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...

Computer-Supported Collaborative Learning (CSCL) technologies play an increasing role simultaneously with the appearance of the Social Web. The polyphonic analysis method based on Bakhtin’s dialogical model reflects the multi-voiced nature of a CSCL conversation and the related learning processes. We propose the extension of the model and the previous applications of the polyphonic method to bo...

1 Center for Research in Information and Automation Technologies Abstract Most available information today, both from printed books and digital repositories, is in the form of freeformat texts. The task of retrieving information from these ever-growing repositories has become a challenge for information retrieval (IR) researchers. In some fields, such as Botany and Taxonomy, textual description...

EXCITEMENT is a novel, open software platform for Textual Entailment (TE) which uses the UIMA framework. This paper discusses the design considerations regarding the roles of UIMA within EXCITEMENT Open Platform (EOP). We focus on two points: a) how to best design the representation of entailment problems within UIMA CAS and its type system. b) the integration and usage of UIMA components among...

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Introduction Space and Metaphor Space and Textual Structure Space and Ideational Realities Ideational Space as Discursive Ideational Space as Liminal Cyberspace, a Realignment Footnotes References About the Authors

Recent research suggests that sentence structure can improve the accuracy of recognizing textual entailments and paraphrasing. Although background knowledge such as gazetteers, WordNet and custom built knowledge bases are also likely to improve performance, our goal in this paper is to characterize the syntactic features alone that aid in accurate entailment prediction. We describe candidate fe...