mlsanityData to 14 Oct 2026

Feature extraction and evaluation for BioMedical Question Answering

arXiv 2105.14013 ↗First posted 28 May 2021cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 14 references that are in the map. First posted on arXiv 28 May 2021.

Builds on

2 of 14 references.

References · 2

  1. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  2. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,475

Built on by

Not cited yet.