Update README

Author: mroavi

README.md

@@ -7,11 +7,18 @@
 [![Build Status](https://github.com/TensorBFS/TensorInference.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/TensorBFS/TensorInference.jl/actions/workflows/CI.yml?query=branch%3Amain)
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-This package implements a tensor network based probabilistic modeling toolbox, which covers the probability inference functionalities in [this page](https://uaicompetition.github.io/uci-2022/competition-entry/tasks/):
-* PR: computing the partition function or probability of evidence,
-* MAR: computing the marginal probability distribution over all variables given evidence.
-* MAP: computing the most likely assignment to all variables given evidence.
-* MMAP: computing the most likely assignment to the query variables after marginalizing out the remaining variables.
+This package presents a tensor network-based probabilistic modeling toolbox for
+probabilistic inference. It features solutions for the [probability inference
+tasks](https://uaicompetition.github.io/uci-2022/competition-entry/tasks/) of
+the [UAI inference competitions](https://uaicompetition.github.io/uci-2022/),
+which include:
+
+- **PR**: Computing the partition function or probability of evidence.
+- **MAR**: Computing the marginal probability distribution over all variables
+  given evidence.
+- **MAP**: Computing the most likely assignment to all variables given evidence.
+- **MMAP**: Computing the most likely assignment to the query variables after
+  marginalizing out the remaining variables.
 
 ## Installation
 <p>
@@ -21,29 +28,29 @@ This package implements a tensor network based probabilistic modeling toolbox, w
         Julia Language
     </a>
     &nbsp; package. To install <code>TensorInference</code>,
-    please <a href="https://docs.julialang.org/en/v1/manual/getting-started/">open
-    Julia's interactive session (known as REPL)</a> and press <kbd>]</kbd> key in the REPL to use the package mode, then type
+    start Julia's <a href="https://docs.julialang.org/en/v1/manual/getting-started/">REPL</a> and press <kbd>]</kbd> key in the REPL to use the package mode, then type
 </p>
 
 ```julia
 pkg> add TensorInference
 ```
 
-To update, just type `up` in the package mode.
+To update, type `up` in the package mode.
 
 ## Examples
-Examples are in the [examples](examples) folder, which contains the following list of example problems
-- [asia network](examples/asia)
 
+Check out the [examples](examples) directory to learn how to use the API of
+*TensorInference.jl*.
 
 ## Supporting and Citing
 
-Much of the software in this ecosystem was developed as a part of an academic research project.
-If you would like to help support it, please star the repository.
-If you use our software as part of your research, teaching, or other activities, we would like to request you to cite our [work (TBA)](). 
-The
-[CITATION.bib](CITATION.bib) file in the root of this repository lists the relevant papers.
+Much of the software in this ecosystem was developed as a part of an academic
+research project. If you would like to help support it, please star the
+repository. If you use our software as part of your research, teaching, or other
+activities, please cite our [work (TBA)](). The [CITATION.bib](CITATION.bib)
+file in the root of this repository lists the relevant papers.
 
 ## Questions and Contributions
 
-Please Open an [issue](https://github.com/TensorBFS/TensorInference.jl/issues) if you encounter any problems, or have any feature request.
+Please open an [issue](https://github.com/TensorBFS/TensorInference.jl/issues)
+if you encounter any problems, or have any feature requests.