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 noisy text environment. We report results which show that our system is able to effectively extract relations and events from a dataset of wet lab protocols.

📄 PDF Abstract BibTeX arXiv:2012.04538

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Tasks

Event Extraction General Classification Knowledge Graph CompletionRelationRelation Extraction

mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab Protocols

2020-11-01 · Workshop on Noisy User-generated Text 2020 11 · Mohammad Golam Sohrab, Anh-Khoa Duong Nguyen, Makoto Miwa, Hiroya Takamura

We present a neural exhaustive approach that addresses named entity recognition (NER) and relation recognition (RE), for the entity and relation recognition over the wet-lab protocols shared task. We introduce BERT-ba…

named-entity-recognition Named Entity Recognition Named Entity Recognition (NER)NER+2

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 …

named-entity-recognition Named Entity Recognition Named Entity Recognition (NER)NER+2

Fancy Man Launches Zippo at WNUT 2020 Shared Task-1: A Bert Case Model for Wet Lab Entity Extraction

2020-11-01 · EMNLP (WNUT) 2020 11 · Qingcheng Zeng, Xiaoyang Fang, Zhexin Liang, Haoding Meng

Automatic or semi-automatic conversion of protocols specifying steps in performing a lab procedure into machine-readable format benefits biological research a lot. These noisy, dense, and domain-specific lab protocols pr…

Sensitivity

Fancy Man Lauches Zippo at WNUT 2020 Shared Task-1: A Bert Case Model for Wet Lab Entity Extraction

2020-09-28 · Haoding Meng, Qingcheng Zeng, Xiaoyang Fang, Zhexin Liang

Sensitivity

NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets

2020-11-01 · EMNLP (WNUT) 2020 11 · Jagadeesh M S, Alphonse P J A

This paper presents the model submitted by NIT COVID-19 team for identified informative COVID-19 English tweets at WNUT-2020 Task2. This shared task addresses the problem of automatically identifying whether an English t…

Task 2