Contextual correlates of synonymy
Communications of the ACM
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
IEEE Intelligent Systems
Sentence Similarity Based on Semantic Nets and Corpus Statistics
IEEE Transactions on Knowledge and Data Engineering
Measuring semantic similarity between words using web search engines
Proceedings of the 16th international conference on World Wide Web
Measures of semantic similarity and relatedness in the biomedical domain
Journal of Biomedical Informatics
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Unsupervised Graph-basedWord Sense Disambiguation Using Measures of Word Semantic Similarity
ICSC '07 Proceedings of the International Conference on Semantic Computing
SemreX: Efficient search in a semantic overlay for literature retrieval
Future Generation Computer Systems
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Hybrid model for semantic similarity measurement
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
XML-SIM: Structure and Content Semantic Similarity Detection Using Keys
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
ERGOT: A Semantic-Based System for Service Discovery in Distributed Infrastructures
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Privacy policies for shared content in social network sites
The VLDB Journal — The International Journal on Very Large Data Bases
XML-SIM-CHANGE: structure and content semantic similarity detection among XML document versions
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
A semantic oriented approach to textual entailment using wordnet-based measures
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Effect of semantic differences in WordNet-based similarity measures
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Ontology learning for cost-effective large-scale semantic annotation of web service interfaces
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Taxonomy induction based on a collaboratively built knowledge repository
Artificial Intelligence
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
A DHT-based semantic overlay network for service discovery
Future Generation Computer Systems
Ontology-based semantic similarity: A new feature-based approach
Expert Systems with Applications: An International Journal
Introducing diversity to log-based query suggestions to deal with underspecified user queries
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
Wikipedia-Based document categorization
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
A hybrid knowledge-based and data-driven approach to identifying semantically similar concepts
Journal of Biomedical Informatics
Journal of Biomedical Informatics
SAGAN: an approach to semantic textual similarity based on textual entailment
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
SAGAN: a machine translation approach for cross-lingual textual entailment
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Semantic textual similarity for MT evaluation
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Combining language sources and robust semantic relatedness for attribute-based knowledge transfer
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Ontology acquisition from web service descriptions
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Towards the estimation of feature-based semantic similarity using multiple ontologies
Knowledge-Based Systems
Hi-index | 0.00 |
In many research fields such as Psychology, Linguistics, Cognitive Science, Biomedicine, and Artificial Intelligence, computing semantic similarity between words is an important issue. In this paper we present a new semantic similarity metric that exploits some notions of the early work done using a feature based theory of similarity, and translates it into the information theoretic domain which leverages the notion of Information Content (IC). In particular, the proposed metric exploits the notion of intrinsic IC which quantifies IC values by scrutinizing how concepts are arranged in an ontological structure. In order to evaluate this metric, we conducted an on line experiment asking the community of researchers to rank a list of 65 word pairs. The experiment's web setup allowed to collect 101 similarity ratings, and to differentiate native and non-native English speakers. Such a large and diverse dataset enables to confidently evaluate similarity metrics by correlating them with human assessments. Experimental evaluations using WordNet indicate that our metric, coupled with the notion of intrinsic IC, yields results above the state of the art. Moreover, the intrinsic IC formulation also improves the accuracy of other IC based metrics. We implemented our metric and several others in the Java WordNet Similarity Library.