Evaluating Semantic Evaluations: How RTE Measures Up

Samuel Bayer, John D. Burger, Lisa Ferro, John C. Henderson, Lynette Hirschman, Alexander S. Yeh. Evaluating Semantic Evaluations: How RTE Measures Up. In Joaquin Quiñonero Candela, Ido Dagan, Bernardo Magnini, Florence d Alché-Buc, editors, Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers. Volume 3944 of Lecture Notes in Computer Science, pages 309-331, Springer, 2005. [doi]

@inproceedings{BayerBFHHY05,
  title = {Evaluating Semantic Evaluations: How RTE Measures Up},
  author = {Samuel Bayer and John D. Burger and Lisa Ferro and John C. Henderson and Lynette Hirschman and Alexander S. Yeh},
  year = {2005},
  doi = {10.1007/11736790_18},
  url = {http://dx.doi.org/10.1007/11736790_18},
  tags = {C++},
  researchr = {https://researchr.org/publication/BayerBFHHY05},
  cites = {0},
  citedby = {0},
  pages = {309-331},
  booktitle = {Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers},
  editor = {Joaquin Quiñonero Candela and Ido Dagan and Bernardo Magnini and Florence d Alché-Buc},
  volume = {3944},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-33427-0},
}