Представление диапазона

AbstractWe introduce a general framework for several information extraction tasks that share span representations using dynamically constructed span graphs. The graphs are dynamically constructed by selecting the most confident entity …...

AbstractFor several natural language processing (NLP) tasks, span representation design is attracting considerable attention as a promising new technique; a common basis for an effective design has been established. With …...

AbstractWe examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction. Our framework (called DyGIE++) accomplishes all tasks by …...

State of the art end-to-end coreference reso- lution models use expensive span representa- tions and antecedent prediction mechanisms. These approaches are expensive both in terms of their memory requirements as …...

AbstractMany natural language processing tasks involve text spans and thus high-quality span representations are needed to enhance neural approaches to these tasks. Most existing methods of span representation are based …...