Maximum entropy models for natural language ambiguity resolution
Maximum entropy models for natural language ambiguity resolution
Tagging English text with a probabilistic model
Computational Linguistics
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Incremental finite-state parsing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
A memory-based approach to learning shallow natural language patterns
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Lexicalized hidden Markov models for part-of-speech tagging
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Tagging and chunking with bigrams
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Applying system combination to base noun phrase identification
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Text chunking using regularized Winnow
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Chunking with support vector machines
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Introduction to the CoNLL-2000 shared task: chunking
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Learning syntactic structures with XML
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
Chunking with maximum entropy models
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Use of support vector learning for chunk identification
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Shallow parsing as part-of-speech tagging
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Improving chunking by means of lexical-contextual information in statistical language models
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Text chunking by system combination
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Single-classifier memory-based phrase chunking
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Exploring evidence for shallow parsing
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Boosting trees for clause splitting
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Introduction to the CoNLL-2001 shared task: clause identification
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Boosted decision graphs for NLP learning tasks
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Clause identification with long short-term memory
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
A Hidden Markov Model Approach to Word Sense Disambiguation
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Introduction to special issue on machine learning approaches to shallow parsing
The Journal of Machine Learning Research
Improving part-of-speech tagging using lexicalized HMMs
Natural Language Engineering
Sequence modelling for sentence classification in a legal summarisation system
Proceedings of the 2005 ACM symposium on Applied computing
Probabilistic Finite-State Machines-Part II
IEEE Transactions on Pattern Analysis and Machine Intelligence
Chinese named entity recognition using lexicalized HMMs
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
A robust multilingual portable phrase chunking system
Expert Systems with Applications: An International Journal
Efficient text chunking using linear kernel with masked method
Knowledge-Based Systems
Extractive summarisation of legal texts
Artificial Intelligence and Law - AI & law in eGovernment and eDemocracy part I
Chinese word segmentation as morpheme-based lexical chunking
Information Sciences: an International Journal
Robust and efficient multiclass SVM models for phrase pattern recognition
Pattern Recognition
A Probabilistic Graphical Model for Recognizing NP Chunks in Texts
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Keyword query cleaning using hidden Markov models
Proceedings of the First International Workshop on Keyword Search on Structured Data
Component-based discriminative classification for hidden Markov models
Pattern Recognition
Design challenges and misconceptions in named entity recognition
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
An algorithm for semantic chunk identification of Chinese sentence
ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control
Clause boundary identification using conditional random fields
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Unsupervised syntactic chunking with acoustic cues: computational models for prosodic bootstrapping
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
Discovering text patterns by a new graphic model
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Efficient and robust phrase chunking using support vector machines
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
A general and multi-lingual phrase chunking model based on masking method
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Voting between multiple data representations for text chunking
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Evolutionary Shallow Natural Language Parsing
Computational Intelligence
Developing an algorithm for mining semantics in texts
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Exploiting chunk-level features to improve phrase chunking
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Biomedical named entity recognition: a poor knowledge HMM-based approach
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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We present a unified technique to solve different shallow parsing tasks as a tagging problem using a Hidden Markov Model-based approach (HMM). This technique consists of the incorporation of the relevant information for each task into the models. To do this, the training corpus is transformed to take into account this information. In this way, no change is necessary for either the training or tagging process, so it allows for the use of a standard HMM approach. Taking into account this information, we construct a Specialized HMM which gives more complete contextual models. We have tested our system on chunking and clause identification tasks using different specialization criteria. The results obtained are in line with the results reported for most of the relevant state-of-the-art approaches.