@inproceedings{bank-schierle-2012-survey,
    title = "A Survey of Text Mining Architectures and the {UIMA} Standard",
    author = "Bank, Mathias  and
      Schierle, Martin",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Do{\u{g}}an, Mehmet U{\u{g}}ur  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/ingest-emnlp/L12-1047/",
    pages = "3479--3486",
    abstract = "With the rising amount of digitally available text, the need for efficient processing algorithms is growing fast. Although a lot of libraries are commonly available, their modularity and interchangeability is very limited, therefore forcing a lot of reimplementations and modifications not only in research areas but also in real world application scenarios. In recent years, different NLP frameworks have been proposed to provide an efficient, robust and convenient architecture for information processing tasks. This paper will present an overview over the most common approaches with their advantages and shortcomings, and will discuss them with respect to the first standardized architecture - the Unstructured Information Management Architecture (UIMA)."
}