We present EASE, a novel method for learning sentence embeddings via
con...
Recent studies have shown that multilingual pretrained language models c...
We present a multilingual bag-of-entities model that effectively boosts ...
Most state-of-the-art open-domain question answering systems use a neura...
We review the EfficientQA competition from NeurIPS 2020. The competition...
Entity representations are useful in natural language tasks involving
en...
This study proposes a Neural Attentive Bag-of-Entities model, which is a...
Deep contextualized embeddings trained using unsupervised language model...
We present Wikipedia2Vec, an open source tool for learning embeddings of...
We present Wikipedia2Vec, an open source tool for learning embeddings of...
In this paper, we describe TextEnt, a neural network model that learns
d...
In this chapter, we describe our question answering system, which was th...
We address the task of Named Entity Disambiguation (NED) for noisy text....
We describe a neural network model that jointly learns distributed
repre...
This paper describes our approach for the triple scoring task at the WSD...
Named Entity Disambiguation (NED) refers to the task of resolving multip...