Corpus ID: 21699175

CogCompNLP: Your Swiss Army Knife for NLP

@inproceedings{Khashabi2018CogCompNLPYS,
  title={CogCompNLP: Your Swiss Army Knife for NLP},
  author={Daniel Khashabi and Mark Sammons and Ben Zhou and Tom Redman and Christos Christodoulopoulos and Vivek Srikumar and Nicholas Rizzolo and Lev-Arie Ratinov and Guanheng Luo and Q. Do and Chen-Tse Tsai and Subhro Roy and Stephen Mayhew and Z. Feng and J. Wieting and Xiaodong Yu and Y. Song and Shashank Gupta and Shyam Upadhyay and N. Arivazhagan and Qiang Ning and Shaoshi Ling and D. Roth},
  booktitle={LREC},
  year={2018}
}
Implementing a Natural Language Processing (NLP) system requires considerable engineering effort: creating data-structures to represent language constructs; reading corpora annotations into these data-structures; applying off-the-shelf NLP tools to augment the text representation; extracting features and training machine learning components; conducting experiments and computing performance statistics; and creating the end-user application that integrates the implemented components. While there… Expand
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