Structured Learning

We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to another. We propose quasi- …...

This paper proposes a history-based struc- tured learning approach that jointly ex- tracts entities and relations in a sentence. We introduce a novel simple and flexible table representation of entities …...

. The article introduces a transition-based constituent parsing method relying on a deep-learning weighting scheme. This weighting method is compared to a structured percep- tron, which is a more traditional …...

. Structured prediction lies at the heart of modern Natural language Processing (NLP). In this paper, we study a specific family of structured learning algorithms, loosely refered to as “Learning-to-search” …...

AbstractFor many structured learning tasks, the data annotation process is complex and costly. Existing annotation schemes usually aim at acquiring completely annotated structures, under the common perception that partial structures …...