5 citations · 6 across the 2 of their papers we have counts for
4 papers
The Right Model for the Job: An Evaluation of Legal Multi-Label Classification Baselines
Martina Forster, Claudia Schulz, Prudhvi Nokku +3
Multi-Label Classification (MLC) is a common task in the legal domain, where more than one label may be assigned to a legal document. A wide range of methods can be applied, rangin…
Context-Aware Classification of Legal Document Pages
Pavlos Fragkogiannis, Martina Forster, Grace E. Lee +1
For many business applications that require the processing, indexing, and retrieval of professional documents such as legal briefs (in PDF format etc.), it is often essential to cl…
Determinantal Beam Search
Clara Meister, Martina Forster, Ryan Cotterell
Beam search is a go-to strategy for decoding neural sequence models. The algorithm can naturally be viewed as a subset optimization problem, albeit one where the corresponding set…
Searching for Search Errors in Neural Morphological Inflection
Martina Forster, Clara Meister, Ryan Cotterell
Neural sequence-to-sequence models are currently the predominant choice for language generation tasks. Yet, on word-level tasks, exact inference of these models reveals the empty s…