MACHINE LEARNING APPROACH: Related Papers in ACL Anthology
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Concordance view (Keyword-In-Context) for the term machine learning approach in the ACL ARC 2.0;
- Concordance view in the ACL ARC 1.0 (Sketch Engine Service).
MACHINE LEARNING APPROACH can be found in the following ACL ARC 1.0 documents (click to explore):
- (ACL ID: A00-1041) answer extraction
- (ACL ID: A00-2016) rapid parser development
- (ACL ID: C02-1040) learning verb argument structure from minimally annotated corpora
- (ACL ID: C02-1150) learning question classifiers
- (ACL ID: C04-1007) combining hierarchical clustering and machine learning to predict high-level discourse structure
- (ACL ID: C04-1018) playing the telephone game
- (ACL ID: C04-1034) resolving individual and abstract anaphora in texts and dialogues
- (ACL ID: C04-1035) classifying ellipsis in dialogue
- (ACL ID: C04-1101) combining linguistic features with weighted bayesian classifier for temporal reference processing
- (ACL ID: C04-1128) detection of question-answer pairs in email conversations
- (ACL ID: C90-2074) morphological analysis and synthesis by automated discovery and acquisition of linguistic rules
- (ACL ID: E06-1007) automatic detection of nonreferential it in spoken multi-party dialog
- (ACL ID: E06-1049) a machine learning approach to extract temporal information from texts in swedish and generate animated 3d scenes
- (ACL ID: E06-2021) automatic acronym recognition
- (ACL ID: E06-2028) bayesian network, a model for nlp?
- (ACL ID: E06-3004) bootstrapping named entity recognition with automatically generated gazetteer lists
- (ACL ID: H05-1040) enhanced answer type inference from questions using sequential models
- (ACL ID: H05-1046) disambiguating toponyms in news
- (ACL ID: H05-1063) mining context specific similarity relationships using the world wide web
- (ACL ID: H05-2010) webexperimenter for multiple-choice question generation
- (ACL ID: I05-2027) machine learning approach to augmenting news headline generation
- (ACL ID: I05-3004) chinese classifier assignment using svms
- (ACL ID: J01-1002) integrating prosodic and lexical cues for automatic topic segmentation
- (ACL ID: J01-1003) bootstrapping morphological analyzers by combining human elicitation and machine learning
- (ACL ID: J01-4004) a machine learning approach to coreference resolution of noun phrases
- (ACL ID: J02-4002) articles summarizing scientific articles
- (ACL ID: N04-1023) discriminative reranking for machine translation
- (ACL ID: N04-1030) shallow semantic parsing using support vector machines
- (ACL ID: N04-1037) the (non)utility of predicate-argument frequencies for pronoun interpretation
- (ACL ID: N06-1042) learning morphological disambiguation rules for turkish
- (ACL ID: P00-1038) query-relevant summarization using faqs
- (ACL ID: P03-1005) hierarchical directed acyclic graph kernel
- (ACL ID: P03-1022) a machine learning approach to pronoun resolution in spoken dialogue
- (ACL ID: P03-1023) coreference resolution using competition learning approach
- (ACL ID: P03-1028) closing the gap
- (ACL ID: P03-1071) discourse segmentation of multi-party conversation
- (ACL ID: P03-2031) automatic acquisition of named entity tagged corpus from world wide web
- (ACL ID: P04-1020) learning noun phrase anaphoricity to improve conference resolution
- (ACL ID: P04-1021) a joint source-channel model for machine transliteration
- (ACL ID: P04-2010) a machine learning approach to german pronoun resolution
- (ACL ID: P04-3006) an automatic filter for non-parallel texts
- (ACL ID: P05-1020) machine learning for coreference resolution
- (ACL ID: P05-1031) towards finding and fixing fragments—using ml to identify non-sentential utterances and their antecedents in multi-party dialogue
- (ACL ID: P05-3018) word alignment and cross-lingual resource acquisition
- (ACL ID: P05-3021) automating temporal annotation with tarsqi
- (ACL ID: P06-1095) machine learning of temporal relations
- (ACL ID: P06-1113) question answering with lexical chains propagating verb arguments
- (ACL ID: P06-2086) ures
- (ACL ID: P06-2109) trimming cfg parse trees for sentence compression using machine learning approaches
