Global Thread-level Inference for Comment Classification in Community Question Answering

@inproceedings{Joty2015GlobalTI,
  title={Global Thread-level Inference for Comment Classification in Community Question Answering},
  author={Shafiq R. Joty and Alberto Barr{\'o}n-Cede{\~n}o and Giovanni Da San Martino and Simone Filice and Llu{\'i}s M{\`a}rquez i Villodre and Alessandro Moschitti and Preslav Nakov},
  booktitle={EMNLP},
  year={2015}
}
  • Shafiq R. Joty, Alberto Barrón-Cedeño, +4 authors Preslav Nakov
  • Published in EMNLP 2015
  • Computer Science
  • Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly consult the opinion of a number of people on a particular topic, thus taking advantage of the wisdom of the crowd. Here we try to help the user by deciding automatically which answers are good and which are bad for a given question. In particular, we focus on exploiting the output structure at the thread level in order to make more consistent global decisions. More specifically… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 26 REFERENCES

    Jun Xu

    • Yongshuai Hou, Cong Tan, Xiaolong Wang, Yaoyun Zhang
    • and Qingcai Chen.
    • 2015
    VIEW 1 EXCERPT

    Lluı́s Màrquez

    • Alberto Barrón-Cedeño, Simone Filice, Giovanni Da San Martino, Shafiq Joty
    • Preslav Nakov, and Alessandro Moschitti.
    • 2015
    VIEW 1 EXCERPT

    Lluı́s Màrquez

    • Preslav Nakov
    • Walid Magdy, Alessandro Moschitti, Jim Glass, and Bilal Randeree.
    • 2015

    2015a. Answer sequence learning with neural networks for answer selection in community question answering

    • Zhou et al.2015a Xiaoqiang Zhou, Baotian Hu, Qingcai Chen, Buzhou Tang, Xiaolong Wang
    • In Proceedings of the 53rd Annual Meet-
    • 2015
    VIEW 2 EXCERPTS

    Iryna Gurevych

    • Daniel Bär, Chris Biemann
    • and Torsten Zesch.
    • 2012