@InProceedings{milde-EtAl:2016:COLING,
  author    = {Milde, Benjamin  and  Wacker, Jonas  and  Radomski, Stefan  and  M\"{u}hlh\"{a}user, Max  and  Biemann, Chris},
  title     = {Ambient Search: A Document Retrieval System for Speech Streams},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {2082--2091},
  abstract  = {We present Ambient Search, an open source system for displaying and retrieving
	relevant documents in real time for speech input. The system works ambiently,
	that is, it unobstructively listens to speech streams in the background,
	identifies keywords and keyphrases for query construction and continuously
	serves relevant documents from its index. Query terms are ranked with Word2Vec
	and TF-IDF and are continuously updated to allow for ongoing querying of a
	document collection. The retrieved documents, in our case Wikipedia articles,
	are visualized in real time in a browser interface. Our evaluation shows that
	Ambient Search compares favorably to another implicit information retrieval
	system on speech streams. Furthermore, we extrinsically evaluate multiword
	keyphrase generation, showing positive impact for manual transcriptions.},
  url       = {http://aclweb.org/anthology/C16-1196}
}