profile picture

Nicola De Cao

language models

entity linking

named entity

attribution

planning

entity disambiguation

autoregressive generation

autoregressive entity linking

sparse interventions

differentiable masking

long-form question answering

8

presentations

10

number of views

SHORT BIO

I am an incoming Research Scientist at Google AI in London, UK. Previously, I did my Ph.D. at the Institute for Logic, Language and Computation (ILLC) of the University of Amsterdam and at the School of Informatics of the University of Edinburgh. I was a part of the EdinburghNLP and AmsterdamNLP groups.

I also interned at Huggingface and Facebook AI Research (FAIR) in London, UK and at Amazon Research in Berlin, Germany.

My work focuses on Machine Reading Comprehension, also known as Question Answering. In particular, I am working on neural models that retrieve information from a collection of documents and then answer complex questions. I also work on Entity Linking and Entity Disambiguation. More generally, I am interested in (semi-)supervised and unsupervised deep neural network applications in combination with reasoning and reinforcement methods to approach Natural Language Understanding.

Presentations

Learning to Plan and Generate Text with Citations

Constanza Fierro and 6 other authors

Sparse Interventions in Language Models with Differentiable Masking

Nicola De Cao

GenIE: Generative Information Extraction

Martin Josifoski and 4 other authors

Multilingual Autoregressive Entity Linking

Nicola De Cao and 9 other authors

Editing Factual Knowledge in Language Models

Nicola De Cao

Editing Factual Knowledge in Language Models

Nicola De Cao

Highly Parallel Autoregressive Entity Linking with Discriminative Correction

Nicola De Cao

Highly Parallel Autoregressive Entity Linking with Discriminative Correction

Nicola De Cao

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