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Overview of the Recognizing Inference in Text (RITE-2) at NTCIR-10
2013
NTCIR Conference on Evaluation of Information Access Technologies
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This paper describes an overview of RITE-2 (Recognizing Inference in TExt) task in NTCIR-10. ...
The tasks in RITE-2 are Binary Classification of entailment (BC Subtask), Multi-Class Classification including paraphrase and contradiction (MC Subtask), Entrance Exam Subtasks (Exam BC and Exam Search ...
RITE (Recognizing Inference in Text), the first task of evaluating systems which recognize semantic relations between sentences for Japanese and Chinese, was organized in NTCIR-9. ...
dblp:conf/ntcir/WatanabeMMSK0LS13
fatcat:w3lp4fwvebfkbocyoqd3b4ufdm
KTU System for NTCIR-11 RITE-VAL Task
2014
NTCIR Conference on Evaluation of Information Access Technologies
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This paper describes KTU system for NTCIR-11 RITE-VAL Japanese Tasks. ...
The proposed method regards predicateargument structure as a basic unit of handling the meaning of text/hypothesis, and performs the matching between text and hypothesis. ...
EXPERIMENTS We participated in Japanese Fact Validation (FV) and Proceedings of the 11th NTCIR Conference, December 9-12, 2014, Tokyo, Japan System Validation (SV) subtasks of RITE-VAL in NTCIR-11 [8 ...
dblp:conf/ntcir/Shibata14
fatcat:tbrxuhud6bd5ligqjffzrwl6d4
ZSWSL Text Entailment Recognizing System at NTCIR-9 RITE Task
2011
NTCIR Conference on Evaluation of Information Access Technologies
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This paper describes our system on simplified Chinese textual entailment recognizing RITE task at NTCIR-9. Both lexical and semantic features are extracted using NLP methods. ...
Evaluation at NTCIR-9 RITE shows 72% accuracy on BC subtask and 61.9% accuracy on MC subtask. ...
As one of the fundamental problems in those NLP applications RTE has attracted increasing attention in recent years. In this paper, we discuss the use of our system in the NTCIR-9 RITE task [2] . ...
dblp:conf/ntcir/SuSWLZ11
fatcat:xawf3yf7q5dsjaksi45uphalqa
Exploring lexical, syntactic, and semantic features for Chinese textual entailment in NTCIR RITE evaluation tasks
2015
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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2015 pre-print arXiv:1504.02150v1 fatcat:r33l23ctwzc7nlrjfqnv5zwwla
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 NTCIR-9 and NTCIR-10. ...
We conducted more experiments with the test data of NTCIR-9 RITE, with good results. ...
Acknowledgments This research was supported in part by the student travel fund of the Department of Computer ...
doi:10.1007/s00500-015-1629-1
fatcat:2jhermxnmzedtd5wyll7notjm4
Experiments for NTCIR-11 RITE-VAL Task at Shibaura Institute of Technology
2014
NTCIR Conference on Evaluation of Information Access Technologies
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This paper reports the evaluation results of our textual entailment system at NTCIR-11 RITE-VAL task. We participated in the Japanese System Validation (SV) and Fact Validation (FV) subtasks. ...
In our system, the meaning of a text is represented as a set of dependency triples consisting of two words and their relation. ...
each bunsetsu segment Proceedings of the 11th NTCIR Conference, December 9-12, 2014, Tokyo, Japan in t1 and t2. ...
dblp:conf/ntcir/SugimotoMM14
fatcat:oiccfqdwsnhspnphbd7u7z2i6a
UIOWA at NTCIR-9 RITE: Using the Power of the Crowd to Establish Inference Rules
2011
NTCIR Conference on Evaluation of Information Access Technologies
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We participated in the Binary Classification (BC), Multiple Classification (MC), and Question and Answer (RITE4QA) subtasks for both Simplified Chinese and Traditional Chinese in NTCIR-9 RITE. ...
In this paper, we describe our procedure to establish inference rules using crowdsourcing, refine and weigh them, and apply these rules to a test collection. ...
INTRODUCTION This was UIOWA's first year to participate in the RITE (Recognizing Inference in Text). ...
dblp:conf/ntcir/Harris11a
fatcat:5x4gfyarwvdtpaoc2vbhrrqsdi
THK's Natural Logic-based Compositional Textual Entailment Model at NTCIR-10 RITE-2
2013
NTCIR Conference on Evaluation of Information Access Technologies
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This paper describes the THK system that participated in the BC subtask, MC subtask, ExamBC subtask and UnitTest in NTCIR-10 RITE-2. ...
Our system learns plausible transformations of pairs of Text t1 and Hypothesis t2 only from semantic labels of the pairs using a discriminative probabilistic model combined with the framework of Natural ...
INTRODUCTION In this paper, we describe the THK system, a Japanese textual entailment recognition system, that participated in the NTCIR-10 RITE-2 (Recognizing Inference in TExt) [9] . ...
dblp:conf/ntcir/WatanabeMI13
fatcat:72ztes7l5jfjzc2qugkgsrxyte
Overview of NTCIR-10
2013
NTCIR Conference on Evaluation of Information Access Technologies
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This is an overview of NTCIR-10, the tenth sesquiannual workshop for the evaluation of Information Access technologies. ...
