Spoken responses produced by subjects during neuropsychological exams can provide
diagnostic markers beyond exam performance. In particular, characteristics of the spoken …

The opinion mining and human-agent interaction communities are currently addressing
sentiment analysis from different perspectives that comprise, on the one hand, disparate …

Effective human and automatic processing of speech requires recovery of more than just the
words. It also involves recovering phenomena such as sentence boundaries, filler words …

Enriching speech recognition output with sentence boundaries improves its human
readability and enables further processing by downstream language processing modules …

Sentence boundary detection in speech is important for enriching speech recognition output,
making it easier for humans to read and downstream modules to process. In previous work …

We present an end-to-end system for automatically scoring spoken responses to a narrative
recall test administered to seniors when screening for cognitive impairment. In Wechsler …

The popularity of social media among students and practitioners has encouraged marketing
educators to find ways to incorporate social media into their classrooms. We offer results …

This paper focuses on the tasks of recovering capitalization and punctuation marks from
texts without that information, such as spoken transcripts, produced by automatic speech …

While discourse markers (DMs) and (dis) fluency have been extensively studied in the past
as separate phenomena, corpus-based research combining large-scale yet fine-grained …

Automatic detection of disfluencies in spoken language is important for making speech
recognition output more readable, and for aiding downstream language processing …