46 citations · 111 across the 40 of their papers we have counts for
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Context-based Transformer Models for Answer Sentence Selection
Ivano Lauriola, Alessandro Moschitti
An important task for the design of Question Answering systems is the selection of the sentence containing (or constituting) the answer from documents relevant to the asked questio…
The Cascade Transformer: an Application for Efficient Answer Sentence Selection
Luca Soldaini, Alessandro Moschitti
Large transformer-based language models have been shown to be very effective in many classification tasks. However, their computational complexity prevents their use in application…
AVA: an Automatic eValuation Approach to Question Answering Systems
Thuy Vu, Alessandro Moschitti
We introduce AVA, an automatic evaluation approach for Question Answering, which given a set of questions associated with Gold Standard answers, can estimate system Accuracy. AVA u…
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection
Daniele Bonadiman, Alessandro Moschitti
An essential task of most Question Answering (QA) systems is to re-rank the set of answer candidates, i.e., Answer Sentence Selection (A2S). These candidates are typically sentence…