Valeria de Paiva

Valeria de Paiva
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Main area of research
Natural language & AI

Valeria de Paiva is a Senior Research Scientist in the Artificial Intelligence and Reasoning group. Her research interest is in the area of Natural Language & AI. As a mathematician, logician and computer scientist, she uses logic to improve communication with computer systems. Before Nuance, she was a research scientist at the Intelligent Systems Laboratory of PARC (Palo Alto Research Center), CA for many years (2000-2008) and a search analyst at Cuil, Inc. and at Rearden Commerce, now Deem. She received her PhD in Mathematics from Cambridge University for work on “Dialectica Categories”, and has ever since worked on logical approaches to computation. She is on the editorial boards of “Theoria and Application of Categories”, “Logical Methods in Computer Science” and of “Logica Universalis”. She's an Honorary Research Fellow at the School of Computer Science, University of Birmingham, UK, where she was an Assistant Professor, and she taught recently at Stanford University and Santa Clara University in California.

Selected articles

Textual Inference: getting logic from humans

This paper describes a manual investigation of the SICK corpus, which is the proposed testing set for a new system for natural language inference. The

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CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data

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Universal Dependencies for Portuguese

This paper describes the process of converting the Portuguese Bosque corpus to the Universal Dependencies scheme version 2. The conversion was done by applying to

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Semantic Links for Portuguese

Abstract: This paper describes work on incorporating Princenton’s WordNet morphosemantic links to the fabric of the Portuguese OpenWordNet- PT. Morphosemantic links are relations between verbs

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Making Virtue of Necessity: a Verb Lexicon

Abstract. We describe the verb lexicon of OpenWordNet-PT, a wordnet- like resource for (mostly Brazilian) Portuguese and a series of experiments that we designed to

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