📢 Through the 2024 we attempting in advancing opinion mining by proposing evaluation which involves explanations! 
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📢 Through the 2024 we attempting in advancing opinion mining by proposing evaluation which involves explanations! 
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A while ago we launched RuOpinionNE-2024 aimed at extraction of sentiment opinions with spans (as explanations) from mass media news written in Russian language. The formed competition is at the final stage on codalab platform:
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A while ago we launched RuOpinionNE-2024 aimed at extraction of sentiment opinions with spans (as explanations) from mass media news written in Russian language. The formed competition is at the final stage on codalab platform:
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📊 
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📊 
https://codalab.lisn.upsaclay.fr/competitions/20244
https://codalab.lisn.upsaclay.fr/competitions/20244
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🔎 What we already observe? For the two type of sentiment labels (positive and negative), our recent findings were that the top performing submission results in F1=0.34 while the baseline LLM approach results in F1=0.17 (see screenshot of the leaderboard below 📸)
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🔎 What we already observe? For the two type of sentiment labels (positive and negative), our recent findings were that the top performing submission results in F1=0.34 while the baseline LLM approach results in F1=0.17 (see screenshot of the leaderboard below 📸)
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⏰️ We finally launch the final stage with a decent amount of submissions which lasts until 
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⏰️ We finally launch the final stage with a decent amount of submissions which lasts until 
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15th of January 2025. 
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15th of January 2025. 
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🙌 Everyone who wish to evaluate most recent advances on explainable opinion mining during the final stage are welcome!
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🙌 Everyone who wish to evaluate most recent advances on explainable opinion mining during the final stage are welcome!
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Codalab main page: 
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Codalab main page: 
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https://codalab.lisn.upsaclay.fr/competitions/20244#learn_the_details
https://codalab.lisn.upsaclay.fr/competitions/20244#learn_the_details
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More details on github: 
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More details on github: 
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https://github.com/dialogue-evaluation/RuOpinionNE-2024
https://github.com/dialogue-evaluation/RuOpinionNE-2024
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📢 Through the 2024 we attempting in advancing opinion mining by proposing evaluation which involves explanations! 

A while ago we launched RuOpinionNE-2024 aimed at extraction of sentiment opinions with spans (as explanations) from mass media news written in Russian language. The formed competition is at the final stage on codalab platform:
📊 https://codalab.lisn.upsaclay.fr/competitions/20244

🔎 What we already observe? For the two type of sentiment labels (positive and negative), our recent findings were that the top performing submission results in F1=0.34 while the baseline LLM approach results in F1=0.17 (see screenshot of the leaderboard below 📸)

⏰️ We finally launch the final stage with a decent amount of submissions which lasts until 
15th of January 2025. 

🙌 Everyone who wish to evaluate most recent advances on explainable opinion mining during the final stage are welcome!

Codalab main page: 
https://codalab.lisn.upsaclay.fr/competitions/20244#learn_the_details
More details on github: 
https://github.com/dialogue-evaluation/RuOpinionNE-2024
👀
John6666