Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition
Leon Derczynski,Eric Nichols,Marieke van Erp,Nut Limsopatham +3 more
- pp 140-147
TLDR
The goal of this task is to provide a definition of emerging and of rare entities, and based on that, also datasets for detecting these entities and to evaluate the ability of participating entries to detect and classify novel and emerging named entities in noisy text.Citations
More filters
Journal ArticleDOI
HealthE: Classifying Entities in Online Textual Health Advice
TL;DR: A new annotated dataset, HealthE, consisting of 6,756 health advice, which has a more granular label space compared to existing medical NER corpora and contains annotation for diverse health phrases and introduces a new health entity classification model, EP S-BERT, which leverages textual context patterns in the classi-cation of entity classes.
Named Entity Recognition for Social Media Text
TL;DR: This thesis aims to perform named entity recognition for English social media texts with Named Entity Recognition (NER) applied in many NLP tasks as an important preprocessing procedure.
Journal ArticleDOI
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
TL;DR: TadNER as discussed by the authors proposed a type-aware span filtering strategy to filter out false spans by removing those semantically far away from type names and then constructed more accurate and stable prototypes by jointly exploiting support samples and type names as references.
Journal ArticleDOI
NER-to-MRC: Named-Entity Recognition Completely Solving as Machine Reading Comprehension
TL;DR: In this paper , a NER-to-MRC model is proposed to transform the NER task into a form suitable for the model to solve with MRC in an efficient manner.
Journal ArticleDOI
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search
TL;DR: In this article , the authors proposed a prompting method for few-shot NER via k nearest neighbor search, which enables the model to fine-tune with only the support set.
References
More filters
Proceedings ArticleDOI
The Stanford CoreNLP Natural Language Processing Toolkit
Christopher D. Manning,Mihai Surdeanu,John Bauer,Jenny Rose Finkel,Steven Bethard,David McClosky +5 more
TL;DR: The design and use of the Stanford CoreNLP toolkit is described, an extensible pipeline that provides core natural language analysis, and it is suggested that this follows from a simple, approachable design, straightforward interfaces, the inclusion of robust and good quality analysis components, and not requiring use of a large amount of associated baggage.
Book
Naming and Necessity
TL;DR: In this paper, the authors make a connection between the mind-body problem and the so-called "identity thesis" in analytic philosophy, which has wide-ranging implications for other problems in philosophy that traditionally might be thought far-removed.
Proceedings ArticleDOI
Introduction to the CoNLL-2003 shared task: language-independent named entity recognition
TL;DR: The CoNLL-2003 shared task on NER as mentioned in this paper was the first NER task with language-independent named entity recognition (NER) data sets and evaluation method, and a general overview of the systems that participated in the task and their performance.
Posted Content
NLTK: The Natural Language Toolkit
Edward Loper,Steven Bird +1 more
TL;DR: NLTK, the Natural Language Toolkit, is a suite of open source program modules, tutorials and problem sets, providing ready-to-use computational linguistics courseware that covers symbolic and statistical natural language processing.