Search Results for author: Andre Freitas

Found 20 papers, 5 papers with code

A Survey of Text Games for Reinforcement Learning informed by Natural Language

no code implementations20 Sep 2021 Philip Osborne, Heido Nõmm, Andre Freitas

Reinforcement Learning has shown success in a number of complex virtual environments.

Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?

1 code implementation17 Sep 2021 Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, Andre Freitas

Even though BERT and similar pre-trained language models have excelled in several NLP tasks, their use has not been widely explored for the UI grounding domain.

Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems

no code implementations16 Jul 2021 Oskar Wysocki, Malina Florea, Donal Landers, Andre Freitas

This paper proposes a novel statistical corpus analysis framework targeted towards the interpretation of Natural Language Processing (NLP) architectural patterns at scale.

Encoding Explanatory Knowledge for Zero-shot Science Question Answering

no code implementations12 May 2021 Zili Zhou, Marco Valentino, Donal Landers, Andre Freitas

This paper describes N-XKT (Neural encoding based on eXplanatory Knowledge Transfer), a novel method for the automatic transfer of explanatory knowledge through neural encoding mechanisms.

Question Answering Transfer Learning

Structuralist analysis for neural network system diagrams

no code implementations30 Apr 2021 Guy Clarke Marshall, Caroline Jay, Andre Freitas

Using a corpus-based approach, we argue that the heterogeneous diagrammatic notations used for neural network systems has implications for signification in this domain.

Scholarly AI system diagrams as an access point to mental models

no code implementations30 Apr 2021 Guy Clarke Marshall, Caroline Jay, Andre Freitas

Complex systems, such as Artificial Intelligence (AI) systems, are comprised of many interrelated components.

Number and quality of diagrams in scholarly publications is associated with number of citations

no code implementations30 Apr 2021 Guy Clarke Marshall, Caroline Jay, Andre Freitas

We analyse a corpus of diagrams found in scholarly computational linguistics conference proceedings (ACL 2017), and find inclusion of a system diagram to be correlated with higher numbers of citations after 3 years.

Cost-effective Variational Active Entity Resolution

no code implementations20 Nov 2020 Alex Bogatu, Norman W. Paton, Mark Douthwaite, Stuart Davie, Andre Freitas

In this paper, we set out to devise an entity resolution method that builds on the robustness conferred by deep autoencoders to reduce human-involvement costs.

Active Learning Entity Resolution +2

What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP

no code implementations28 May 2020 Oskar Wysocki, Malina Florea, Andre Freitas

SemEval is the primary venue in the NLP community for the proposal of new challenges and for the systematic empirical evaluation of NLP systems.

Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20)

no code implementations15 Jan 2020 Dell Zhang, Andre Freitas, DaCheng Tao, Dawn Song

This is the Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20) which took place in New York, NY, USA on February 7th 2020.

Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks

no code implementations WS 2019 Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, Andre Freitas

Recent advances in reading comprehension have resulted in models that surpass human performance when the answer is contained in a single, continuous passage of text.

Multi-hop Question Answering Question Answering +1

MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions

no code implementations WS 2019 Christina Niklaus, Andre Freitas, Siegfried Handschuh

We compiled a new sentence splitting corpus that is composed of 203K pairs of aligned complex source and simplified target sentences.

Text Simplification

DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German

1 code implementation26 Sep 2019 Christina Niklaus, Matthias Cetto, Andre Freitas, Siegfried Handschuh

We introduce DisSim, a discourse-aware sentence splitting framework for English and German whose goal is to transform syntactically complex sentences into an intermediate representation that presents a simple and more regular structure which is easier to process for downstream semantic applications.

Text Simplification

Transforming Complex Sentences into a Semantic Hierarchy

1 code implementation ACL 2019 Christina Niklaus, Matthias Cetto, Andre Freitas, Siegfried Handschuh

We present an approach for recursively splitting and rephrasing complex English sentences into a novel semantic hierarchy of simplified sentences, with each of them presenting a more regular structure that may facilitate a wide variety of artificial intelligence tasks, such as machine translation (MT) or information extraction (IE).

Machine Translation Text Simplification +1

DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness

no code implementations16 May 2018 Siamak Barzegar, Juliano Efson Sales, Andre Freitas, Siegfried Handschuh, Brian Davis

This demonstration presents an infrastructure for computing multilingual semantic relatedness and correlation for twelve natural languages by using three distributional semantic models (DSMs).

Composite Semantic Relation Classification

no code implementations16 May 2018 Siamak Barzegar, Andre Freitas, Siegfried Handschuh, Brian Davis

Different semantic interpretation tasks such as text entailment and question answering require the classification of semantic relations between terms or entities within text.

Classification General Classification +2

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