# Answering Comparative Questions: Better than Ten-Blue-Links?

arXiv: https://arxiv.org/abs/1901.05041 · HTML: https://mlsanity.com/paper/1901.05041/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Jan 2019.

## Built on by (most cited first, 2 of 2)

- [RuArg-2022: Argument Mining Evaluation](https://mlsanity.com/paper/2206.09249/) (2022)
- [BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment](https://mlsanity.com/paper/2509.07588/) (2025)

## Abstract (arXiv)

We present CAM (comparative argumentative machine), a novel open-domain IR system to argumentatively compare objects with respect to information extracted from the Common Crawl. In a user study, the participants obtained 15% more accurate answers using CAM compared to a "traditional" keyword-based search and were 20% faster in finding the answer to comparative questions.