• Corpus ID: 16058033

Self-Wiring Question Answering Systems

@article{Usbeck2016SelfWiringQA,
  title={Self-Wiring Question Answering Systems},
  author={Ricardo Usbeck and Jonathan Huthmann and Nico Duldhardt and Axel-Cyrille Ngonga Ngomo},
  journal={ArXiv},
  year={2016},
  volume={abs/1611.01802}
}
Question answering (QA) has been the subject of a resurgence over the past years. The said resurgence has led to a multitude of question answering (QA) systems being developed both by companies and research facilities. While a few components of QA systems get reused across implementations, most systems do not leverage the full potential of component reuse. Hence, the development of QA systems is currently still a tedious and time-consuming process. We address the challenge of accelerating the… 

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References

SHOWING 1-10 OF 17 REFERENCES

Qanary - The Fast Track to Creating a Question Answering System with Linked Data Technology

This work follows the research agenda of establishing an ecosystem for components of QA systems, which will enable the QA community to elevate the reusability of such components and to intensify their research activities.

Towards an open question answering architecture

This work presents a modular and extensible open-source question answering framework that can be used by integrating two state-of-the-art question answering systems and shows that overall better results can be achieved by the use of combination rather than individual stand-alone versions.

Survey on challenges of Question Answering in the Semantic Web

This survey analyzes 62 different SQA systems, which are systematically and manually selected using predefined inclusion and exclusion criteria, leading to 72 selected publications out of 1960 candidates, and identifies common challenges, structure solutions, and provide recommendations for future systems.

QANUS: An Open-source Question-Answering Platform

The need for a publicly available, generic software framework for question-answering (QA) systems is motivated and an open-source QA framework QANUS is presented which researchers can leverage on to build new QA systems easily and rapidly.

Semantic Interpretation of User Query for Question Answering on Interlinked Data

This dissertation presents the question answering system Sina, which transforms user-supplied queries into conjunctive SPARQL queries over a set of interlinked data sources and proposes a novel method for automatic query expansion, which employs a Hidden Markov Model to obtain the optimal tuples of derived words.

HAWK - Hybrid Question Answering Using Linked Data

This work presents HAWK, a novel entity search approach for Hybrid Question Answering based on combining Linked Data and textual data, which uses predicate-argument representations of questions to derive equivalent combinations of SPARQL query fragments and text queries.

Template-based question answering over RDF data

A novel approach that relies on a parse of the question to produce a SPARQL template that directly mirrors the internal structure of theQuestion answering system, which is then instantiated using statistical entity identification and predicate detection.

6th Open Challenge on Question Answering over Linked Data (QALD-6)

The past years have seen a growing amount of research on question answering over Semantic Web data (for an overview see [1]), shaping an interaction paradigm that allows end users to profit from the