Merge branch 'master' of https://github.com/TitasNandi/QARank

README.md

@@ -2,8 +2,8 @@
 QARank is licensed under ASL 2.0 and other lenient licenses, allowing its use for academic and commercial purposes without restrictions.
 
 ## Downloading QARank
-* Download the jar file of the project from [here](https://github.com/tudarmstadt-lt/QASelection/releases/download/release1/QARank.jar).
-* Alternatively, download the [zip](https://github.com/tudarmstadt-lt/QASelection/archive/master.zip) of the java project and import it as a **maven** project in eclipse for experimentation.
+* Download the jar file of the project from [here](https://github.com/TitasNandi/QARank/releases/download/1.0/QARank.jar).
+* Alternatively, download the [zip](https://github.com/TitasNandi/QARank/archive/1.0.zip) of the java project and import it as a **maven** project in eclipse for experimentation.
 
 ## Downloading Data
 * QARank requires a training xml file, a test xml file and unannotated data to train models.
@@ -17,9 +17,9 @@ QARank is licensed under ASL 2.0 and other lenient licenses, allowing its use fo
  * Alternatively, combine various training xml files into one file *train.xml* for larger training data. Make sure to preserve the XML tree structure while doing this.
 * Similarly, choose one of the *subtask A* files in `semeval2016-task3-cqa-ql-traindev-v3.2/v3.2/dev/` or `semeval2016_task3_tests/SemEval2016_task3_test/English/` as test data and rename it **test.xml**.
 * The unannotated data can be downloaded from [here](http://alt.qcri.org/semeval2016/task3/data/uploads/QL-unannotated-data-subtaskA.xml.zip).
-* Download the *python scripts* required to run the system from [here](https://github.com/tudarmstadt-lt/QASelection/releases/download/release1/resources.zip).
+* Download the *python scripts* required to run the system from [here](https://github.com/TitasNandi/QARank/releases/download/1.0/resources.zip).
  * Unzip this `resources` folder in a suitable place.
-* The trained word embeddings on the large unannotated data can be found [here](https://github.com/tudarmstadt-lt/QASelection/releases/download/release1/vectors_unannotated.txt).
+* The trained word embeddings on the large unannotated data can be found [here](https://github.com/TitasNandi/QARank/releases/download/1.0/vectors_unannotated.txt).
 
 ## Running QARank
 * Run QARank jar as
@@ -35,6 +35,6 @@ java -Xmx10g -jar QARank.jar [absolute-path-to-xml_files-folder] [absolute-path-
 * [Introduction](https://github.com/TitasNandi/QARank/blob/master/src/main/java/doc/Home.md)
 * [Features](https://github.com/TitasNandi/QARank/blob/master/src/main/java/doc/Features.md)
 * [File Format](https://github.com/TitasNandi/QARank/blob/master/src/main/java/doc/file_format.md)
-* [Slides](https://github.com/tudarmstadt-lt/QASelection/releases/download/release1/conference_presentation.pdf)
+* [Slides](https://github.com/TitasNandi/QARank/releases/download/1.0/QARank_prezi.pdf)