16 citations · 48 across the 36 of their papers we have counts for
10 papers · 1 filter
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…
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
Siddhant Garg, Alessandro Moschitti
In this paper we propose a novel approach towards improving the efficiency of Question Answering (QA) systems by filtering out questions that will not be answered by them. This is…
Joint Models for Answer Verification in Question Answering Systems
Zeyu Zhang, Thuy Vu, Alessandro Moschitti
This paper studies joint models for selecting correct answer sentences among the top provided by answer sentence selection (AS2) modules, which are core components of retrieval…
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…
Efficient pre-training objectives for Transformers
Luca Di Liello, Matteo Gabburo, Alessandro Moschitti
The Transformer architecture deeply changed the natural language processing, outperforming all previous state-of-the-art models. However, well-known Transformer models like BERT, R…
Reference-based Weak Supervision for Answer Sentence Selection using Web Data
Vivek Krishnamurthy, Thuy Vu, Alessandro Moschitti
Answer sentence selection (AS2) modeling requires annotated data, i.e., hand-labeled question-answer pairs. We present a strategy to collect weakly supervised answers for a questio…