Using Multi-Label Classification for Improved Question Answering

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschung

Standard

Using Multi-Label Classification for Improved Question Answering. / Usbeck, Ricardo; Hoffmann, Michael; Röder, Michael et al.
Conference XXX. 2017.

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschung

Harvard

Usbeck, R, Hoffmann, M, Röder, M, Lehmann, J & Ngomo, A-CN 2017, Using Multi-Label Classification for Improved Question Answering. in Conference XXX. https://doi.org/10.48550/arXiv.1710.08634

APA

Usbeck, R., Hoffmann, M., Röder, M., Lehmann, J., & Ngomo, A.-C. N. (2017). Using Multi-Label Classification for Improved Question Answering. Manuskript in Vorbereitung. In Conference XXX https://doi.org/10.48550/arXiv.1710.08634

Vancouver

Usbeck R, Hoffmann M, Röder M, Lehmann J, Ngomo ACN. Using Multi-Label Classification for Improved Question Answering. in Conference XXX. 2017 doi: 10.48550/arXiv.1710.08634

Bibtex

@inbook{962878965c9749a39486ae8646875085,
title = "Using Multi-Label Classification for Improved Question Answering",
abstract = " A plethora of diverse approaches for question answering over RDF data have been developed in recent years. While the accuracy of these systems has increased significantly over time, most systems still focus on particular types of questions or particular challenges in question answering. What is a curse for single systems is a blessing for the combination of these systems. We show in this paper how machine learning techniques can be applied to create a more accurate question answering metasystem by reusing existing systems. In particular, we develop a multi-label classification-based metasystem for question answering over 6 existing systems using an innovative set of 14 question features. The metasystem outperforms the best single system by 14% F-measure on the recent QALD-6 benchmark. Furthermore, we analyzed the influence and correlation of the underlying features on the metasystem quality. ",
keywords = "cs.IR, cs.CL, Informatics",
author = "Ricardo Usbeck and Michael Hoffmann and Michael R{\"o}der and Jens Lehmann and Ngomo, {Axel-Cyrille Ngonga}",
note = "15 pages, 4 Tables, 3 Figues",
year = "2017",
month = oct,
day = "24",
doi = "10.48550/arXiv.1710.08634",
language = "English",
booktitle = "Conference XXX",

}

RIS

TY - CHAP

T1 - Using Multi-Label Classification for Improved Question Answering

AU - Usbeck, Ricardo

AU - Hoffmann, Michael

AU - Röder, Michael

AU - Lehmann, Jens

AU - Ngomo, Axel-Cyrille Ngonga

N1 - 15 pages, 4 Tables, 3 Figues

PY - 2017/10/24

Y1 - 2017/10/24

N2 - A plethora of diverse approaches for question answering over RDF data have been developed in recent years. While the accuracy of these systems has increased significantly over time, most systems still focus on particular types of questions or particular challenges in question answering. What is a curse for single systems is a blessing for the combination of these systems. We show in this paper how machine learning techniques can be applied to create a more accurate question answering metasystem by reusing existing systems. In particular, we develop a multi-label classification-based metasystem for question answering over 6 existing systems using an innovative set of 14 question features. The metasystem outperforms the best single system by 14% F-measure on the recent QALD-6 benchmark. Furthermore, we analyzed the influence and correlation of the underlying features on the metasystem quality.

AB - A plethora of diverse approaches for question answering over RDF data have been developed in recent years. While the accuracy of these systems has increased significantly over time, most systems still focus on particular types of questions or particular challenges in question answering. What is a curse for single systems is a blessing for the combination of these systems. We show in this paper how machine learning techniques can be applied to create a more accurate question answering metasystem by reusing existing systems. In particular, we develop a multi-label classification-based metasystem for question answering over 6 existing systems using an innovative set of 14 question features. The metasystem outperforms the best single system by 14% F-measure on the recent QALD-6 benchmark. Furthermore, we analyzed the influence and correlation of the underlying features on the metasystem quality.

KW - cs.IR

KW - cs.CL

KW - Informatics

U2 - 10.48550/arXiv.1710.08634

DO - 10.48550/arXiv.1710.08634

M3 - Article in conference proceedings

BT - Conference XXX

ER -

DOI

Zuletzt angesehen

Publikationen

  1. Interlanguage pragmatics: From use to acquisition to second language pedagogy
  2. Special issue: Frameworks for Sustainability Management
  3. Innovation in Continuing Engineering Education with focus on gender and non-traditional students' pathways
  4. [3. Sonntag nach Epiphanias
  5. Compressive strength and hot deformation behavior of TX32 magnesium alloy with 0.4% Al and 0.4% Si additions
  6. Advancing science on the multiple connections between biodiversity, ecosystems and people
  7. Where pragmatics and dialectology meet
  8. Resolution improvement of accelerometers measurement for drones in agricultural applications
  9. Environmental performance, carbon performance and earnings management
  10. A comprehensive method for determination of fatty acids in the initial oral biofilm (pellicle)
  11. National ecosystem restoration pledges are mismatched with social-ecological enabling conditions
  12. A comparative survey of chemistry-driven in silico methods to identify hazardous substances under REACH
  13. Photodegradation of the UV filter ethylhexyl methoxycinnamate under ultraviolet light
  14. Group evaluations as self-group distancing
  15. Understanding the role of gender identity in charitable giving—recruiting bone marrow donors
  16. D2R2 2024: Linked Data-driven Resilience Research 2024
  17. Work-in-Progress
  18. Regierung
  19. Pragmatics and the English Language, Jonathan Culpeper, Michael Haugh. Palgrave Macmillan, Basingstoke (2014), 316 pp., ISBN: 9780230551732
  20. Ex Machina
  21. So verknüpfen Sie operatives Controlling und Berichtswesen
  22. The perceiver’s social role and a risk’s causal structure as determinants of environmental risk evaluation
  23. Non-native Douglas fir promotes epigeal spider density, but has a mixed effect on functional diversity
  24. Determinants of pollution
  25. Mindfulness and cognitive-behavioral strategies for psychological detachment
  26. Global decoupling of functional and phylogenetic diversity in plant communities
  27. COVID-19 and the ageing workforce
  28. Manieren beibringen
  29. A stakeholder theory perspective on business models: Value creation for sustainability