Added RuSentNE-2023 evaluation (#638)

* Update sentiment-analysis.md

+ RuSentNE-2023 evaluation

* Update sentiment-analysis.md

updated RuSentNE-2023

* Update sentiment-analysis.md

+ RuSentNE-2023

russian/sentiment-analysis.md

@@ -22,3 +22,19 @@ The public leaderboard is available at [github repository](https://github.com/ni
 | ... Meanwhile <ins>Moscow</ins> has repeatedly emphasized that its activity in the <ins>Baltic Sea</ins> is a response precisely to actions of **<ins>NATO</ins>** and the escalation of the hostile approach to **<ins>Russia</ins>** near its eastern borders ...
 | (NATO->Russia, neg), (Russia->NATO, neg) |
 
+## RuSentNE-2023
+
+The dataset for RuSentNE-2023 evaluation is based on the Russian news corpus RuSentNE having rich sentiment-related annotation. The corpus
+is annotated with named entities and sentiments towards these entities, along with related effects and emotional states. The dataset contains over 11000 sentences from 400+ large texts.
+
+**Entity-Oriented Sentiment Analysis task:** Given a subset of sentences, in which every sentence includes one or several named entities. For each sentence all of the named entities should be classified into one of three sentiment classes: positive, negative or neutral within the context of a single sentence.
+
+Task paper: https://arxiv.org/pdf/2305.17679.pdf
+
+The public leaderboard is available at [github repository](https://github.com/dialogue-evaluation/RuSentNE-evaluation)
+
+| Example |
+|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Notorious figure in the country - <ins>Berlusconi</ins> has been repeatedly accused of financial fraud
+| (Berlusconi-> neg)
+