Automatic identification of discourse markers in dialogues: An in-depth study of like and well

The lexical items like and well can serve as discourse markers (DMs), but can also play numerous other roles, such as verb or adverb. Identifying the occurrences that function as DMs is an important step for language understanding by computers. In this study, automatic classifiers using lexical, prosodic/positional and sociolinguistic features are trained over transcribed dialogues, manually annotated with DM information. The resulting classifiers improve state-of-the-art performance of DM identification, at about 90% recall and 79% precision for like (84.5% accuracy, κ = 0.69), and 99% recall and 98% precision for well (97.5% accuracy, κ = 0.88). Automatic feature analysis shows that lexical collocations are the most reliable indicators, followed by prosodic/positional features, while sociolinguistic features are marginally useful for the identification of DM like and not useful for well. The differentiated processing of each type of DM improves classification accuracy, suggesting that these types should be treated individually.

All comers 5 french transfemoral percutaneous coronary intervention without sheath

There is an interest to keep the arterial access site for percutaneous coronary interventions (PCI) small. Using sheaths for introduction of arterial catheters is standard. The effective outer diameter of the usual introducer sheaths is about 1.5 French (F) larger than the labeled size. Omitting the sheath affords a smaller access without loss of working lumen.

Double-vessel coronary stenting via 5 french diagnostic catheters

The authors report on the use of 5 French diagnostic catheters to deliver a stent-on-a-wire system during a double vessel coronary intervention.