research
∙
05/09/2022
EASE: Entity-Aware Contrastive Learning of Sentence Embedding
We present EASE, a novel method for learning sentence embeddings via con...
share
research
∙
10/15/2021
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
Recent studies have shown that multilingual pretrained language models c...
research
∙
10/15/2021
A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification
We present a multilingual bag-of-entities model that effectively boosts ...
research
∙
06/02/2021
Efficient Passage Retrieval with Hashing for Open-domain Question Answering
Most state-of-the-art open-domain question answering systems use a neura...
research
∙
01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
research
∙
10/02/2020
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Entity representations are useful in natural language tasks involving en...
research
∙
09/03/2019
Neural Attentive Bag-of-Entities Model for Text Classification
This study proposes a Neural Attentive Bag-of-Entities model, which is a...
research
∙
09/01/2019
Pre-training of Deep Contextualized Embeddings of Words and Entities for Named Entity Disambiguation
Deep contextualized embeddings trained using unsupervised language model...
research
∙
12/15/2018
Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia
We present Wikipedia2Vec, an open source tool for learning embeddings of...
research
∙
12/15/2018
Wikipedia2Vec: An Optimized Implementation for Learning Embeddings from Wikipedia
We present Wikipedia2Vec, an open source tool for learning embeddings of...
research
∙
06/08/2018
Representation Learning of Entities and Documents from Knowledge Base Descriptions
In this paper, we describe TextEnt, a neural network model that learns d...
research
∙
03/23/2018
Studio Ousia's Quiz Bowl Question Answering System
In this chapter, we describe our question answering system, which was th...
research
∙
06/28/2017
Named Entity Disambiguation for Noisy Text
We address the task of Named Entity Disambiguation (NED) for noisy text....
research
∙
05/06/2017
Learning Distributed Representations of Texts and Entities from Knowledge Base
We describe a neural network model that jointly learns distributed repre...
research
∙
03/15/2017
Ensemble of Neural Classifiers for Scoring Knowledge Base Triples
This paper describes our approach for the triple scoring task at the WSD...
research
∙
01/06/2016
