The 2011 Great East Japan Earthquake caused a wide range of problems, and as countermeasures,
many aid activities were carried out. Many of these problems and aid activities were …

In this paper, we explore the utility of intra-and inter-sentential causal relations between terms
or clauses as evidence for answering why-questions. To the best of our knowledge, this is …

We propose a new semantic orientation, Excitation, and its automatic acquisition method.
Excitation is a semantic property of predicates that classifies them into excitatory, inhibitory and …

In this paper we explore the utility of sentiment analysis and semantic word classes for
improving why-question answering on a large-scale web corpus. Our work is motivated by the …

This paper presents a new method of developing a large-scale hyponymy relation database
by combining Wikipedia and other Web documents. We attach new words to the hyponymy …

Textual entailment recognition plays a fundamental role in tasks that require indepth natural
language understanding. In order to use entailment recognition technologies for real-world …

We propose an automatic method of extracting paraphrases from definition sentences, which
are also automatically acquired from the Web. We observe that a huge number of concepts …

This paper proposes a minimally supervised method for acquiring high-level semantic
relations such as causality and prevention from the Web. Our method learns linguistic patterns …

Existing word similarity measures are not robust to data sparseness since they rely only on
the point estimation of words’ context profiles obtained from a limited amount of data. This …

In this paper we propose a two-stage method to acquire contradiction relations between typed
lexico-syntactic patterns such as Xdrug prevents Ydisease and Ydisease caused by Xdrug…