paper-with-me

홈 › Papers

Benchmarking Biomedical Nested NER and Relation Extraction Models

2021-10-16 · ACL ARR October 2021 10 · Anonymous

The Open EPPI corpus comprises $151$ full-text papers annotated by domain experts for entity mentions, protein-protein interactions (PPIs), and normalisation of entities to publicly available ontologies. The corpus is publicly available at [ANON]. We benchmark recent nested NER and relation extraction models. Results show that, although existing nested NER models achieve good performance on outermost and innermost entity mentions, they struggle with other types of nested mentions. Benchmark results for relation extraction show substantial room for improvement with precision under $70$ and recall around $40$ to $52$.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

BenchmarkingNERRelationRelation Extraction

Similar Papers 제목 키워드 기반

Biomedical Event Extraction as Multi-turn Question Answering

2020-11-01 · EMNLP (Louhi) 2020 11 · Xing David Wang, Leon Weber, Ulf Leser

Biomedical event extraction from natural text is a challenging task as it searches for complex and often nested structures describing specific relationships between multiple molecular entities, such as genes, proteins, o…

Event ExtractionKnowledge Base PopulationLanguage ModelingLanguage Modelling+2

DeepEventMine: end-to-end neural nested event extraction from biomedical texts

2020-06-17 · Hai-Long Trieu, Thy Thy Tran, Khoa N A Duong, Anh Nguyen 외

Motivation Recent neural approaches on event extraction from text mainly focus on flat events in general domain, while there are less attempts to detect nested and overlapping events. These existing systems are built on…

Event ExtractionSentence

Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing

2018-07-01 · WS 2018 7 · Jari Bj{\"o}rne, Tapio Salakoski

Event and relation extraction are central tasks in biomedical text mining. Where relation extraction concerns the detection of semantic connections between pairs of entities, event extraction expands this concept with th…

Dependency ParsingDiversityEvent ExtractionNER+4

Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019

2019-10-08 · WS 2019 11 · Usama Yaseen, Pankaj Gupta, Hinrich Schütze

Named Entity Recognition (NER) and Relation Extraction (RE) are essential tools in distilling knowledge from biomedical literature. This paper presents our findings from participating in BioNLP Shared Tasks 2019. We addr…

Binary Relation Extractionnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+4

A Structure-aware Generative Model for Biomedical Event Extraction

2024-08-13 · Haohan Yuan, Siu Cheung Hui, Haopeng Zhang

Biomedical Event Extraction (BEE) is a challenging task that involves modeling complex relationships between fine-grained entities in biomedical text. BEE has traditionally been formulated as a classification problem. Wi…

Event Extraction