Closed niansong1996 closed 3 years ago
Given a dataset, automatically figure out the set of applicable models.
An example: Input: QMSum dataset (query-based, dialogue summarization) Output: all pipeline models that can deal with this setting (e.g., BM25 + HMNet; TFIDF + HMNet; BM25 + Flatten-dialogue + BART, etc)
query-based
dialogue summarization
This is WIP in #38
This is done with #38 being merged
Given a dataset, automatically figure out the set of applicable models.
An example: Input: QMSum dataset (
query-based
,dialogue summarization
) Output: all pipeline models that can deal with this setting (e.g., BM25 + HMNet; TFIDF + HMNet; BM25 + Flatten-dialogue + BART, etc)