2 citations · 3 across the 5 of their papers we have counts for
8 papers
Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection
Minh Van Nguyen, Kishan KC, Toan Nguyen +3
Answer sentence selection (AS2) in open-domain question answering finds answer for a question by ranking candidate sentences extracted from web documents. Recent work exploits answ…
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…
Multilingual Answer Sentence Reranking via Automatically Translated Data
Thuy Vu, Alessandro Moschitti
We present a study on the design of multilingual Answer Sentence Selection (AS2) models, which are a core component of modern Question Answering (QA) systems. The main idea is to t…
CDA: a Cost Efficient Content-based Multilingual Web Document Aligner
Thuy Vu, Alessandro Moschitti
We introduce a Content-based Document Alignment approach (CDA), an efficient method to align multilingual web documents based on content in creating parallel training data for mach…
Machine Translation Customization via Automatic Training Data Selection from the Web
Thuy Vu, Alessandro Moschitti
Machine translation (MT) systems, especially when designed for an industrial setting, are trained with general parallel data derived from the Web. Thus, their style is typically dr…
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…