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20152026
most citedModeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks

46 citations · 111 across the 40 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023

SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References

Matteo Gabburo, Siddhant Garg, Rik Koncel Kedziorski +1

Evaluation of QA systems is very challenging and expensive, with the most reliable approach being human annotations of correctness of answers for questions. Recent works (AVA, BEM)…

cs.CL2023★ 7 cited

Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages

Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha +1

While impressive performance has been achieved on the task of Answer Sentence Selection (AS2) for English, the same does not hold for languages that lack large labeled datasets. In…

cs.CL2023

Context-Aware Transformer Pre-Training for Answer Sentence Selection

Luca Di Liello, Siddhant Garg, Alessandro Moschitti

Answer Sentence Selection (AS2) is a core component for building an accurate Question Answering pipeline. AS2 models rank a set of candidate sentences based on how likely they answ…

cs.CL2023

Learning Answer Generation using Supervision from Automatic Question Answering Evaluators

Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski +1

Recent studies show that sentence-level extractive QA, i.e., based on Answer Sentence Selection (AS2), is outperformed by Generation-based QA (GenQA) models, which generate answers…

cs.CL2023

QUADRo: Dataset and Models for QUestion-Answer Database Retrieval

Stefano Campese, Ivano Lauriola, Alessandro Moschitti

An effective paradigm for building Automated Question Answering systems is the re-use of previously answered questions, e.g., for FAQs or forum applications. Given a database (DB)…