Сообщество Вопросов и Ответов

An increasingly popular method for finding information online is via the Community Question Answering (CQA) portals such as Yahoo! An- swers, Naver, and Baidu Knows. Searching the CQA archives, and …...

This paper presents a framework for au- tomatically processing information com- ing from community Question Answering (cQA) portals with the purpose of gen- erating a trustful, complete, relevant and succinct …...

AbstractFinding useful questions is a challenging task in Community Question Answering (CQA). There are two key issues need to be resolved: 1) what is a useful question to the given …...

Community question answering (CQA) has become an increasingly popular re- search topic. In this paper, we focus on the problem of question retrieval. Question retrieval in CQA can automatically find …...

Estimating questions’ difficulty levels is an important task in community question answering (CQA) services. Previous stud- ies propose to solve this problem based on the question-user comparisons extract- ed from …...

Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly con- sult the opinion of a number of people on a particular …...

Community Question Answering websites (CQA) have a growing popularity as a way of providing and searching of information. CQA attract users as they provide a direct and rapid way to …...

Community Question Answering (cQA) pro- vides new interesting research directions to the traditional Question Answering (QA) field, e.g., the exploitation of the interaction between users and the structure of related …...

We describe our system, ConvKN, participat- ing to the SemEval-2016 Task 3 “Commu- nity Question Answering”. The task targeted the reranking of questions and comments in real-life web fora both …...

This paper describes the system we submit- ted to the task 3 (Community Question An- swering) in SemEval 2016, which contains three subtasks, i.e., Question-Comment Simi- larity (subtask A), Question-Question …...

AbstractIn community question answering (cQA), the quality of answers are determined by the matching degree between question-answer pairs and the correlation among the answers. In this paper, we show that …...

We describe our submission to SemEval-2016 Task 3 on Community Question Answering. We participated in subtask A, which asks to rerank the comments from the thread for a given forum …...

AbstractCommunity question answering (cQA) websites are focused on users who query questions onto an online forum, expecting for other users to provide them answers or suggestions. Unlike other social media, …...

We describe our system for finding good an- swers in a community forum, as defined in SemEval-2016, Task 3 on Community Ques- tion Answering. Our approach relies on sev- eral …...

Community Question Answering (cQA) services like Yahoo! Answers1, Baidu Zhidao2, Quora3, StackOverflow4 etc. provide a platform for interaction with experts and help users to obtain precise and accurate answers to …...

AbstractIn this paper we present ThReeNN, a model for Community Question Answering, Task 3, of SemEval-2017. The proposed model exploits both syntactic and semantic information to build a single and …...

AbstractGiven the constantly growing proliferation of false claims online in recent years, there has been also a growing research interest in automatically distinguishing false rumors from factually true claims. Here, …...

AbstractWe describes deep neural networks frameworks in this paper to address the community question answering (cQA) ranking task (SemEval-2017 task 3). Convolutional neural networks and bi-directional long-short term memory networks …...

AbstractThis paper describes our system, dubbed MoRS (Modular Ranking System), pronounced ‘Morse’, which participated in Task 3 of SemEval-2017. We used MoRS to perform the Community Question Answering Task 3, …...

AbstractThe majority of core techniques to solve many problems in Community Question Answering (CQA) task rely on similarity computation. This work focuses on similarity between two sentences (or questions in …...

Community Question Answering (CQA) websites have become a very popular and useful source of information, which helps users to find out answers to their corresponding questions. On one hand, if …...

AbstractUser-generated content such as the questions on community question answering (CQA) forums does not always come with appropriate headlines, in contrast to the news articles used in various headline generation …...

Recent years have witnessed a high interest in non-factoid question answering using Community Question Answering (CQA) web sites. Despite ongoing research using state-of-the-art methods, there is a scarcity of available …...

Users often query a search engine with a specific question in mind and often these queries are keywords or sub-sentential fragments. In this paper, we are proposing a method to …...

AbstractSince the resources of Community Question Answering are abundant and information sharing becomes universal, it will be increasingly difficult to find factual information for questioners in massive messages. SemEval 2019 …...

AbstractOnline Community Question Answering Forums (cQA) have gained massive popularity within recent years. The rise in users for such forums have led to the increase in the need for automated …...

AbstractFor many NLP applications, such as question answering and summarization, the goal is to select the best solution from a large space of candidates to meet a particular user’s needs. …...

AbstractCommunity Question Answering (CQA) fora such as Stack Overflow and Yahoo! Answers contain a rich resource of answers to a wide range of community-based questions. Each question thread can receive …...

AbstractCommunity Question Answering (CQA) forums provide answers to many real-life questions. These forums are trendy among machine learning researchers due to their large size. Automatic answer selection, answer ranking, question …...