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AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data

  • Sherzod HakimovEmail author
  • Soufian Jebbara
  • Philipp Cimiano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10587)

Abstract

The task of answering natural language questions over RDF data has received wide interest in recent years, in particular in the context of the series of QALD benchmarks. The task consists of mapping a natural language question to an executable form, e.g. SPARQL, so that answers from a given KB can be extracted. So far, most systems proposed are (i) monolingual and (ii) rely on a set of hard-coded rules to interpret questions and map them into a SPARQL query. We present the first multilingual QALD pipeline that induces a model from training data for mapping a natural language question into logical form as probabilistic inference. In particular, our approach learns to map universal syntactic dependency representations to a language-independent logical form based on DUDES (Dependency-based Underspecified Discourse Representation Structures) that are then mapped to a SPARQL query as a deterministic second step. Our model builds on factor graphs that rely on features extracted from the dependency graph and corresponding semantic representations. We rely on approximate inference techniques, Markov Chain Monte Carlo methods in particular, as well as Sample Rank to update parameters using a ranking objective. Our focus lies on developing methods that overcome the lexical gap and present a novel combination of machine translation and word embedding approaches for this purpose. As a proof of concept for our approach, we evaluate our approach on the QALD-6 datasets for English, German & Spanish.

Keywords

Question answering Multilinguality QALD Probabilistic graphical models Factor graphs 

Notes

Acknowledgements

This work was supported by the Cluster of Excellence Cognitive Interaction Technology ‘CITEC’ (EXC 277) at Bielefeld University, which is funded by the German Research Foundation (DFG).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Sherzod Hakimov
    • 1
    Email author
  • Soufian Jebbara
    • 1
  • Philipp Cimiano
    • 1
  1. 1.Semantic Computing Group, Cognitive Interaction Technology – Center of Excellence (CITEC)Bielefeld UniversityBielefeldGermany

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