Semantic similarity detection is a fundamental task in natural language understanding.
Adding topic information has been useful for previous feature-engineered semantic similarity …

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 …

Community question answering (CQA) is an important but challenging task. Meantime, as
the theory of deep learning develops, remarkable progress has been made by deep neural …

We study the community question answering (CQA) problem that emerges with the advent of
numerous community forums in the recent past. The task of finding appropriate answers to …

In recent years, Question Answering (QA) systems have gained popularity as a means of
acquiring knowledge. However, the prevalent approach of matching question-answer pairs …

Semantic similarity detection is a crucial task in natural language comprehension and plays
an important role in many NLP applications such as information extraction, text …

In recent years, forums offering community Question Answering (cQA) services gained
popularity on the web, as they offer a new opportunity for users to search and share …

Abstract Community Question Answering (CQA) provides platforms for users with various
background to obtain information and share knowledge. In the recent years, with the rapid …

With the increasing popularity of knowledge graph (KG), many applications such as
sentiment analysis, trend prediction, and question answering use KG for better performance …

Large pre-trained language models such as BERT have been the driving force behind
recent improvements across many NLP tasks. However, BERT is only trained to predict …