%0 Conference Paper %1 tomokiyo_language_2003 %A Tomokiyo, Takashi %A Hurst, Matthew %D 2003 %I Association for Computational Linguistics %K terminologieextraktion %P 33--40 %R 10.3115/1119282.1119287 %T A language model approach to keyphrase extraction %U http://dx.doi.org/10.3115/1119282.1119287 %X We present a new approach to extracting keyphrases based on statistical language models. Our approach is to use pointwise KL-divergence between multiple language models for scoring both phraseness and informativeness, which can be unified into a single score to rank extracted phrases.

@inproceedings{tomokiyo_language_2003, abstract = {We present a new approach to extracting keyphrases based on statistical language models. Our approach is to use pointwise KL-divergence between multiple language models for scoring both phraseness and informativeness, which can be unified into a single score to rank extracted phrases.}, added-at = {2018-11-04T16:54:56.000+0100}, author = {Tomokiyo, Takashi and Hurst, Matthew}, biburl = {https://www.bibsonomy.org/bibtex/2a6e6ee86b3731e3e2781b63efa9029fa/lepsky}, doi = {10.3115/1119282.1119287}, interhash = {20b411d412a8e45b1acee1c72c108973}, intrahash = {a6e6ee86b3731e3e2781b63efa9029fa}, keywords = {terminologieextraktion}, pages = {33--40}, publisher = {Association for Computational Linguistics}, timestamp = {2018-11-04T16:54:56.000+0100}, title = {A language model approach to keyphrase extraction}, url = {http://dx.doi.org/10.3115/1119282.1119287}, year = 2003 }