47 citations · 102 across the 10 of their papers we have counts for
10 papers
An Experiment of Randomized Hints on an Axiom of Infinite-Valued Lukasiewicz Logic
Ruo Ando, Yoshiyasu Takefuji
In this paper, we present an experiment of our randomized hints strategy of automated reasoning for yielding Axiom(5) from Axiom(1)(2)(3)(4) of Infinite-Valued Lukasiewicz Logic. I…
An experiment of the complexity of sliding block puzzles by 2D heat flow in paramodulation
Ruo Ando, Yoshiyasu Takefuji
In this paper, we present a curious experiment with the hot list strategy in solving sliding block puzzles by paramodulation. The hot list strategy is one of the look-ahead strateg…
A new perspective of paramodulation complexity by solving massive 8 puzzles
Ruo Ando, Yoshiyasu Takefuji
A sliding puzzle is a combination puzzle where a player slide pieces along certain routes on a board to reach a certain end-configuration. In this paper, we propose a novel measure…
A Curious New Result of Resolution Strategies in Negation-Limited Inverters Problem
Ruo Ando, Yoshiyasu Takefuji
Generally, negation-limited inverters problem is known as a puzzle of constructing an inverter with AND gates and OR gates and a few inverters. In this paper, we introduce a curiou…
A constrained recursion algorithm for batch normalization of tree-sturctured LSTM
Ruo Ando, Yoshiyasu Takefuji
Tree-structured LSTM is promising way to consider long-distance interaction over hierarchies. However, there have been few research efforts on the hyperparameter tuning of the cons…
Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia
Ikuya Yamada, Akari Asai, Jin Sakuma +4
The embeddings of entities in a large knowledge base (e.g., Wikipedia) are highly beneficial for solving various natural language tasks that involve real world knowledge. In this p…
Representation Learning of Entities and Documents from Knowledge Base Descriptions
Ikuya Yamada, Hiroyuki Shindo, Yoshiyasu Takefuji
In this paper, we describe TextEnt, a neural network model that learns distributed representations of entities and documents directly from a knowledge base (KB). Given a document i…
Studio Ousia's Quiz Bowl Question Answering System
Ikuya Yamada, Ryuji Tamaki, Hiroyuki Shindo +1
In this chapter, we describe our question answering system, which was the winning system at the Human-Computer Question Answering (HCQA) Competition at the Thirty-first Annual Conf…
Learning Distributed Representations of Texts and Entities from Knowledge Base
Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda +1
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…
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda +1
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…