Experiments in automatic statistical thesaurus construction
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic thesaurus generation for an electronic community system
Journal of the American Society for Information Science
Automatic thesaurus construction using Bayesian networks
Information Processing and Management: an International Journal - Special issue: history of information science
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficient clustering of high-dimensional data sets with application to reference matching
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
An evaluation of term dependence models in information retrieval
SIGIR '82 Proceedings of the 5th annual ACM conference on Research and development in information retrieval
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Experiments with open-domain textual Question Answering
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
PRINCIPAR: an efficient, broad-coverage, principle-based parser
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Automatic acquisition of domain knowledge for Information Extraction
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovery of inference rules for question-answering
Natural Language Engineering
LaTaT: language and text analysis tools
HLT '01 Proceedings of the first international conference on Human language technology research
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Semantic classification of Chinese unknown words
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
Fine-grained proper noun ontologies for question answering
SEMANET '02 Proceedings of the 2002 workshop on Building and using semantic networks - Volume 11
Clustering Syntactic Positions with Similar Semantic Requirements
Computational Linguistics
Generating semantic annotations for frequent patterns with context analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Inducing frame semantic verb classes from WordNet and LDOCE
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Semantic annotation of frequent patterns
ACM Transactions on Knowledge Discovery from Data (TKDD)
Formal Grammar for Hispanic Named Entities Analysis
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
CACLA '09 Proceedings of the EACL 2009 Workshop on Cognitive Aspects of Computational Language Acquisition
Clique-based clustering for improving named entity recognition systems
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Building a semantic lexicon of English nouns via bootstrapping
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
SW-AG: local context matching for English lexical substitution
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
The role of sentence structure in recognizing textual entailment
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
A framework for entailed relation recognition
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Data cleaning for word alignment
ACLstudent '09 Proceedings of the ACL-IJCNLP 2009 Student Research Workshop
Employing topic models for pattern-based semantic class discovery
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
Inducing classes of terms from text
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Automatic word clustering in Russian texts
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Long distance bigram models applied to word clustering
Pattern Recognition
Corpus-based semantic class mining: distributional vs. pattern-based approaches
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Journal of Artificial Intelligence Research
Ontology population and enrichment: state of the art
Knowledge-driven multimedia information extraction and ontology evolution
MFC: a method of co-referent relation acquisition from large-scale chinese corpora
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Unsupervised learning of selectional restrictions and detection of argument coercions
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Unsupervised named-entity recognition: generating gazetteers and resolving ambiguity
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Character-based kernels for novelistic plot structure
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Hi-index | 0.00 |
Many applications dealing with textual information require classification of words into semantic classes (or concepts). However, manually constructing semantic classes is a tedious task. In this paper, we present an algorithm, UNICON, for UNsupervised Induction of CONcepts. Some advantages of UNICON over previous approaches include the ability to classify words with low frequency counts, the ability to cluster a large number of elements in a high-dimensional space, and the ability to classify previously unknown words into existing clusters. Furthermore, since the algorithm is unsupervised, a set of concepts may be constructed for any corpus.