This paper proposes a methodology for the creation of specialized data sets for Textual Entailment, made of monothematic Text-Hypothesis pairs (i.e. pairs in which only one linguistic phenomenon relevant to the entailment relation is highlighted and isolated). The annotation procedure assumes that humans have knowledge about the linguistic phenomena relevant to inference, and a classification o...

We participated in Japanese tasks of RITE-2 in NTCIR10 (team id: “KYOTO”). Our proposed method regards predicate-argument structure as a basic unit of handling the meaning of text/hypothesis, and performs the matching between text and hypothesis. Our system first performs predicate-argument structure analysis to both a text and a hypothesis. Then, we perform the matching between text and hypoth...

The aim of the current work is to see how well existing techniques for textual entailment work when applied to Arabic, and to propose extensions which deal with the specific problems posed by the language. Arabic has a number of characteristics, described below, which make it particularly challenging to determine the relations between sentences. In particular, the lack of diacritics means that ...

Manning [1] presents an extended critique of a paper by Zaenen, Karttunen and Crouch [2] (henceforth ZKC), which was a commentary on the PASCAL Recognizing Textual Entailment (RTE) challenge [3]. The ZKC paper was entitled “Local textual inference: can it be defined or circumscribed?” and argued that the PASCAL data should have been better defined and circumscribed so as to distinguish between ...

In this paper, we present a system for automatically answering opendomain, multiple choice reading comprehension questions about short English narrative texts. The system is based on state-of-the-art text similarity measures, textual entailment metrics and coreference resolution and does not make use of any additional domain specific background knowledge. Each answer option is scored with a com...

This paper reports the Recognizing Textual Entailment (RTE) system that our ‘IKOMA team’ developed at TAC 2010. We implemented a new method that identifies entailment sentences using local-novelty detection. This method determines whether a Hypothesis (H) is local-novel. ‘H is local-novel’ means that H is the new information first appeared in TH , and TH denotes the text (T) that entails H. If ...

The Answer Validation Exercise at the Cross Language Evaluation Forum is aimed at developing systems able to decide whether the answer of a Question Answering system is correct or not. We present here the exercise description, the changes in the evaluation methodology with respect to the first edition, and the results of this second edition (AVE 2007). The changes in the evaluation methodology ...

This paper reports on the performance of a new system for recognizing textual entailment. We present a brief overview of the CERES system and summarize its semantic alignment method for determining entailment. Then, we describe the experiments that were performed, both official and subsequently, against the RTE4 test dataset. We also report on comparison runs against the previous RTE3 developme...

this study was motivated by three factors, which also contribute to its significance for today’s academic writing. first, research articles are the significant means of communication between the writers all over the world. second, persuasion and organization are crucial notions in academic writing where the authors have to consider the academic audiences and their needs.  third, some writers ar...