- (ACL ID: P06-4010) chinese named entity and relation identification system
- (ACL ID: P98-2186) part of speech tagging using a network of linear separators
- (ACL ID: P99-1040) automatic detection of poor speech recognition at the dialogue level
- (ACL ID: W00-0802) sense clusters for information retrieval
- (ACL ID: W01-0509) question answering using a large text database
- (ACL ID: W01-0707) probabilistic models for pp-attachment resolution and np analysis
- (ACL ID: W01-1011) gist-it
- (ACL ID: W02-0301) tuning support vector machines for biomedical named entity recognition
- (ACL ID: W02-1024) a hybrid approach to natural language web search
- (ACL ID: W02-1706) xml-based nlp tools for analysing and annotating medical language
- (ACL ID: W03-1023) using the web in machine learning for other-anaphora resolution
- (ACL ID: W03-1024) japanese zero pronoun resolution based on ranking rules and machine learning
- (ACL ID: W03-1028) improved automatic keyword extraction given more linguistic knowledge
- (ACL ID: W03-1208) question classification using hdag kernel
- (ACL ID: W03-1305) two-phase biomedical ne recognition based on svms
- (ACL ID: W03-1308) bio-medical entity extraction using support vector machines
- (ACL ID: W03-1501) learning formulation and transformation rules for multilingual named entities
- (ACL ID: W03-1708) chiners
- (ACL ID: W04-0108) a comparison of two different approaches to morphological analysis of dutch
- (ACL ID: W04-0713) an algorithm for resolving individual and abstract anaphora in danish texts and dialogues
- (ACL ID: W04-0855) ubb system at senseval-3
- (ACL ID: W04-0857) generative models for semantic role labeling
- (ACL ID: W04-0908) carsim
- (ACL ID: W04-0910) paraphrastic grammars
- (ACL ID: W04-1907) corpus-based induction of an lfg syntax-semantics interface for frame semantic processing
- (ACL ID: W04-2305) combining acoustic confidences and pragmatic plausibility for classifying spoken chess move instructions
- (ACL ID: W04-2501) strategies for advanced question answering
- (ACL ID: W04-2807) different sense granularities for different applications
- (ACL ID: W04-3210) automatic paragraph identification
- (ACL ID: W04-3246) learning hebrew roots
- (ACL ID: W05-0203) a real-time multiple-choice question generation for language testing
- (ACL ID: W05-0401) a novel machine learning approach for the identification of named entity relations
- (ACL ID: W05-0406) identifying non-referential it
- (ACL ID: W05-0511) steps toward deep lexical acquisition
- (ACL ID: W05-0637) applying spelling error correction techniques for improving semantic role labelling
- (ACL ID: W05-0904) syntactic features for evaluation of machine translation
- (ACL ID: W05-1302) adaptive string similarity metrics for biomedical reference resolution
- (ACL ID: W05-1304) a machine learning approach to acronym generation
- (ACL ID: W06-0302) toward opinion summarization
- (ACL ID: W06-0308) towards a validated model for affective classification of texts
- (ACL ID: W06-1309) tracing actions helps in understanding interactions
- (ACL ID: W06-1618) identification of event mentions and their semantic class
- (ACL ID: W06-1634) automatic construction of predicate-argument structure patterns for biomedical information extraction
- (ACL ID: W06-1650) automatically assessing review helpfulness
- (ACL ID: W06-1656) boosting unsupervised relation extraction by using ner
- (ACL ID: W06-1660) empirical study on the performance stability of named entity recognition model across domains
- (ACL ID: W06-2407) extending corpus-based identification of light verb constructions using a supervised learning framework
- (ACL ID: W06-3005) a data driven approach to relevancy recognition for contextual question answering
- (ACL ID: W06-3206) improved morpho-phonological sequence processing with constraint satisfaction inference
- (ACL ID: W06-3809) random-walk term weighting for improved text classification
- (ACL ID: W99-0207) corpus-based anaphora resolution towards antecedent preference
* See also a list of some of the related terms to machine learning approach.
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