WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols

2020-10-27 · EMNLP (WNUT) 2020 11 · Jeniya Tabassum, Sydney Lee, Wei Xu, Alan Ritter

This paper presents the results of the wet lab information extraction task at WNUT 2020. This task consisted of two sub tasks: (1) a Named Entity Recognition (NER) task with 13 participants and (2) a Relation Extraction (RE) task with 2 participants. We outline the task, data annotation process, corpus statistics, and provide a high-level overview of the participating systems for each sub task.

📄 PDF Abstract BibTeX arXiv:2010.14576

Code (1)

jeniyat/WNUT_2020_NER 공식 구현

Tasks

named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NERRelationRelation Extraction

Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification

2020-12-07 · EMNLP (WNUT) 2020 11 · Chris Miller, Soroush Vosoughi

Relation and event extraction is an important task in natural language processing. We introduce a system which uses contextualized knowledge graph completion to classify relations and events between known entities in a n…

Event Extraction General Classification Knowledge Graph Completion Relation+1

A Comprehensive Survey of Document-level Relation Extraction (2016-2023)

2023-09-28 · Julien Delaunay, Hanh Thi Hong Tran, Carlos-Emiliano González-Gallardo, Georgeta Bordea 외

Document-level relation extraction (DocRE) is an active area of research in natural language processing (NLP) concerned with identifying and extracting relationships between entities beyond sentence boundaries. Compared …

Articles Document-level Relation Extraction Relation Relation Extraction+2

WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets

2020-10-16 · EMNLP (WNUT) 2020 11 · Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi, Mai Hoang Dao 외

In this paper, we provide an overview of the WNUT-2020 shared task on the identification of informative COVID-19 English Tweets. We describe how we construct a corpus of 10K Tweets and organize the development and evalua…

Task 2 Text Classification

WNUT 2020 Shared Task-1: Conditional Random Field(CRF) based Named Entity Recognition(NER) for Wet Lab Protocols

2020-11-01 · EMNLP (WNUT) 2020 11 · Kaushik Acharya

The paper describes how classifier model built using Conditional Random Field detects named entities in wet lab protocols.

named-entity-recognition Named Entity Recognition Named Entity Recognition (NER)NER

Results of the WNUT16 Named Entity Recognition Shared Task

2016-12-01 · WS 2016 12 · Benjamin Strauss, Bethany Toma, Alan Ritter, Marie-Catherine de Marneffe 외

This paper presents the results of the Twitter Named Entity Recognition shared task associated with W-NUT 2016: a named entity tagging task with 10 teams participating. We outline the shared task, annotation process and …

Named Entity Recognition Named Entity Recognition (NER)