This is the problem of detecting duplicate questions in forums, which is an important step towards automating the process of answering new questions
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We have used it for the financial domain, but the framework is generalized for any domain-specific search engine and can be used in other domains as well.
People increasingly search online for answers to their medical questions but the rate at which medical questions are asked online significantly exceeds the capacity of qualified people to answer them.
This paper describes our method for the task of Semantic Question Similarity in Arabic in the workshop on NLP Solutions for Under-Resourced Languages (NSURL).
Ranked #1 on Question Similarity on Q2Q Arabic Benchmark
The rate at which medical questions are asked online far exceeds the capacity of qualified people to answer them, and many of these questions are not unique.
Question semantic similarity is a challenging and active research problem that is very useful in many NLP applications, such as detecting duplicate questions in community question answering platforms such as Quora.
Question semantic similarity (Q2Q) is a challenging task that is very useful in many NLP applications, such as detecting duplicate questions and question answering systems.
In this paper, we propose a systematic study of the impact of the main word embedding models on sentence representation.
Community Question Answering forums are popular among Internet users, and a basic problem they encounter is trying to find out if their question has already been posed before.
This paper presents a multi-task learning approach to natural language inference (NLI) and question entailment (RQE) in the biomedical domain.