Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review
Over the last couple of decades, community question‐answering sites (CQAs) have been a
topic of much academic interest. Scholars have often leveraged traditional machine learning …
topic of much academic interest. Scholars have often leveraged traditional machine learning …
Semantic models for the first-stage retrieval: A comprehensive review
Multi-stage ranking pipelines have been a practical solution in modern search systems,
where the first-stage retrieval is to return a subset of candidate documents and latter stages …
where the first-stage retrieval is to return a subset of candidate documents and latter stages …
[BOOK][B] Pretrained transformers for text ranking: Bert and beyond
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …
response to a query. Although the most common formulation of text ranking is search …
A proposed conceptual framework for a representational approach to information retrieval
J Lin - ACM SIGIR Forum, 2022 - dl.acm.org
This paper outlines a conceptual framework for understanding recent developments in
information retrieval and natural language processing that attempts to integrate dense and …
information retrieval and natural language processing that attempts to integrate dense and …
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 …
A survey on expert recommendation in community question answering
Community question answering (CQA) represents the type of Web applications where
people can exchange knowledge via asking and answering questions. One significant …
people can exchange knowledge via asking and answering questions. One significant …
Large-scale question tagging via joint question-topic embedding learning
Recent years have witnessed a flourishing of community-driven question answering (cQA),
like Yahoo! Answers and AnswerBag, where people can seek precise information. After …
like Yahoo! Answers and AnswerBag, where people can seek precise information. After …
Question answer system: A state-of-art representation of quantitative and qualitative analysis
Question Answer System (QAS) automatically answers the question asked in natural
language. Due to the varying dimensions and approaches that are available, QAS has a …
language. Due to the varying dimensions and approaches that are available, QAS has a …
Fully authentic visual question answering dataset from online communities
Abstract Visual Question Answering (VQA) entails answering questions about images. We
introduce the first VQA dataset in which all contents originate from an authentic use case …
introduce the first VQA dataset in which all contents originate from an authentic use case …
Predicting the quality of answers with less bias in online health question answering communities
Y Qiu, S Ding, D Tian, C Zhang, D Zhou - Information Processing & …, 2022 - Elsevier
Existing approaches in online health question answering (HQA) communities to identify the
quality of answers either address it subjectively by human assessment or mainly using …
quality of answers either address it subjectively by human assessment or mainly using …