when compared with knowledge about generic entities (the referents of common nouns such as politician). We investigate the semantic representations of individual entities in the brain; a...
Preprint
Full-text available
In human semantic cognition, proper names (names which refer to individual entities) are harder to learn and retrieve than common nouns. This seems to be the case for machine learning algorithms too, but the linguistic and distributional reasons for this behaviour have not been investigated in depth so far. To tackle this issue, we show that the se...

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