We have constructed Arukikata Travelogue Dataset and released it free of...
Entity representations are useful in natural language tasks involving
en...
We propose a new length-controllable abstractive summarization model. Re...
This study proposes a Neural Attentive Bag-of-Entities model, which is a...
Deep contextualized embeddings trained using unsupervised language model...
Molecule property prediction is a fundamental problem for computer-aided...
Biomedical Named Entity Recognition (BioNER) is a crucial step for analy...
We present Wikipedia2Vec, an open source tool for learning embeddings of...
We present Wikipedia2Vec, an open source tool for learning embeddings of...
Understanding procedural text requires tracking entities, actions and ef...
We present a simple and accurate span-based model for semantic role labe...
In this paper, we describe TextEnt, a neural network model that learns
d...
Following great success in the image processing field, the idea of
adver...
In this chapter, we describe our question answering system, which was th...
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...