Natural language interfaces: what is the problem? – a data-driven quantitative analysis

Authors:
Philipp Cimiano;Michael Minock
Affiliations:
WIS, TU Delft;University of Umea
Venue:
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
Year:
2009

Citing 8
Cited 4

TEAM: an experiment in the design of transportable natural-language interfaces

Artificial Intelligence
Logical foundations of object-oriented and frame-based languages

Journal of the ACM (JACM)
Towards a theory of natural language interfaces to databases

Proceedings of the 8th international conference on Intelligent user interfaces
Ontobroker: Ontology Based Access to Distributed and Semi-Structured Information

DS-8 Proceedings of the IFIP TC2/WG2.6 Eighth Working Conference on Database Semantics- Semantic Issues in Multimedia Systems
Towards portable natural language interfaces to knowledge bases - The case of the ORAKEL system

Data & Knowledge Engineering
Towards Building Robust Natural Language Interfaces to Databases

NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Towards Foundational SemanticsOntological Semantics Revisited

Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
A phrasal approach to natural language interfaces over databases

NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems

Pythia: compositional meaning construction for ontology-based question answering on the semantic web

NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Representing and resolving ambiguities in ontology-based question answering

TIWTE '11 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
Is question answering fit for the semantic web?: a survey

Semantic Web
Evaluating question answering over linked data

Web Semantics: Science, Services and Agents on the World Wide Web

Quantified Score

Hi-index	0.00

Visualization

Abstract

While qualitative analyses of the problems involved in building natural language interfaces (NLIs) have been available, a quantitative grounding in empirical data has been missing. We fill this gap by providing a quantitative analysis on the basis of the Geobase dataset. We hope that this analysis can guide further research in NLIs.