QAestro - Semantic-Based Composition of Question Answering Pipelines

Kuldeep Singh, Ioanna Lytra, Maria-Esther Vidal, Dharmen Punjani, Harsh Thakkar, Christoph Lange 0002, Sören Auer. QAestro - Semantic-Based Composition of Question Answering Pipelines. In Djamal Benslimane, Ernesto Damiani, William I. Grosky, Abdelkader Hameurlain, Amit P. Sheth, Roland R. Wagner, editors, Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I. Volume 10438 of Lecture Notes in Computer Science, pages 19-34, Springer, 2017. [doi]

@inproceedings{SinghLVPT0A17,
  title = {QAestro - Semantic-Based Composition of Question Answering Pipelines},
  author = {Kuldeep Singh and Ioanna Lytra and Maria-Esther Vidal and Dharmen Punjani and Harsh Thakkar and Christoph Lange 0002 and Sören Auer},
  year = {2017},
  doi = {10.1007/978-3-319-64468-4_2},
  url = {https://doi.org/10.1007/978-3-319-64468-4_2},
  researchr = {https://researchr.org/publication/SinghLVPT0A17},
  cites = {0},
  citedby = {0},
  pages = {19-34},
  booktitle = {Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I},
  editor = {Djamal Benslimane and Ernesto Damiani and William I. Grosky and Abdelkader Hameurlain and Amit P. Sheth and Roland R. Wagner},
  volume = {10438},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-64468-4},
}