Can I read In Situ Answer Sentence Selection at Web-scale on EtoBox?

In Situ Answer Sentence Selection at Web-scale by Zhang, Zeyu; Vu, Thuy; Moschitti, Alessandro is a scholarly article available to read on EtoBox.

What is In Situ Answer Sentence Selection at Web-scale about?

Current answer sentence selection (AS2) applied in open-domain question answering (ODQA) selects answers by ranking a large set of possible candidates, i.e., sentences, extracted from the retrieved text. In this paper, we present Passage-based Extracting Answer Sentence In-place (PEASI), a novel design for AS2 optimized for Web-scale setting, that, instead, computes such answer without processing each candidate individually. Specifically, we design a Transformer-based framework that jointly (i) reranks passages retrieved for a question and (ii) identifies a probable answer from the top passages in place. We train PEASI in a multi-task learning framework that encourages feature sharing between the components: passage reranker and passage-based answer sentence extractor. To facilitate our development, we construct a new Web-sourced large-scale QA dataset consisting of 800,000+ labeled passages/sentences for 60,000+ questions. The experiments show that our proposed design effectively outperforms the current state-of-the-art setting for AS2, i.e., a point-wise model for ranking sentences independently, by 6.51% in accuracy, from 48.86% to 55.37%. In addition, PEASI is exceptionally eff

Author

Zhang, Zeyu; Vu, Thuy; Moschitti, Alessandro

Published

2022

Language

EN