This resource contains the five non-factoid answer selection datasets based on StackExchange of our paper "COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data" https://aaai.org/ojs/index.php/AAAI/article/view/4671/4549
In this paper, we propose a Multi-Task learning approach for Answer Selection (MTAS), motivated by t...
Answer selection is an important subtask of question answering (QA), in which deep models usually ac...
Considerable progress in neural question answering has been made on competitive general domain datas...
This resource contains the five non-factoid answer selection datasets based on StackExchange of our ...
Current neural network based community question answering (cQA) systems fall short of (1) properly h...
Current neural network based community question answering (cQA) systems fall short of (1) properly h...
Answer selection focuses on selecting the correct answer for a question. Most previous work on answe...
Answer selection plays a key role in community question answering (CQA). Previous research on answer...
Advanced attention mechanisms are an important part of successful neural network approaches for non-...
As a key problem in artificial intelligence, question answering (QA) has always been a topic of inte...
Addressing Answer Selection (AS) tasks with complex neural networks typically requires a large amoun...
Answer selection is one of the key steps in many Question Answering (QA) applications. In this paper...
In this paper, we propose solutions to advance answer selection in Community Question Answering (CQA...
Answer Sentence Selection is one of the steps typically involved in Question Answering. Question Ans...
International audienceSince end-to-end deep learning models have started to replace traditional pipe...
In this paper, we propose a Multi-Task learning approach for Answer Selection (MTAS), motivated by t...
Answer selection is an important subtask of question answering (QA), in which deep models usually ac...
Considerable progress in neural question answering has been made on competitive general domain datas...
This resource contains the five non-factoid answer selection datasets based on StackExchange of our ...
Current neural network based community question answering (cQA) systems fall short of (1) properly h...
Current neural network based community question answering (cQA) systems fall short of (1) properly h...
Answer selection focuses on selecting the correct answer for a question. Most previous work on answe...
Answer selection plays a key role in community question answering (CQA). Previous research on answer...
Advanced attention mechanisms are an important part of successful neural network approaches for non-...
As a key problem in artificial intelligence, question answering (QA) has always been a topic of inte...
Addressing Answer Selection (AS) tasks with complex neural networks typically requires a large amoun...
Answer selection is one of the key steps in many Question Answering (QA) applications. In this paper...
In this paper, we propose solutions to advance answer selection in Community Question Answering (CQA...
Answer Sentence Selection is one of the steps typically involved in Question Answering. Question Ans...
International audienceSince end-to-end deep learning models have started to replace traditional pipe...
In this paper, we propose a Multi-Task learning approach for Answer Selection (MTAS), motivated by t...
Answer selection is an important subtask of question answering (QA), in which deep models usually ac...
Considerable progress in neural question answering has been made on competitive general domain datas...
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