Solving the problem of cascading errors: Approximate Bayesian inference for linguistic annotation pipelines

COLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2006, Pages 618-626

  Finkel, Jenny Rose ^a   Manning, Christopher D ^a   Ng, Andrew Y ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE BAYESIAN INFERENCE; APPROXIMATE INFERENCE; END-TO-END PERFORMANCE; LOW LEVEL; NOVEL ARCHITECTURE; PERFORMANCE GAIN; PIPELINE ARCHITECTURE; QUESTION ANSWERING; SEMANTIC ROLE LABELING; TEXTUAL ENTAILMENT;

BAYESIAN NETWORKS; COMPUTATIONAL LINGUISTICS; ERRORS; INFERENCE ENGINES; NETWORK ARCHITECTURE; PIPE; PIPELINE PROCESSING SYSTEMS; PIPELINES; SEMANTICS; TEXT PROCESSING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80053379378     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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