From 256096c941ee4079df5bb1beea475df1d4c89f93 Mon Sep 17 00:00:00 2001 From: Titas Nandi Date: Mon, 20 Mar 2017 14:05:53 +0530 Subject: [PATCH] Update README.md --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 2b68bf6..f91ccb9 100644 --- a/README.md +++ b/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)