ARISTOTELES

On this page we present sematic frames in FrameNet style for machine learning domain in XML format:

1. Algorithm
2. Data
3. Error
4. Experiment
5. Measure
6. ML_Task
7. Model
8. Task_Solution

We publish a corpus of annotated sentences from Machine Learning Journal for each Frame. It exists at most one sentence for a single article in our corpus. You can load files on FrameNet site https://framenet.icsi.berkeley.edu/fndrupal/annotation_tool
!!! It is gradually suplemented
Corpuses for frames:

1. Algorithm Corpus
2. Data Corpus
3. Error Corpus
4. Experiment Corpus
5. Measure Corpus
6. Task Corpus
7. Model Corpus
8. Task Solution Corpus