Communications of the ACM - Special issue on parallelism
Instance-Based Learning Algorithms
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Class-based n-gram models of natural language
Computational Linguistics
Natural language parsing as statistical pattern recognition
Natural language parsing as statistical pattern recognition
Domain-specific knowledge acquisition for conceptual sentence analysis
Domain-specific knowledge acquisition for conceptual sentence analysis
Artificial Intelligence Review - Special issue on lazy learning
IGTree: Using Trees for Compression and Classification in Lazy LearningAlgorithms
Artificial Intelligence Review - Special issue on lazy learning
Machine Learning
Memory-Based Lexical Acquisition and Processing
Proceedings of the Third International EAMT Workshop on Machine Translation and the Lexicon
Coping with ambiguity and unknown words through probabilistic models
Computational Linguistics - Special issue on using large corpora: II
Distributional part-of-speech tagging
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Similarity-based estimation of word cooccurrence probabilities
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Integrating multiple knowledge sources to disambiguate word sense: an exemplar-based approach
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
An empirical study of smoothing techniques for language modeling
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Handling sparse data by successive abstraction
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
A maximum entropy model for prepositional phrase attachment
HLT '94 Proceedings of the workshop on Human Language Technology
Forgetting Exceptions is Harmful in Language Learning
Machine Learning - Special issue on natural language learning
Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
Lazy Learning Algorithms for Problems with Many Binary Features and Classes
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Converting Morphological Information Using Lexicalized and General Conversion
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Shallow parsing using noisy and non-stationary training material
The Journal of Machine Learning Research
Parameter optimization for machine-learning of word sense disambiguation
Natural Language Engineering
Statistical models for unsupervised prepositional phrase attachment
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A class-based probabilistic approach to structural disambiguation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Learning in natural language: theory and algorithmic approaches
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Memory-based learning for article generation
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
A context sensitive maximum likelihood approach to chunking
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Dutch word sense disambiguation: optimizing the localness of context
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Abductive explanation-based learning improves parsing accuracy and efficiency
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
A robust and extensible exemplar-based model of thematic fit
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
All-word prediction as the ultimate confusable disambiguation
CHSLP '06 Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing
Language models for contextual error detection and correction
CLAGI '09 Proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of Grammatical Inference
A hybrid approach to single and multiple PP attachment using wordnet
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Part of speech tagging for arabic
Natural Language Engineering
| Hi-index | 0.00 |
This paper analyses the relation between the use of similarity in Memory-Based Learning and the notion of backed-off smoothing in statistical language modeling. We show that the two approaches are closely related, and we argue that feature weighting methods in the Memory-Based paradigm can offer the advantage of automatically specifying a suitable domain-specific hierarchy between most specific and most general conditioning information without the need for a large number of parameters. We report two applications of this approach: PP-attachment and POS-tagging. Our method achieves state-of-the-art performance in both domains, and allows the easy integration of diverse information sources, such as rich lexical representations.