Evaluation of QA systems is very challenging and expensive, with the mos...
While impressive performance has been achieved on the task of Answer Sen...
Answer Sentence Selection (AS2) is a core component for building an accu...
Recent studies show that sentence-level extractive QA, i.e., based on An...
An effective paradigm for building Automated Question Answering systems ...
In this paper, we study trade-offs between efficiency, cost and accuracy...
Recent studies show that Question Answering (QA) based on Answer Sentenc...
An important task for designing QA systems is answer sentence selection
...
Inference tasks such as answer sentence selection (AS2) or fact verifica...
While transformers demonstrate impressive performance on many knowledge
...
Current answer sentence selection (AS2) applied in open-domain question
...
Recent work has shown that an answer verification step introduced in
Tra...
Large transformer models can highly improve Answer Sentence Selection (A...
Open-Retrieval Generative Question Answering (GenQA) is proven to delive...
In this paper we propose a novel approach towards improving the efficien...
This paper studies joint models for selecting correct answer sentences a...
The Transformer architecture deeply changed the natural language process...
Answer sentence selection (AS2) modeling requires annotated data, i.e.,
...
We present a study on the design of multilingual Answer Sentence Selecti...
We introduce a Content-based Document Alignment approach (CDA), an effic...
Machine translation (MT) systems, especially when designed for an indust...
Answer Sentence Selection (AS2) is an efficient approach for the design ...
An important task for the design of Question Answering systems is the
se...
Large transformer-based language models have been shown to be very effec...
We introduce AVA, an automatic evaluation approach for Question Answerin...
An essential task of most Question Answering (QA) systems is to re-rank ...
This paper describes the SemEval–2016 Task 3 on Community Question
Answe...
We describe SemEval-2017 Task 3 on Community Question Answering. This ye...
Community Question Answering (cQA) provides new interesting research
dir...
Community question answering, a recent evolution of question answering i...
We propose TANDA, an effective technique for fine-tuning pre-trained
Tra...
In this paper, we propose an approach for transferring the knowledge of ...
We address the problem of detecting duplicate questions in forums, which...
Effectively using full syntactic parsing information in Neural Networks ...
A reasonable approach for fact checking a claim involves retrieving
pote...
We present a novel end-to-end memory network for stance detection, which...
We study how to find relevant questions in community forums when the lan...
We propose to use question answering (QA) data from Web forums to train
...
In this paper, we developed a deep neural network (DNN) that learns to s...
This paper studies the impact of different types of features applied to
...
In this paper, we propose convolutional neural networks for learning an
...
Question answering forums are rapidly growing in size with no effective
...