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Diagnostic captioning: a survey
Diagnostic captioning (DC) concerns the automatic generation of a diagnostic text from a set of medical images of a patient collected during an...
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Restoring and attributing ancient texts using deep neural networks
Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known as inscriptions—for evidence of the thought, language,...
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AUEB at BioASQ 7: Document and Snippet Retrieval
We present the submissions of aueb to the bioasq 7 document and snippet retrieval tasks (parts of Task 7b, Phase A). Our systems build upon the...
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Medical Image Tagging by Deep Learning and Retrieval
Radiologists and other qualified physicians need to examine and interpret large numbers of medical images daily. Systems that would help them spot...
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Ontology Driven Extraction of Research Processes
We address the automatic extraction from publications of two key concepts for representing research processes: the concept of research activity and...
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An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
BackgroundThis article provides an overview of the first BioASQchallenge, a competition on large-scale biomedical semantic indexing and question...
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Evaluation measures for hierarchical classification: a unified view and novel approaches
Hierarchical classification addresses the problem of classifying items into a hierarchy of classes. An important issue in hierarchical classification...
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The Effect of Dimensionality Reduction on Large Scale Hierarchical Classification
Many classification problems are related to a hierarchy of classes, that can be exploited in order to perform hierarchical classification of test...
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Word Sense Disambiguation as an Integer Linear Programming Problem
We present an integer linear programming model of word sense disambiguation. Given a sentence, an inventory of possible senses per word, and a sense...
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A Greek Named-Entity Recognizer That Uses Support Vector Machines and Active Learning
We present a named-entity recognizer for Greek person names and temporal expressions. For temporal expressions, it relies on semi- automatically...
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A Greek Morphological Lexicon and Its Exploitation by Natural Language Processing Applications
This paper presents a large-scale Greek morphological lexicon, developed at the Software & Knowledge Engineering Laboratory (SKEL) of NCSR...
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A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists
This paper presents an extensive empirical evaluation of memory-based learning in the context of anti-spam filtering, a novel cost-sensitive...
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Symbolic Authoring for Multilingual Natural Language Generation
We describe the symbolic authoring facilities of the M-PIRO project. M-PIRO is developing technology that allows personalized multilingual object...
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Automatic Web Rating: Filtering Obscene Content on the Web
We present a method to detect automatically pornographic content on the Web. Our method combines techniques from language engineering and image...
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Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from...
