Predicate-argument Structure based Textual Entailment Recognition System of KYOTO Team for NTCIR9 RITE
نویسندگان
چکیده
We participated in Japanese tasks of RITE in NTCIR9 (team id: “KYOTO”). Our proposed method regards predicateargument structure as a basic unit of handling the meaning of text/hypothesis, and performs the matching between text and hypothesis. Our system first performs predicateargument structure analysis to both a text and a hypothesis. Then, we perform the matching between text and hypothesis. In matching text and hypothesis, wide-coverage relations between words/phrases such as synonym and is-a are utilized, which are automatically acquired from a dictionary, Web corpus and Wikipedia.
منابع مشابه
Predicate-argument Structure based Textual Entailment Recognition System of KYOTO Team for NTCIR-10 RITE-2
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...
متن کاملA Machine Learning based Textual Entailment Recognition System of JAIST Team for NTCIR9 RITE
NTCIR9-RITE is the first shared-task of recognizing textual inference in texts written in Japanese, Simplified Chinese, or Traditional Chinese. JAIST team participates in three subtasks for Japanese: Binary-class, Entrance exam and RITE4QA. We adopt a machine learning approach for these subtasks, combining various kinds of entailment features by using machine learning techniques. In our system,...
متن کاملTU Group at NTCIR9-RITE: Leveraging Diverse Lexical Resources for Recognizing Textual Entailment
This paper describes the TU system that participated in the Entrance Exam Subtask of NTCIR-9 RITE. The system consists of two phases: alignment and entailment relation recognition. In the alignment phase, the system aligns words in the two sentences by exploiting diverse lexical resources such as entailment information, hypernym-hyponym relations and synonyms. Based on the alignments and relati...
متن کاملFudanNLP at RITE 2011: a Shallow Semantic Approach to Textual Entailment
RITE is a task recognizing logic relations between texts. This paper presents FDCS’s approach on NTCIR9-RITE Chinese simplified BC & MC subtasks. Our system is built on a machine learning architecture with features selected on shallow semantic methods, including named entity recognition, date & time expression extraction, words overlap and negation concept recognition. FudanNLP is wildly used b...
متن کاملNTTCS Textual Entailment Recognition System for NTCIR-9 RITE
This paper describes initial Japanese Textual Entailment Recognition (RTE) systems that participated Japanese Binaryclass (BC) and Multi-class (MC) subtasks of NTCIR-9 RITE. Our approaches are based on supervised learning techniques: Decision Tree (DT) and Support Vector Machine (SVM) learners. The employed features for the learners include text fragment based features such as lexical, syntacti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011