Part of
Recent Advances in Natural Language Processing III: Selected papers from RANLP 2003Edited by Nicolas Nicolov, Kalina Bontcheva, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory 260] 2004
► pp. 81–90
Edited by Nicolas Nicolov, Kalina Bontcheva, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory 260] 2004
► pp. 81–90
Acquiring lexical paraphrases from a single corpus
Cited by (16)
Cited by 16 other publications
Tang, Zhuo, Qi Xiao, Li Zhu, Kenli Li & Keqin Li
2019. A semantic textual similarity measurement model based on the syntactic-semantic representation. Intelligent Data Analysis 23:4 ► pp. 933 ff. 
Vo, Ngoc Phuoc An & Octavian Popescu
2019. Multi-layer and Co-learning Systems for Semantic Textual Similarity, Semantic Relatedness and Recognizing Textual Entailment. In Knowledge Discovery, Knowledge Engineering and Knowledge Management [Communications in Computer and Information Science, 914], ► pp. 54 ff.
Xie, Zhipeng & Junfeng Hu
2017. Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment. In Database Systems for Advanced Applications [Lecture Notes in Computer Science, 10177], ► pp. 295 ff.
Moon, Sung Won, Gahgene Gweon, Hojin Choi & Jeong Heo
2016. 2016 18th International Conference on Advanced Communication Technology (ICACT), ► pp. 680 ff.
Keshtkar, Fazel & Diana Inkpen
2013. A BOOTSTRAPPING METHOD FOR EXTRACTING PARAPHRASES OF EMOTION EXPRESSIONS FROM TEXTS. Computational Intelligence 29:3 ► pp. 417 ff.
GIRJU, ROXANA & MICHAEL J. PAUL
2011. Modeling reciprocity in social interactions with probabilistic latent space models. Natural Language Engineering 17:1 ► pp. 1 ff.
Hickl, Andrew
2008. Proceedings of the 17th ACM conference on Information and knowledge management, ► pp. 1261 ff.
Nielsen, Rodney D., Wayne Ward & James H. Martin
2008. Soft Computing in Intelligent Tutoring Systems and Educational Assessment. In Soft Computing Applications in Business [Studies in Fuzziness and Soft Computing, 230], ► pp. 201 ff.
Connor, Michael & Dan Roth
2007. Context Sensitive Paraphrasing with a Global Unsupervised Classifier. In Machine Learning: ECML 2007 [Lecture Notes in Computer Science, 4701], ► pp. 104 ff.
Glickman, Oren, Ido Dagan & Moshe Koppel
2006. A Lexical Alignment Model for Probabilistic Textual Entailment. In Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment [Lecture Notes in Computer Science, 3944], ► pp. 287 ff.
Inkpen, Diana Zaiu, Ol’ga Feiguina & Graeme Hirst
2006. Generating More-Positive and More-Negative Text. In Computing Attitude and Affect in Text: Theory and Applications [The Information Retrieval Series, 20], ► pp. 187 ff.
Kozareva, Zornitsa & Andrés Montoyo
2006. Paraphrase Identification on the Basis of Supervised Machine Learning Techniques. In Advances in Natural Language Processing [Lecture Notes in Computer Science, 4139], ► pp. 524 ff.
Pazienza, Maria Teresa, Marco Pennacchiotti & Fabio Massimo Zanzotto
2006. Learning Textual Entailment on a Distance Feature Space. In Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment [Lecture Notes in Computer Science, 3944], ► pp. 240 ff.
Pazienza, Maria Teresa, Marco Pennacchiotti & Fabio Massimo Zanzotto
2006. Discovering Verb Relations in Corpora: Distributional Versus Non-distributional Approaches. In Advances in Applied Artificial Intelligence [Lecture Notes in Computer Science, 4031], ► pp. 1042 ff.
Paşca, Marius
2005. Mining Paraphrases from Self-anchored Web Sentence Fragments. In Knowledge Discovery in Databases: PKDD 2005 [Lecture Notes in Computer Science, 3721], ► pp. 193 ff.
Paşca, Marius & Péter Dienes
2005. Aligning Needles in a Haystack: Paraphrase Acquisition Across the Web. In Natural Language Processing – IJCNLP 2005 [Lecture Notes in Computer Science, 3651], ► pp. 119 ff.
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