May 2, 2022 · This paper investigates the following question: Do BERT-based entity retrieval models benefit from additional entity information stored in knowledge graphs?

Jul 7, 2022 · This paper investigates the following question: Do BERT-based entity retrieval models benefit from additional entity information stored in knowledge graphs?

May 2, 2022 · We show that the entity-enriched BERT model improves effectiveness on entity-oriented queries over a regular. BERT model, establishing a new ...

May 2, 2022 · Pre-trained language models such as BERT have been a key ingredient to achieve state-of-the-art results on a variety of tasks in natural ...

Entity linking (EL), also known as entity disambiguation, plays a fundamental but imperative role to connect a wide and diverse variety of web content to ...

Entity-aware Transformers for Entity Search ; Fulltext: 253534.pdf ; Size: 1.395Mb ; Format: PDF ; Description: Publisher's version.

EMBERT. Model architecture. About this repository. Github page with supplementary information to the paper `Entity-aware Transformers for Entity Search' by ...

In this paper, we propose entity-aware and motion- aware Transformers that progressively localizes ac- tions in videos by first coarsely locating clips with ...

This paper introduces a conceptually simple, scalable, and highly effective BERT-based entity linking model, along with an extensive evaluation of its accuracy ...

In this paper, we propose new pretrained contextualized representations of words and entities based on the bidirectional transformer.