@inproceedings{Strube:2006:WCS:1597348.1597414,
  abstract = {Wikipedia provides a knowledge base for computing word relatedness in a more structured fashion than a search engine and with more coverage than WordNet. In this work we present experiments on using Wikipedia for computing semantic relatedness and compare it to WordNet on various benchmarking datasets. Existing relatedness measures perform better using Wikipedia than a baseline given by Google counts, and we show that Wikipedia outperforms WordNet when applied to the largest available dataset designed for that purpose. The best results on this dataset are obtained by integrating Google, WordNet and Wikipedia based measures. We also show that including Wikipedia improves the performance of an NLP application processing naturally occurring texts.},
  acmid = {1597414},
  author = {Strube, Michael and Ponzetto, Simone Paolo},
  booktitle = {proceedings of the 21st national conference on Artificial intelligence - Volume 2},
  interhash = {a09d5123ab9ab8cb00b8df6f0a7f5c81},
  intrahash = {3ed30e1d22b977de9a4a50c929200d2d},
  isbn = {978-1-57735-281-5},
  location = {Boston, Massachusetts},
  numpages = {6},
  pages = {1419--1424},
  publisher = {AAAI Press},
  series = {AAAI'06},
  title = {WikiRelate! computing semantic relatedness using wikipedia},
  url = {http://dl.acm.org/citation.cfm?id=1597348.1597414},
  year = 2006
}

@article{andr2005measuring,
  abstract = {This publication explores the degree of accuracy to which the propagation delay of WLAN packets can be measured using today’s commercial, inexpensive equipment. The aim is to determine the distance between two wireless nodes for location sensing applications. We conducted experiments in which we measured the time difference between sending a data packet and receiving the corresponding immediate acknowledgement. We found the propagation delays correlate closely with distance, having only a measurement error of a few meters. Furthermore, they are more precise than received signal strength indications. To overcome the low time resolution of the given hardware timers, various statistical methods are applied, developed and analyzed. For example, we take advantage of drifting clocks to determine propagation delays that are forty times smaller than the clocks’ quantization resolution. Our approach also determines the frequency offset between remote and local crystal clocks.
ER  -},
  author = {Günther, André and Hoene, Christian},
  interhash = {9c2567a32488c5b74fa92197cffd97eb},
  intrahash = {ba15c6fcd227670705635293a4cf7206},
  journal = {NETWORKING 2005},
  pages = {768--779},
  title = {Measuring Round Trip Times to Determine the Distance Between WLAN Nodes},
  url = {http://dx.doi.org/10.1007/11422778_62},
  year = 2005
}

@inproceedings{Mcdonald01testingthe,
  abstract = {Distributional information has recently been implicated as playing an important role in several aspects of language ability. Learning the meaning of a word is thought to be dependent, at least in part, on exposure to the word in its linguistic contexts of use. In two experiments, we manipulated subjects ’ contextual experience with marginally familiar and nonce words. Results showed that similarity judgements involving these words were affected by the distributional properties of the contexts in which they were read. The accrual of contextual experience was simulated in a semantic space model, by successively adding larger amounts of experience in the form of item-in-context exemplars sampled from the British National Corpus. The experiments and the simulation},
  author = {Mcdonald, Scott and Ramscar, Michael},
  booktitle = {In Proceedings of the 23rd Annual Conference of the Cognitive Science Society},
  interhash = {e52a63b9e68235aa2596fe5f4443f642},
  intrahash = {dab2fb694c41ae1145195776d857368d},
  pages = {611--6},
  title = {Testing the distributional hypothesis: The influence of context on judgements of semantic similarity},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.7535},
  year = 2001
}

@article{mohammadSubmittedDistributional,
  author = {Mohammad, Saif and Hirst, Graeme},
  interhash = {69e8fa5785216419a3f39536115b814e},
  intrahash = {fe1ed4dfc0e42165de44853564c7f6af},
  title = {Distributional measures as proxies for semantic relatedness},
  url = {http://ftp.cs.toronto.edu/pub/gh/Mohammad+Hirst-2005.pdf},
  year = {Submitted for publication}
}

@book{harris68mathematical,
  address = {New York},
  author = {Harris, Z. S.},
  interhash = {a2f232a3806a54bf3770d35ce62347a5},
  intrahash = {f834ac9131f49062a5f1e362c35c8de8},
  location = {New York},
  publisher = {Wiley},
  title = {Mathematical Structures of Language},
  year = 1968
}

@article{firth57synopsis,
  abstract = {Reprinted in:  Palmer, F. R. (ed.) (1968). Selected Papers of J. R. Firth 1952-59, pages 168-205. Longmans, London. },
  address = {Oxford},
  author = {Firth, J. R.},
  booktitle = {Studies in Linguistic Analysis (special volume of the Philological Society)},
  interhash = {b4f769667fdd195b4a75f61f6388a52e},
  intrahash = {5e3d6c72cdd123a638f71886d78f3c1e},
  pages = {1-32},
  publisher = {The Philological Society},
  title = {A synopsis of linguistic theory 1930-55.},
  volume = {1952-59},
  year = 1957
}

@phdthesis{weeds-thesis,
  author = {Weeds, Julie},
  interhash = {cc27a40760f8b976a278399164531246},
  intrahash = {d3cd471653813c03818c23cc5982417f},
  school = {Department of Informatics, University of Sussex},
  title = {Measures and Applications of Lexical Distributional Similarity},
  url = {citeseer.ist.psu.edu/weeds03measures.html},
  year = 2003
}

@inproceedings{dagan93contextual,
  author = {Dagan, Ido and Marcus, Shaul and Markovitch, Shaul},
  booktitle = {Meeting of the Association for Computational Linguistics},
  interhash = {5de57a664fb461c5df68c8a3e3ebd3f7},
  intrahash = {e2949e3bd6990510c42e5ed42563be3d},
  pages = {164-171},
  title = {Contextual Word Similarity and Estimation from Sparse Data},
  url = {citeseer.ist.psu.edu/ido93contextual.html},
  year = 1993
}

@inproceedings{Resnik95,
  author = {Resnik, Philip},
  booktitle = {Proceedings of the XI International Joint Conferences on Artificial},
  interhash = {746146003bcba4f1df57044178a1b9ac},
  intrahash = {8edbd78ec00b2649fd6b6b5a85fc03ff},
  pages = {448-453},
  title = {{Using Information Content to Evaluate Semantic Similarity in a Taxonomy}},
  year = 1995
}