Entity Disambiguation
57 papers with code • 11 benchmarks • 12 datasets
Entity Disambiguation is the task of linking mentions of ambiguous entities to their referent entities in a knowledge base such as Wikipedia.
Source: Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation
Benchmarks
These leaderboards are used to track progress in Entity Disambiguation
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Datasets
CoNLL
AIDA CoNLL-YAGO
AQUAINT
TAC 2010
Wikidata-Disamb
Latest papers with no code
Robustness Evaluation of Entity Disambiguation Using Prior Probes:the Case of Entity Overshadowing
We evaluate and report the performance of popular EL systems on the ShadowLink benchmark.
Multimodal Knowledge Learning for Named Entity Disambiguation
With the popularity of online social medias in recent years, massive-scale multimodal information has brought new challenges to traditional Named Entity Disambiguation (NED) tasks.
Medical Entity Disambiguation Using Graph Neural Networks
Entity disambiguation (also referred to as entity linking) is considered as an essential task in unlocking the wealth of such medical KBs.
Type Prediction Systems
Inferring semantic types for entity mentions within text documents is an important asset for many downstream NLP tasks, such as Semantic Role Labelling, Entity Disambiguation, Knowledge Base Question Answering, etc.
An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languages
Entity Linking is one of the essential tasks of information extraction and natural language understanding.
KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System
We introduce KOSMOS, a knowledge retrieval system based on the constructed knowledge graph of social media and mainstream media documents.
Knowledge-Enhanced Named Entity Disambiguation for Short Text
Named entity disambiguation is an important task that plays the role of bridge between text and knowledge.
Is Language Modeling Enough? Evaluating Effective Embedding Combinations
We present PubMedSection, a novel topic classification dataset focussed on the biomedical domain.
Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach
In this paper, we present SoftwareKG - a knowledge graph that contains information about software mentions from more than 51, 000 scientific articles from the social sciences.
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
Entity linking - connecting entity mentions in a natural language utterance to knowledge graph (KG) entities is a crucial step for question answering over KGs.
