# A survey of Community Question Answering

arXiv: https://arxiv.org/abs/1705.04009 · HTML: https://mlsanity.com/paper/1705.04009/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 May 2017.

## Built on by (most cited first, 1 of 1)

- [VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction](https://mlsanity.com/paper/2112.04195/) (2021)

## Abstract (arXiv)

With the advent of numerous community forums, tasks associated with the same have gained importance in the recent past. With the influx of new questions every day on these forums, the issues of identifying methods to find answers to said questions, or even trying to detect duplicate questions, are of practical importance and are challenging in their own right. This paper aims at surveying some of the aforementioned issues, and methods proposed for tackling the same.
