Semanlink - Entities

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Entities

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Descendants

7 Documents (Liste longue)

[2205.04260] EASE: Entity-Aware Contrastive Learning of Sentence Embedding

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2022-05-11 A propos

EASE: Entity-Aware Contrastive Learning of Sentence Embedding | Papers With Code

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2022-04-08 A propos

[2110.06176] Mention Memory: incorporating textual knowledge into Transformers through entity mention attention

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2021-10-13 A propos

BabelNet | Le plus grand dictionnaire encyclopédique et réseau sémantique

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2021-03-09 A propos

[1909.01259] Neural Attentive Bag-of-Entities Model for Text Classification

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A model that performs **text classification using entities in a knowledge base**.

> Entities provide unambiguous and relevant semantic signals that are beneficial for capturing semantics in texts. We combine **simple high-recall entity detection based on a dictionary** (word->list of entities), to detect entities in a document, with a novel neural **attention mechanism that enables the model to focus on a small number of unambiguous and relevant entities**.

2 steps:

1. Entity detection
2. Classification using the detected entities (+text) as inputs

Regarding entity linking, a local model which uses cosine
similarity between the embedding of the target
entity and the word-based representation of
the document to capture the relevance of an entity
given a document.

Embeddings from the KB: computed using [#Wikipedia2Vec](tag:wikipedia2vec) (similar words and entities
close to one another in a unified vector space)

Model using attention, with 2 features :

- cosine similarity between the
embedding of the entity and the word based
representation of the document
- the probability that the entity
name refers to the entity in KB.

Somewhat [related](doc:2020/01/investigating_entity_knowledge_)

### Conclusion:

>a neural
network model that performs text classification using
entities in Wikipedia. We combined simple
dictionary-based entity detection with a neural attention
mechanism to enable the model to focus
on a small number of unambiguous and relevant
entities in a document.

2020-09-02 A propos

20% Accuracy Bump in Text Classification with ME-ULMFiT

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2019-06-23 A propos

From Words to Concepts and Back: Dictionaries for Linking Text, Entities and Ideas

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2012-05-22 A propos

Propriétés

sl:creationDate : 2012-05-22
sl:creationTime : 2012-05-22T12:06:12Z
rdf:type : sl:Tag
skos:prefLabel : Entities