We conclude the paper by discussing the future directions of NTCIR. Readers should refer to individual task overview papers for their activities and findings. ...
Finally, we would like to thank the current and past members of the NTCIR office for their continuous and careful support of our activity. ...
dblp:conf/ntcir/JohoS13
fatcat:2xmg74l7pfg5jmwss7uvzlxvxu
Yamraj: Binary-class and Multi-class Based Textual Entailment System for Japanese (JA) and Chinese Simplified (CS)
2014
NTCIR Conference on Evaluation of Information Access Technologies
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The article presents the experiments carried out as part of the participation in Recognizing Inference in TExt and Validation (RITE-VAL) 1 at NTCIR-11 for Japanese. RITE-VAL has two subtasks i.e. ...
Fact Validation and System Validation subtask for Chinese-Simplified (CS), Chinese-Traditional (CT), English (EN), and Japanese (JA) and semantic relation between two texts such as entailment, contradiction ...
Proceedings of the 11th NTCIR Conference, December 9-12, 2014, Tokyo, Japan ...
dblp:conf/ntcir/Pakray14
fatcat:qzz5ihsxcfgypmmzguosyhakzi
Construction of a Simple Inference System of Textural Similarity (oka1 RITE2)
2013
NTCIR Conference on Evaluation of Information Access Technologies
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The motivation to join the RITE-2 task is to understand what kinds of linguistic and common knowledge are needed to recognize textual similarity in RITE-2 data. ...
After a shallow manual analysis of RITE-2-bc example data, we found that morpheme similarity would be a major factor to recognize textual similarity. ...
The thresholds are manually decided using not only RITE-2-bc and RITE-2-mc sample data but also RITE1-bc and RITE-mc data in NTCIR-9. ...
dblp:conf/ntcir/MoritaT13
fatcat:e4xqkyhvofejtc5ls7rdtdpfwi
TKDDI group at NTCIR10-RITE2: Recognizing Texual Entailment Based on Dependency Structure Alignment
2013
NTCIR Conference on Evaluation of Information Access Technologies
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Entailment can then be recognized by the overlap of the dependency structures. Our system achieved a macro f1 of 63.83 on JA-BC, 49.08 on JA-ExamBC and 74.00 on JA-UnitTest. ...
This paper discribes the TKDDI system which participated in NTCIR10-RITE2. ...
In addition, most of the teams in NTCIR-9 RITE also integrated a word alignment feature. ...
dblp:conf/ntcir/MizunoISHO13
fatcat:2kf64liimjh6fm2wnfilnslkra
Predicate-Argument Structure-Based Textual Entailment Recognition System Exploiting Wide-Coverage Lexical Knowledge
2012
ACM Transactions on Asian Language Information Processing
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We participated in Japanese tasks of RITE-2 in NTCIR-10 (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. ...
EXPERIMENTS We participated in Japanese BC, MC, EXAM, and Search-Task subtasks of RITE-2 in NTCIR-10 [12]. ...
doi:10.1145/2382593.2382598
fatcat:do3uxr2r4rgrfnwefwrhdrprlu
Overview of the NTCIR-11 QA-Lab Task
2014
NTCIR Conference on Evaluation of Information Access Technologies
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This paper describes an overview of the first QA Lab (Question Answering Lab for Entrance Exam) task at NTCIR 11. ...
In this task, "world history" questions are selected from The National Center Test for University Admissions and from the secondary exams at 5 universities in Japan. ...
the 11th NTCIR Conference, December 9-12, 2014, Tokyo, Japan Proceedings of the 11th NTCIR Conference, December 9-12, 2014, Tokyo, Japan Proceedings of the 11th NTCIR Conference, December 9-12, 2014, ...
dblp:conf/ntcir/ShibukiSKMIIWMK14
fatcat:swb3rqz3njgjlkjjsofwgj22iq
Mining Numbers in Text: A Survey
[chapter]
2021
Information Systems - Intelligent Information Processing Systems [Working Title]
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In this survey, we provide a quick overview of the history and recent advances of the research of mining such relations between numerals and words found in text data. ...
However, relatively little attention has been paid in numerals found in texts and many systems treated the numbers found in the document in ad-hoc ways, such as regarded them as mere strings in the same ...
[22] for textual entailment recognition task (RITE) in NTCIR-9 consider temporal expression matching such as "the first half of Nth century" to the appropriate interval. ...
doi:10.5772/intechopen.98540
fatcat:mhzwc2ykcvcglfsh3ltxzvzq5q
Myscéal 2.0: A Revised Experimental Interactive Lifelog Retrieval System for LSC'21
2021
Proceedings of the 4th Annual on Lifelog Search Challenge
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In interactive experimentation, our system achieved an F1@10 score of 0.48 in the official submission but can be significantly improved by implementing a number of post-processing steps. ...
The development of technology has led to an increase in mobile devices' use to keep track of individual daily activities, as known as Lifelogging. ...
text. ...
doi:10.1145/3463948.3469064
fatcat:irbzu3ydd5fo3pz5lmfzmbruai