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Found 8 papers, 1 papers with code
Supervised Clustering of Questions into Intents for Dialog System Applications
Modern automated dialog systems require complex dialog managers able to deal with user intent triggered by high-level semantic questions.
Injecting Relational Structural Representation in Neural Networks for Question Similarity
Effectively using full syntactic parsing information in Neural Networks (NNs) to solve relational tasks, e. g., question similarity, is still an open problem.
Effective shared representations with Multitask Learning for Community Question Answering
An important asset of using Deep Neural Networks (DNNs) for text applications is their ability to automatically engineering features.
Multitask Learning with Deep Neural Networks for Community Question Answering
In this paper, we developed a deep neural network (DNN) that learns to solve simultaneously the three tasks of the cQA challenge proposed by the SemEval-2016 Task 3, i. e., question-comment similarity, question-question similarity and new question-comment similarity.
Addressing Community Question Answering in English and Arabic
In the case of the Arabic question re-ranking task, for the first time we applied tree kernels on syntactic trees of Arabic sentences.
``Who was Pietro Badoglio?'' Towards a QA system for Italian History
This paper presents QUANDHO (QUestion ANswering Data for italian HistOry), an Italian question answering dataset created to cover a specific domain, i. e. the history of Italy in the first half of the XX century.
