http://hdl.handle.net/1721.1/29808 2013-05-22T11:34:51Z http://hdl.handle.net/1721.1/62812 Understanding the Performance of Broadband Networks through the Statistical Analysis of Speed Tests - Supplemental materials García, Rubén Supplemental materials for the master thesis "Understanding the Performance of Broadband Networks Through the Statistical Analysis of Speed Tests", by Rubén García, submitted in May 2011 for the S.M. in Technology and Policy. Supplemental materials include: Source_code: Folder containing the source code for the statistical analysis of NDT speed tests, written for the R statistical package; NDT_data: Folder containing the following datasets (1) ndt4.h5: Initial NDT data that we used for the analysis; (2) ndt3.h5: Reduced version of the ndt4 dataset (same tests but less variables), also contains the 'whois' file that we combine with the NDT data in order to add location information; (3) comcast-ndt.h5: dataset containing the speed tests of a controlled experiment that we ran using different test durations; Aggregated_datasets: Versions of the ndt4.h5 dataset aggregated by IP and by Autonomous System. 2011-05-10T00:00:00Z http://hdl.handle.net/1721.1/62793 jMWE v1.0.0 Finlayson, Mark Alan; Kulkarni, Nidhi jMWE is a Java library for constructing and testing Multi-Word Expression detectors. The library has three main facilities: (1) a detector API, (2) a MWE index facility, and (3) a test harness. This is version 1.0.0 of the library. It contains the source code, compiled binary files, javadocs, a user's manual (pdf), and data for constructing a default MWE index. The freely available version of jMWE is licensed for use for non-commercial purposes only, as long as proper acknowledgment is made. Details can be found in the license, which is included at the end of this document. The copyright on the software is owned by MIT; if you wish to use the software for commercial purposes, please contact the MIT Technology Licensing Office for more information on how to obtain a commercial license. http://hdl.handle.net/1721.1/62792 Source code and data for MWE'2011 papers Finlayson, Mark Alan; Kulkarni, Nidhi Contains the source code and data necessary to run all computations described in the following two papers: Finlayson, Mark A. and Kulkarni, Nidhi (2011) "Detecting Multi-Word Expressions improves Word Sense Disambiguation", in Proceedings of the 2011 Workshop on Multiword Expressions, held at ACL'2011 in Portland, OR; Kulkarni, Nidhi and Finlayson, Mark A. (2011) "jMWE: A Java Toolkit for Detecting Multi-Word Expressions" in Proceedings of the 2011 Workshop on Multiword Expressions, held at ACL'2011 in Portland, OR. 2011-05-09T00:00:00Z http://hdl.handle.net/1721.1/57507 UCM/MIT Indications, Referring Expressions, and Coreference Corpus (UMIREC corpus) v1.1 Finlayson, Mark Alan; Hervas, Raquel The corpus comprises 62 files in "Story Workbench" annotation format: 30 folktales in English from a variety of sources, and 32 Wall Street Journal articles selected to coincide with articles found in the Penn Treebank. The files are annotated with the location of referring expressions, coreference relations between the referring expressions, and so-called "indication structures", which split referring expressions into constituents (nuclei and modifiers) and mark each constituent as either 'distinctive' or 'descriptive', indicating whether or not the constituent contains information required for uniquely identifying the referent. The files distributed in this corpus archive are the gold-standard files, which were constructed by merging annotations done by two trained annotators. The contents of this corpus, the annotation procedure, and the indication structures are described in more detail in a paper titled "The Prevalence of Descriptive Referring Expressions in News and Narrative" published in the proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, held in July 2010 in Uppsala, Sweden (ACL-2010). A near-final version of the paper is included in the doc/ directory of the compressed corpus archive file. This is version 1.1 of the UMIREC corpus, in which the coreference annotations have been fixed relative to version 1.0. UMIREC v1.0 suffered from a bug in the export script that corrupted the coreference data. 2010-05-12T00:00:00Z