The Pataxó baptism rite at Aragwaksã

(Review) The Devil at Baptism: Ritual, Theology, and Drama

ICL Participation at NTCIR-9 RITE

This paper describes ICL’s participation at NTCIR-9 RITE. We chose BC & MC subtask. Textual entailment is a problem to predict whether an entailment holds for a given test-hypothesis pair. We built an inference model to solve this problem by means of using dependency syntax analysis (by LTP), lexical knowledge base (e.g. CCD), web information (e.g. Baidupedia) and probability method. We used AU...

NUL System at NTCIR RITE-VAL Tasks

This paper describes the submitted strategy and the methods of NUL team on NTCIR-11 RITE-VAL[1] fact validation (FV) and system validation (SV) tasks. We started to follow the shallow approach by Tian et al[3]. Then, we improved the named entity recognition accuracy and transformed some variables by the cross validation score of training sets. Especially, in the FV tasks, we used Apache Solr as...

JAIST Participation at NTCIR-10 RITE-2

Textual entailment recognition is a fundamental problem in natural language understanding. The task is to determine whether the meaning of one text can be inferred from the meaning of the other one. At NTCIR-10 RITE-2 this year – our second participation in this challenge, we use the modified version of our RTE system used at NTCIR-9 RITE for four subtasks for Japanese: BC, MC, ExamBC, and Unit...

IASL RITE System at NTCIR-9

We developed a knowledge-based textual inference recognition system for both BC and MC subtasks at NTCIR-9 RITE. Five different modules, which use named entities, subject-modifier word pairs, negative expressions, exclusive tokens and sentence length respectively, were implemented to determine the entailment relation of each sentence pair. Three decision making approaches were applied to integr...