%0 Conference Paper %1 babych11:_depen_based_quest_valid_for_german %A Babych, Svitlana %A Henn, Alexander %A Pawellek, Jan %A Padó, Sebastian %B CLEF Working Notes %C Amsterdam, Netherlands %D 2011 %K myown workshop %T Dependency-based Question Validation for German %U https://pdfs.semanticscholar.org/6a29/e049f298b223e8c982a8cbbde283142b932d.pdf %X This article describes the Heidelberg contribution to the CLEF 2011 QA4MRE task for German. We focus on the objective of not using any external resources, building a system that represents questions, answers and texts as formulae in propositional logic derived from dependency structure. Background knowledge is extracted from the background corpora using several knowledge extraction strategies. We answer questions by attempting to infer answers from the test documents complemented by background knowledge, with a distance measure as fall-back. The main challenge is to specify the translation from dependency structure into a logical representation. For this step, we suggest different rule sets and evaluate various configuration parameters that tune accuracy and coverage. All of runs exceed a random baseline, but show different coverage/accuracy profiles (accuracy up to 44\%, coverage up to 65\%).

@inproceedings{babych11:_depen_based_quest_valid_for_german, abstract = {This article describes the Heidelberg contribution to the CLEF 2011 QA4MRE task for German. We focus on the objective of not using any external resources, building a system that represents questions, answers and texts as formulae in propositional logic derived from dependency structure. Background knowledge is extracted from the background corpora using several knowledge extraction strategies. We answer questions by attempting to infer answers from the test documents complemented by background knowledge, with a distance measure as fall-back. The main challenge is to specify the translation from dependency structure into a logical representation. For this step, we suggest different rule sets and evaluate various configuration parameters that tune accuracy and coverage. All of runs exceed a random baseline, but show different coverage/accuracy profiles (accuracy up to 44\%, coverage up to 65\%).}, added-at = {2017-04-03T19:29:52.000+0200}, address = {Amsterdam, Netherlands}, author = {Babych, Svitlana and Henn, Alexander and Pawellek, Jan and Pad\'o, Sebastian}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20b7ec9d4e520debc31359cceca19c66d/sp}, booktitle = {CLEF Working Notes}, interhash = {18d4fac607a2b36567fad24e5a8ec286}, intrahash = {0b7ec9d4e520debc31359cceca19c66d}, keywords = {myown workshop}, timestamp = {2017-04-03T17:30:49.000+0200}, title = {Dependency-based Question Validation for {G}erman}, url = {https://pdfs.semanticscholar.org/6a29/e049f298b223e8c982a8cbbde283142b932d.pdf}, year = 2011 }