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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
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