Context and structure in automated full-text information access
Context and structure in automated full-text information access
Statistical methods for speech recognition
Statistical methods for speech recognition
Dynamic nonlocal language modeling via hierarchical topic-based adaptation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
PERSIVAL, a system for personalized search and summarization over multimedia healthcare information
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Unknown word extraction for Chinese documents
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Parametric models of linguistic count data
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Extracting significant words from corpora for ontology extraction
Proceedings of the 3rd international conference on Knowledge capture
Empirical term weighting and expansion frequency
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
A bottom-up merging algorithm for Chinese unknown word extraction
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Parallelism in coordination as an instance of syntactic priming: evidence from corpus-based modeling
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Computational model of role reversal imitation through continuous human-robot interaction
Proceedings of the 2007 workshop on Multimodal interfaces in semantic interaction
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Relevance feedback models for recommendation
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Relative rank statistics for dialog analysis
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Computational linkuistics: word triggers across hyperlinks
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Language modeling for determiner selection
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Exploiting long distance collocational relations in predictive typing
TextEntry '03 Proceedings of the 2003 EACL Workshop on Language Modeling for Text Entry Methods
A Bayesian mixture model for term re-occurrence and burstiness
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
The same-head heuristic for coreference
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Utilizing extra-sentential context for parsing
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Retrieval constraints and word frequency distributions a log-logistic model for IR
Information Retrieval
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
Identifying collocations to measure compositionality: shared task system description
DiSCo '11 Proceedings of the Workshop on Distributional Semantics and Compositionality
Space efficiencies in discourse modeling via conditional random sampling
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Modeling lexical cohesion for document-level machine translation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Repetition is very common. Adaptive language models, which allow probabilities to change or adapt after seeing just a few words of a text, were introduced in speech recognition to account for text cohesion. Suppose a document mentions Noriega once. What is the chance that he will be mentioned again? If the first instance has probability p, then under standard (bag-of-words) independence assumptions, two instances ought to have probability p2, but we find the probability is actually closer to p/2. The first mention of a word obviously depends on frequency, but surprisingly, the second does not. Adaptation depends more on lexical content than frequency; there is more adaptation for content words (proper nouns, technical terminology and good keywords for information retrieval), and less adaptation for function words, cliches and ordinary first names.