# Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts

arXiv: https://arxiv.org/abs/1812.06199 · HTML: https://mlsanity.com/paper/1812.06199/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Dec 2018.

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

- [When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context](https://mlsanity.com/paper/2410.07567/) (2024)

## Abstract (arXiv)

We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts. This constitutes a non-trivial, inter-sentential relation extraction task. We focus on biological context as descriptions of the species, tissue type and cell type that are associated with biochemical events. We describe the properties of an annotated corpus of context-event relations and present and evaluate several classifiers for context-event association trained on syntactic, distance and frequency features.