Updated readme

README.md

@@ -12,15 +12,15 @@ is a python toolkit, devoted to document level Attitude and Relation Extraction
 ## Description
 
 This toolkit aims to solve data preparation problems in Relation Extraction related taks, considiering such factors as:
-* ⛓️ EL (entity-linking) API support for objects, 
+* 🔗 EL (entity-linking) API support for objects, 
 * ➰ avoidance of cyclic connections,
-* 🔗 distance consideration between relation participants (in `terms` or `sentences`),
+* :straight_ruler: distance consideration between relation participants (in `terms` or `sentences`),
 * 📑 relations annotations and filtering rules,
 * *️⃣ entities formatting or masking, and more.
 
 Using AREkit you may focus on preparation and experiments with your ML-models by shift all the data-preparation part  onto toolset of this project ([tutorial](https://nicolay-r.github.io/blog/articles/2022-05/process-mass-media-relations-with-arekit)).
 In order to do so, we provide:
-* 📚 API for external collection binding (native support of [BRAT](https://brat.nlplab.org/)-based exported annotations) 
+* :file_folder: API for external collection binding (native support of [BRAT](https://brat.nlplab.org/)-based exported annotations) 
 * ➿ pipelines and iterators for handling large-scale collections serialization without out-of-memory issues.
 
 AREkit complements the [OpenNRE](https://github.com/thunlp/OpenNRE) functionality since *document-level RE setting is not widely explored* (2.4 [[paper]](https://aclanthology.org/D19-3029.pdf)).