Walter, Sebastian ; Unger, Christina ; Cimiano, Philipp ; Bär, Daniel (2012)
Evaluation of a Layered Approach to Question Answering over Linked Data.
Boston, MA, USA
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We present a question answering system architecture which processes natural language questions in a pipeline consisting of five steps: i) question parsing and query template generation, ii) lookup in an inverted index, iii) string similarity computation, iv) lookup in a lexical database in order to find synonyms, and v) semantic similarity computation. These steps are ordered with respect to their computational effort, following the idea of layered processing: questions are passed on along the pipeline only if they cannot be answered on the basis of earlier processing steps, thereby invoking computationally expensive operations only for complex queries that require them. In this paper we present an evaluation of the system on the dataset provided by the 2nd Open Challenge on Question Answering over Linked Data (QALD-2). The main, novel contribution is a systematic empirical investigation of the impact of the single processing components on the overall performance of question answering over linked data.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Walter, Sebastian ; Unger, Christina ; Cimiano, Philipp ; Bär, Daniel |
| Art des Eintrags: | Bibliographie |
| Titel: | Evaluation of a Layered Approach to Question Answering over Linked Data |
| Sprache: | Englisch |
| Publikationsjahr: | November 2012 |
| Buchtitel: | Proceedings of the 11th International Semantic Web Conference |
| Veranstaltungsort: | Boston, MA, USA |
| URL / URN: | https://link.springer.com/chapter/10.1007/978-3-642-35173-0_... |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | We present a question answering system architecture which processes natural language questions in a pipeline consisting of five steps: i) question parsing and query template generation, ii) lookup in an inverted index, iii) string similarity computation, iv) lookup in a lexical database in order to find synonyms, and v) semantic similarity computation. These steps are ordered with respect to their computational effort, following the idea of layered processing: questions are passed on along the pipeline only if they cannot be answered on the basis of earlier processing steps, thereby invoking computationally expensive operations only for complex queries that require them. In this paper we present an evaluation of the system on the dataset provided by the 2nd Open Challenge on Question Answering over Linked Data (QALD-2). The main, novel contribution is a systematic empirical investigation of the impact of the single processing components on the overall performance of question answering over linked data. |
| Freie Schlagworte: | UKP_a_NLP4Wikis;UKP_p_WIKULU;UKP_s_DKPro_Similarity;reviewed |
| ID-Nummer: | TUD-CS-2012-0158 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 21 Sep 2018 08:15 |
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