Alessandro Moschitti

research

∙ 09/21/2023

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

Evaluation of QA systems is very challenging and expensive, with the mos...

0 Matteo Gabburo, et al. ∙

research

∙ 05/25/2023

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

While impressive performance has been achieved on the task of Answer Sen...

0 Shivanshu Gupta, et al. ∙

research

∙ 05/24/2023

Context-Aware Transformer Pre-Training for Answer Sentence Selection

Answer Sentence Selection (AS2) is a core component for building an accu...

0 Luca Di Liello, et al. ∙

research

∙ 05/24/2023

Learning Answer Generation using Supervision from Automatic Question Answering Evaluators

Recent studies show that sentence-level extractive QA, i.e., based on An...

0 Matteo Gabburo, et al. ∙

research

∙ 03/30/2023

QUADRo: Dataset and Models for QUestion-Answer Database Retrieval

An effective paradigm for building Automated Question Answering systems ...

0 Stefano Campese, et al. ∙

research

∙ 10/24/2022

Effective Pre-Training Objectives for Transformer-based Autoencoders

In this paper, we study trade-offs between efficiency, cost and accuracy...

0 Luca Di Liello, et al. ∙

research

∙ 10/23/2022

Knowledge Transfer from Answer Ranking to Answer Generation

Recent studies show that Question Answering (QA) based on Answer Sentenc...

0 Matteo Gabburo, et al. ∙

research

∙ 05/20/2022

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection

An important task for designing QA systems is answer sentence selection ...

0 Luca Di Liello, et al. ∙

research

∙ 05/02/2022

Paragraph-based Transformer Pre-training for Multi-Sentence Inference

Inference tasks such as answer sentence selection (AS2) or fact verifica...

0 Luca Di Liello, et al. ∙

research

∙ 03/17/2022

DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection

While transformers demonstrate impressive performance on many knowledge ...

9 Nic Jedema, et al. ∙

research

∙ 01/16/2022

In Situ Answer Sentence Selection at Web-scale

Current answer sentence selection (AS2) applied in open-domain question ...

5 Zeyu Zhang, et al. ∙

research

∙ 01/16/2022

Double Retrieval and Ranking for Accurate Question Answering

Recent work has shown that an answer verification step introduced in Tra...

3 Zeyu Zhang, et al. ∙

research

∙ 01/15/2022

Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems

Large transformer models can highly improve Answer Sentence Selection (A...

0 Yoshitomo Matsubara, et al. ∙

research

∙ 10/14/2021

Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering

Open-Retrieval Generative Question Answering (GenQA) is proven to delive...

0 Benjamin Müller, et al. ∙

research

∙ 09/14/2021

Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering

In this paper we propose a novel approach towards improving the efficien...

0 Siddhant Garg, et al. ∙

research

∙ 07/09/2021

Joint Models for Answer Verification in Question Answering Systems

This paper studies joint models for selecting correct answer sentences a...

12 Zeyu Zhang, et al. ∙

research

∙ 04/20/2021

Efficient pre-training objectives for Transformers

The Transformer architecture deeply changed the natural language process...

0 Luca Di Liello, et al. ∙

research

∙ 04/18/2021

Reference-based Weak Supervision for Answer Sentence Selection using Web Data

Answer sentence selection (AS2) modeling requires annotated data, i.e., ...

10 Vivek Krishnamurthy, et al. ∙

research

∙ 02/20/2021

Multilingual Answer Sentence Reranking via Automatically Translated Data

We present a study on the design of multilingual Answer Sentence Selecti...

5 Thuy Vu, et al. ∙

research

∙ 02/20/2021

CDA: a Cost Efficient Content-based Multilingual Web Document Aligner

We introduce a Content-based Document Alignment approach (CDA), an effic...

1 Thuy Vu, et al. ∙

research

∙ 02/20/2021

Machine Translation Customization via Automatic Training Data Selection from the Web

Machine translation (MT) systems, especially when designed for an indust...

