@inproceedings{1148,
  abstract     = {{The individual search for information about physicians on Web 2.0 platforms can affect almost all aspects of our lives. People can directly access physician rating websites via web browsers or use any search engine to find physician reviews and ratings filtered by location resp. specialty. However, sometimes keyword search does not meet user needs because of the disagreement of users’ common terms queries for symptoms and the widespread medical terminology. In this paper, we present the prototype of a specialised search engine that overcomes this by indexing user-generated content (i.e., review texts) for physician discovery and provides automatic suggestions as well as an appropriate visualisation. On the one hand, we consider the available numeric physician ratings as sorting criterion for the ranking of query results. Furthermore, we extended existing ranking algorithms with respect to domain-specific types and physicians ratings on the other hand. We gathered more than 860,000 review texts and collected more than 213,000 physician records. A random test shows that about 19.7% of 5,100 different words in total are health- related and partly belong to consumer health vocabularies. Our evaluation results show that the query results fit user's particular health issues when seeking for physicians.}},
  author       = {{Bäumer, Frederik Simon and Dollmann, Markus and Geierhos, Michaela}},
  booktitle    = {{The 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015) / The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015) / Affiliated Workshops}},
  editor       = {{Shakshuki, Elhadi M.}},
  issn         = {{18770509}},
  keywords     = {{Physician Discovery, Consumer Health Vocabulary, Common Terms Query}},
  location     = {{Berlin, Germany}},
  pages        = {{417--424}},
  publisher    = {{Elsevier}},
  title        = {{{Find a Physician by Matching Medical Needs described in your Own Words}}},
  doi          = {{10.1016/j.procs.2015.08.362}},
  volume       = {{63}},
  year         = {{2015}},
}

@article{58013,
  abstract     = {{This study examines whether lexical repetition, syntactic skills, and working memory (WM) affect children’s syntactic-priming behavior, i.e. their tendency to adopt previously encountered syntactic structures. Children with Specific Language Impairment (SLI) and typically developing (TD) children were primed with prenominal (e.g., the yellow cup) or relative clause (RC; e.g., the cup that is yellow) structures with or without lexical overlap and performed additional tests of productive syntactic skills and WM capacity. Results revealed a reliable syntactic-priming effect without lexical boost in both groups: SLI and TD children produced more RCs following RC primes than following prenominal primes. Grammaticality requirements influenced RC productions in that SLI children produced fewer grammatical RCs than TD children. Of the additional measures, WM positively affected how frequently children produced dispreferred RC structures, but productive syntactic skills had no effect. The results support an implicit-learning account of syntactic priming and emphasize the importance of WM in syntactic priming tasks.}},
  author       = {{Foltz, Anouschka and Thiele, Kristina and Kahsnitz, Dunja and Stenneken, Prisca}},
  journal      = {{Journal of child language}},
  keywords     = {{Child, Female, Germany, Humans, Linguistics, Male, Memory, Short-Term, Vocabulary}},
  number       = {{4}},
  pages        = {{932–945}},
  title        = {{{Children’s syntactic-priming magnitude: lexical factors and participant characteristics}}},
  doi          = {{10.1017/S0305000914000488}},
  volume       = {{42}},
  year         = {{2015}},
}