@incollection{MehlerKuehnbergerLobinetal.2015, author = {Alexander Mehler and Kai-Uwe K{\"u}hnberger and Henning Lobin and Harald L{\"u}ngen and Angelika Storrer and Andreas Witt}, title = {Introduction: Modeling, Learning and Processing of Text-Technological Data Structures}, series = {Modeling, Learning, and Processing of Text-Technological Data Structures}, editor = {Alexander Mehler and Kai-Uwe K{\"u}hnberger and Henning Lobin and Harald L{\"u}ngen and Angelika Storrer and Andreas Witt}, publisher = {Springer}, address = {Berlin/Heidelberg}, isbn = {978-3-642-22612-0}, doi = {10.1007/978-3-642-22613-7\_1}, url = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-45067}, pages = {1 -- 11}, year = {2015}, abstract = {Researchers in many disciplines, sometimes working in close cooperation, have been concerned with modeling textual data in order to account for texts as the prime information unit of written communication. The list of disciplines includes computer science and linguistics as well as more specialized disciplines like computational linguistics and text technology. What many of these efforts have in common is the aim to model textual data by means of abstract data types or data structures that support at least the semi-automatic processing of texts in any area of written communication.}, language = {en} }