7 Thuy Vu, et al. ∙

research

∙ 01/28/2021

Modeling Context in Answer Sentence Selection Systems on a Latency Budget

Answer Sentence Selection (AS2) is an efficient approach for the design ...

1 Rujun Han, et al. ∙

research

∙ 06/01/2020

Context-based Transformer Models for Answer Sentence Selection

An important task for the design of Question Answering systems is the se...

0 Ivano Lauriola, et al. ∙

research

∙ 05/05/2020

The Cascade Transformer: an Application for Efficient Answer Sentence Selection

Large transformer-based language models have been shown to be very effec...

0 Luca Soldaini, et al. ∙

research

∙ 05/02/2020

AVA: an Automatic eValuation Approach to Question Answering Systems

We introduce AVA, an automatic evaluation approach for Question Answerin...

5 Thuy Vu, et al. ∙

research

∙ 03/04/2020

A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection

An essential task of most Question Answering (QA) systems is to re-rank ...

0 Daniele Bonadiman, et al. ∙

research

∙ 12/03/2019

SemEval-2016 Task 3: Community Question Answering

This paper describes the SemEval–2016 Task 3 on Community Question Answe...

0 Preslav Nakov, et al. ∙

research

∙ 12/02/2019

SemEval-2017 Task 3: Community Question Answering

We describe SemEval-2017 Task 3 on Community Question Answering. This ye...

11 Preslav Nakov, et al. ∙

research

∙ 11/26/2019

SemEval-2015 Task 3: Answer Selection in Community Question Answering

Community Question Answering (cQA) provides new interesting research dir...

5 Preslav Nakov, et al. ∙

research

∙ 11/20/2019

Global Thread-Level Inference for Comment Classification in Community Question Answering

Community question answering, a recent evolution of question answering i...

8 Shafiq Joty, et al. ∙

research

∙ 11/11/2019

TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection

We propose TANDA, an effective technique for fine-tuning pre-trained Tra...

0 Siddhant Garg, et al. ∙

research

∙ 02/14/2019

Transfer Learning for Sequence Labeling Using Source Model and Target Data

In this paper, we propose an approach for transferring the knowledge of ...

0 Lingzhen Chen, et al. ∙

research

∙ 09/07/2018

Adversarial Domain Adaptation for Duplicate Question Detection

We address the problem of detecting duplicate questions in forums, which...

0 Darsh J Shah, et al. ∙

research

∙ 06/20/2018

Injecting Relational Structural Representation in Neural Networks for Question Similarity

Effectively using full syntactic parsing information in Neural Networks ...

0 Antonio Uva, et al. ∙

research

∙ 04/21/2018

Integrating Stance Detection and Fact Checking in a Unified Corpus

A reasonable approach for fact checking a claim involves retrieving pote...

0 Ramy Baly, et al. ∙

research

∙ 04/20/2018

Automatic Stance Detection Using End-to-End Memory Networks

We present a novel end-to-end memory network for stance detection, which...

0 Mitra Mohtarami, et al. ∙

research

∙ 10/04/2017

Cross-Language Question Re-Ranking

We study how to find relevant questions in community forums when the lan...

0 Giovanni Da San Martino, et al. ∙

research

∙ 10/02/2017

Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics

We propose to use question answering (QA) data from Web forums to train ...

0 Martin Boyanov, et al. ∙

research

∙ 02/13/2017

Multitask Learning with Deep Neural Networks for Community Question Answering

In this paper, we developed a deep neural network (DNN) that learns to s...

0 Daniele Bonadiman, et al. ∙

research

∙ 10/18/2016

Addressing Community Question Answering in English and Arabic

This paper studies the impact of different types of features applied to ...

0 Giovanni Da San Martino, et al. ∙

research

∙ 04/05/2016

Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks

In this paper, we propose convolutional neural networks for learning an ...

0 Aliaksei Severyn, et al. ∙

research

∙ 12/17/2015

Semi-supervised Question Retrieval with Gated Convolutions

Question answering forums are rapidly growing in size with no effective ...

0 Tao Lei, et al. ∙

Alessandro Moschitti

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