7 papers with code • 1 benchmarks • 1 datasets
In this work, we give general guidelines on system design for MRS by proposing a simple yet effective pipeline system with special consideration on hierarchical semantic retrieval at both paragraph and sentence level, and their potential effects on the downstream task.
A number of recent studies have started to investigate how speech systems can be trained on untranscribed speech by leveraging accompanying images at training time.
We propose a new shared task of semantic retrieval from legal texts, in which a so-called contract discovery is to be performed, where legal clauses are extracted from documents, given a few examples of similar clauses from other legal acts.
This layer is shown to minimize a penalized term of the Wasserstein distance between the learned continuous image features and the optimal half-half bit distribution.
We believe it is the right time to survey current status, learn from existing methods, and gain some insights for future development.
We compare the alignment performance using our proposed evaluation metrics to the semantic retrieval task commonly used to evaluate VGS models.