Toward Fully Exploiting Heterogeneous Corpus:A Decoupled Named Entity Recognition Model with Two-stage Training
Code (0)
등록된 구현이 없습니다.
Tasks
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Similar Papers 제목 키워드 기반
WiNER: A Wikipedia Annotated Corpus for Named Entity Recognition
We revisit the idea of mining Wikipedia in order to generate named-entity annotations. We propose a new methodology that we applied to English Wikipedia to build WiNER, a large, high quality, annotated corpus. We evaluat…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NERA Regional News Corpora for Contextualized Entity Discovery and Linking
This paper presents a German corpus for Named Entity Linking (NEL) and Knowledge Base Population (KBP) tasks. We describe the annotation guideline, the annotation process, NIL clustering techniques and conversion to popu…
ClusteringEntity LinkingKnowledge Base PopulationIMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder
Self-supervised learning (SSL) methods have been increasingly applied to diverse downstream tasks due to their superior generalization capabilities and low annotation costs. However, most existing heterogeneous graph SSL…
Representation LearningSelf-Supervised LearningBuilding a Massive Corpus for Named Entity Recognition using Free Open Data Sources
With the recent progress in machine learning, boosted by techniques such as deep learning, many tasks can be successfully solved once a large enough dataset is available for training. Nonetheless, human-annotated dataset…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NERDiscovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity
Text-rich heterogeneous information networks (text-rich HINs) are ubiquitous in real-world applications. Hypernymy, also known as is-a relation or subclass-of relation, lays in the core of many knowledge graphs and benef…
Knowledge Graphs