Embedding Methods for Fine Grained Entity Type Classification

2015-07-01 · IJCNLP 2015 7 · Dani Yogatama, Daniel Gillick, Nevena Lazic

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Tasks

Classification Coreference Resolution Document Classification General Classification Named Entity Recognition (NER)Part-Of-Speech Tagging Question Answering Relation Extraction Representation Learning Vocal Bursts Type Prediction

Improving Entity Linking by Encoding Type Information into Entity Embeddings

2021-08-01 · CCL 2021 8 · Li Tianran, Yang Erguang, Zhang Yujie, Chen Yufeng 외

“Entity Linking (EL) refers to the task of linking entity mentions in the text to the correct entities inthe Knowledge Base (KB) in which entity embeddings play a vital and challenging role because of the subtle differen…

Entity Embeddings Entity Linking Vocal Bursts Type Prediction

Label Embedding for Zero-shot Fine-grained Named Entity Typing

2016-12-01 · COLING 2016 12 · Yukun Ma, Erik Cambria, Sa Gao

Named entity typing is the task of detecting the types of a named entity in context. For instance, given {``}Eric is giving a presentation{''}, our goal is to infer that {`}Eric{'} is a speaker or a presenter and a perso…

Entity Linking Entity Typing Named Entity Recognition (NER)Question Answering+2

Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases

2018-08-01 · COLING 2018 8 · Hailong Jin, Lei Hou, Juanzi Li, Tiansi Dong

Fine-grained entity typing aims at identifying the semantic type of an entity in KB. Type information is very important in knowledge bases, but are unfortunately incomplete even in some large knowledge bases. Limitations…

Entity Linking Entity Typing Knowledge Base Completion Question Answering+2

Intermediate Entity-based Sparse Interpretable Representation Learning

2022-12-03 · Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace

Interpretable entity representations (IERs) are sparse embeddings that are "human-readable" in that dimensions correspond to fine-grained entity types and values are predicted probabilities that a given entity is of the …

counterfactual Representation Learning

Interpretable Entity Representations through Large-Scale Typing

2020-04-30 · Findings of the Association for Computational Linguistics 2020 · Yasumasa Onoe, Greg Durrett

In standard methodology for natural language processing, entities in text are typically embedded in dense vector spaces with pre-trained models. The embeddings produced this way are effective when fed into downstream mod…

Entity Embeddings Entity Typing