This paper describes an overview of RITE-2 (Recognizing Inference in TExt) task in NTCIR-
10. We evaluated systems that automatically recognize semantic relations between …

Matsuyoshi, Suguru, etal. A database of relations between predicate argument structures for
recognizing textual entailment and contra diction.” Universal Communication, 2008. ISUC08 …

The present article addresses an attempt to apply questions in university entrance
examinations to the evaluation of textual entailment recognition. Questions in several fields …

Since the problem of textual entailment recognition requires capturing semantic relations
between diverse expressions of language, linguistic and world knowledge play an important …

Question generating refers to the task of automatically generating questions from various
inputs such as raw text, database, or semantic representation. This paperconcerns with the …

This article proposes a predicate-argument structure based Textual Entailment Recognition
system exploiting wide-coverage lexical knowledge. Different from conventional machine …

The hardest things in developing the question-answer system are to raise a question that
comes from natural language sentences and to find the answers to some questions relevant …

We computed linguistic information at the lexical, syntactic, and semantic levels for
Recognizing Inference in Text (RITE) tasks for both traditional and simplified Chinese in …

Recognizing Textual Entailment (RTE) is a fundamental task in Natural Language
Understanding. The task is to decide whether the meaning of a text can be inferred from the …

In this paper, we describe the WSD team's approaches to textual entailment recognition task
(RITE) at NTCIR-10 [1], a conference held in June 18-21, 2013, at NII in Tokyo, Japan, and …