Hiroyuki Shindo

Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text

2019

Understanding procedural text requires tracking entities, actions and effects as the narrative unfolds. We focus on the challenging real-world problem of action-graph extraction from materials science papers, where language is highly specialized and data annotation …

Neural Attentive Bag-of-Entities Model for Text Classification

2019 · arXiv (Cornell University)

This study proposes a Neural Attentive Bag-of-Entities model, which is a neural network model that performs text classification using entities in a knowledge base. Entities provide unambiguous and relevant semantic signals that are beneficial for …

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

2020

Entity representations are useful in natural language tasks involving entities. In this paper, we propose new pretrained contextualized representations of words and entities based on the bidirectional transformer The proposed model treats words and entities …

Learning Distributed Representations of Texts and Entities from Knowledge Base

2017 · Transactions of the Association for Computational Linguistics

We describe a neural network model that jointly learns distributed representations of texts and knowledge base (KB) entities. Given a text in the KB, we train our proposed model to predict entities that are relevant …

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

2016

Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity mentions in a document to their correct references in a knowledge base (KB) (e.g., Wikipedia). In this paper, we propose a novel …