# Feature extraction and evaluation for BioMedical Question Answering

Source: [Feature extraction and evaluation for BioMedical Question Answering](<https://www.sota2.com/research/paper/68fa6a041e209131cea25766>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T23:14:37.392Z

Authors: Ankit Shah, Srishti Singh, Shih-Yen Tao

Published: 2021-05-28T17:41:56.000Z

## Abstract

In this paper, we present our work on the BioASQ pipeline. The goal is to answer four types of questions: summary, yes/no, factoids, and list. Our goal is to empirically evaluate different modules involved: the feature extractor and the sentence selection block. We used our pipeline to test the effectiveness of each module for all kinds of question types and perform error analysis. We defined metrics that are useful for future research related to the BioASQ pipeline critical to improve the performance of the training pipeline.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2105.14013>)

[PDF](<https://arxiv.org/pdf/2105.14013.pdf>)