Information Processing and Management: an International Journal - Special issue on history of information science
Discovery of Definition Patterns by Compressing Dictionary Sentences
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Extracting paraphrases from a parallel corpus
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Collecting paraphrase corpora from volunteer contributors
Proceedings of the 3rd international conference on Knowledge capture
Finding new terminology in very large corpora
Proceedings of the 3rd international conference on Knowledge capture
Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A semantic approach to recognizing textual entailment
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Recognising textual entailment with logical inference
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Feature forest models for probabilistic hpsg parsing
Computational Linguistics
Constructing corpora for the development and evaluation of paraphrase systems
Computational Linguistics
Evaluation of query expansion using MeSH in PubMed
Information Retrieval
Exploration of term dependence in sentence retrieval
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Paraphrase recognition via dissimilarity significance classification
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Inferring textual entailment with a probabilistically sound calculus*
Natural Language Engineering
Assessing the impact of frame semantics on textual entailment
Natural Language Engineering
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Recognizing textual entailment using sentence similarity based on dependency tree skeletons
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Semantic inference at the lexical-syntactic level for textual entailment recognition
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Biology based alignments of paraphrases for sentence compression
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Extracting paraphrases of technical terms from noisy parallel software corpora
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Paraphrase recognition using machine learning to combine similarity measures
ACLstudent '09 Proceedings of the ACL-IJCNLP 2009 Student Research Workshop
Paraphrase identification as probabilistic quasi-synchronous recognition
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Efficient kernels for sentence pair classification
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
A compact forest for scalable inference over entailment and paraphrase rules
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Context-theoretic semantics for natural language: an overview
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
Journal of Information Science
Definition extraction using linguistic and structural features
WDE '09 Proceedings of the 1st Workshop on Definition Extraction
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
Directional distributional similarity for lexical inference
Natural Language Engineering
Paraphrase identification on the basis of supervised machine learning techniques
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
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Terminological paraphrases (TPs) are sentences or phrases that express the concepts of terminologies in a different form. Here we propose an effective way to identify and extract TPs from large-scale scientific literature databases. We propose a novel method for effectively retrieving sentences that contain a given terminological concept based on semantic units called predicate-argument tuples. This method enables effective textual similarity computations and minimized errors based on six TP ranking models. For evaluation, we constructed an evaluation collection for the TP recognition task by extracting TPs from a target literature database using the proposed method. Through the two experiments, we learned that scientific literature contain many TPs that could not have been identified so far. Also, the experimental results showed the potential and extensibility of our proposed methods to extract the TPs.