A Data-Driven Method for Classifying Connective Phrases

@misc{citeulike:1342754, abstract = {This paper describes a three-stage methodology for investigating the semantics and pragmatics of sentence and clause connective phrases. The first step in the methodology is to assemble a large corpus of connectives. The second step is to organise this corpus into a hierarchical taxonomy of synonyms and hyponyms, using a pre-theoretical substitution test. The final step is to impose a theoretical interpretation on the taxonomy. The taxonomy lends itself to an analysis of...}, author = {Knott, Alistair and Mellish, Chris }, citeulike-article-id = {1342754}, keywords = {coherence, corpus, discourse, nlp, rst, statistical-nlp}, posted-at = {2007-05-30 13:38:51}, priority = {4}, title = {A Data-Driven Method for Classifying Connective Phrases}, url = {http://citeseer.ist.psu.edu/knott96datadriven.html} }

TY - GEN ID - citeulike:1342754 L3 - citeulike-article-id:1342754 TI - A Data-Driven Method for Classifying Connective Phrases N2 - This paper describes a three-stage methodology for investigating the semantics and pragmatics of sentence and clause connective phrases. The first step in the methodology is to assemble a large corpus of connectives. The second step is to organise this corpus into a hierarchical taxonomy of synonyms and hyponyms, using a pre-theoretical substitution test. The final step is to impose a theoretical interpretation on the taxonomy. The taxonomy lends itself to an analysis of... KW - coherence KW - corpus KW - discourse KW - nlp KW - rst KW - statistical-nlp AU - Knott, Alistair AU - Mellish, Chris UR - http://citeseer.ist.psu.edu/knott96datadriven.html ER -