7 citations · 12 across the 2 of their papers we have counts for
3 papers
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
Yoshitomo Matsubara, Luca Soldaini, Eric Lind +1
Large transformer models can highly improve Answer Sentence Selection (AS2) tasks, but their high computational costs prevent their use in many real-world applications. In this pap…
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation
Benjamin Muller, Luca Soldaini, Rik Koncel-Kedziorski +2
Open-Domain Generative Question Answering has achieved impressive performance in English by combining document-level retrieval with answer generation. These approaches, which we re…
Answer Generation for Retrieval-based Question Answering Systems
Chao-Chun Hsu, Eric Lind, Luca Soldaini +1
Recent advancements in transformer-based models have greatly improved the ability of Question Answering (QA) systems to provide correct answers; in particular, answer sentence sele…