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Deep learning-based question answering: a survey
Question Answering is a crucial natural language processing task. This field of research has
attracted a sudden amount of interest lately due mainly to the integration of the deep …
attracted a sudden amount of interest lately due mainly to the integration of the deep …
SemEval-2017 task 3: Community question answering
We describe SemEval-2017 Task 3 on Community Question Answering. This year, we reran
the four subtasks from SemEval-2016:(A) Question-Comment Similarity,(B) Question …
the four subtasks from SemEval-2016:(A) Question-Comment Similarity,(B) Question …
Hyperbolic representation learning for fast and efficient neural question answering
The dominant neural architectures in question answer retrieval are based on recurrent or
convolutional encoders configured with complex word matching layers. Given that recent …
convolutional encoders configured with complex word matching layers. Given that recent …
Question answering through transfer learning from large fine-grained supervision data
We show that the task of question answering (QA) can significantly benefit from the transfer
learning of models trained on a different large, fine-grained QA dataset. We achieve the …
learning of models trained on a different large, fine-grained QA dataset. We achieve the …
Attentive interactive neural networks for answer selection in community question answering
Answer selection plays a key role in community question answering (CQA). Previous
research on answer selection usually ignores the problems of redundancy and noise …
research on answer selection usually ignores the problems of redundancy and noise …
Adversarial domain adaptation for duplicate question detection
We address the problem of detecting duplicate questions in forums, which is an important
step towards automating the process of answering new questions. As finding and annotating …
step towards automating the process of answering new questions. As finding and annotating …
Simbow at semeval-2017 task 3: Soft-cosine semantic similarity between questions for community question answering
This paper describes the SimBow system submitted at SemEval2017-Task3, for the question-
question similarity subtask B. The proposed approach is a supervised combination of …
question similarity subtask B. The proposed approach is a supervised combination of …
Multi-cast attention networks
Attention is typically used to select informative sub-phrases that are used for prediction. This
paper investigates the novel use of attention as a form of feature augmentation, ie, casted …
paper investigates the novel use of attention as a form of feature augmentation, ie, casted …
Question condensing networks for answer selection in community question answering
Answer selection is an important subtask of community question answering (CQA). In a real-
world CQA forum, a question is often represented as two parts: a subject that summarizes …
world CQA forum, a question is often represented as two parts: a subject that summarizes …
A review of the analytics techniques for an efficient management of online forums: An architecture proposal
E-learning is a response to the new educational needs of society and an important
development in information and communication technologies because it represents the …
development in information and communication technologies because it represents the …