WordNet: a lexical database for English
Communications of the ACM
A linear space algorithm for computing maximal common subsequences
Communications of the ACM
A guided tour to approximate string matching
ACM Computing Surveys (CSUR)
A syntactic approach for searching similarities within sentences
Proceedings of the eleventh international conference on Information and knowledge management
Machine Learning
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Optimization, maxent models, and conditional estimation without magic
NAACL-Tutorials '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Tutorials - Volume 5
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Similarity measures for tracking information flow
Proceedings of the 14th ACM international conference on Information and knowledge management
NLTK: the Natural Language Toolkit
ETMTNLP '02 Proceedings of the ACL-02 Workshop on Effective tools and methodologies for teaching natural language processing and computational linguistics - Volume 1
Sentence Similarity Based on Semantic Nets and Corpus Statistics
IEEE Transactions on Knowledge and Data Engineering
Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Semantic text similarity using corpus-based word similarity and string similarity
ACM Transactions on Knowledge Discovery from Data (TKDD)
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Sentence similarity computation based on feature set
CSCWD '09 Proceedings of the 2009 13th International Conference on Computer Supported Cooperative Work in Design
Corpus-based and knowledge-based measures of text semantic similarity
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Paraphrase recognition via dissimilarity significance classification
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Improving word sense disambiguation in lexical chaining
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Measuring the semantic similarity of texts
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
Paraphrase recognition using machine learning to combine similarity measures
ACLstudent '09 Proceedings of the ACL-IJCNLP 2009 Student Research Workshop
Sentence Similarity Computation Based on POS and Semantic Nets
NCM '09 Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC
Natural Language Processing with Python
Natural Language Processing with Python
Sentence similarity measure based on events and content words
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Text relatedness based on a word thesaurus
Journal of Artificial Intelligence Research
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
SyMSS: A syntax-based measure for short-text semantic similarity
Data & Knowledge Engineering
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Owing to the tremendous increase in the number and the length of the text documents, there is a need to locate the needed information in large set of text documents. Locating desired information finds its application in tasks such as information retrieval, question answering, event extraction, etc. The basic operation required to do the above is finding how similar the sentences are in a particular context. This manuscript explains a feature-based machine learning approach to find the semantic similarity between a pair of short sentences. It includes the features such as string match, part of speech, word sense, length difference, negation and modality, etc. Our approach employs dissimilarity features and similarity features to detect sentence similarity.