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Found 20 papers, 4 papers with code
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction
Domain generalisation - the ability of a machine learning model to perform well on new, unseen domains (text types) - is under-explored.
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media
Recent studies on domain-specific BERT models show that effectiveness on downstream tasks can be improved when models are pretrained on in-domain data.
Ranked #3 on
Clinical Concept Extraction
on 2010 i2b2/VA
An Effective Transition-based Model for Discontinuous NER
Unlike widely used Named Entity Recognition (NER) data sets in generic domains, biomedical NER data sets often contain mentions consisting of discontinuous spans.
NNE: A Dataset for Nested Named Entity Recognition in English Newswire
Named entity recognition (NER) is widely used in natural language processing applications and downstream tasks.
Using Similarity Measures to Select Pretraining Data for NER
Word vectors and Language Models (LMs) pretrained on a large amount of unlabelled data can dramatically improve various Natural Language Processing (NLP) tasks.
Ranked #1 on
Named Entity Recognition (NER)
on WetLab
Can adult mental health be predicted by childhood future-self narratives? Insights from the CLPsych 2018 Shared Task
The CLPsych 2018 Shared Task B explores how childhood essays can predict psychological distress throughout the author{'}s life.
English Event Detection With Translated Language Features
We propose novel radical features from automatic translation for event extraction.
Learning to generate one-sentence biographies from Wikidata
We investigate the generation of one-sentence Wikipedia biographies from facts derived from Wikidata slot-value pairs.
Post-edit Analysis of Collective Biography Generation
Text generation is increasingly common but often requires manual post-editing where high precision is critical to end users.
Presenting a New Dataset for the Timeline Generation Problem
The timeline generation task summarises an entity's biography by selecting stories representing key events from a large pool of relevant documents.
:telephone::person::sailboat::whale::okhand:; or "Call me Ishmael" - How do you translate emoji?
We report on an exploratory analysis of Emoji Dick, a project that leverages crowdsourcing to translate Melville's Moby Dick into emoji.
Entity Disambiguation with Web Links
Entity disambiguation with Wikipedia relies on structured information from redirect pages, article text, inter-article links, and categories.
