Automatic speech recognition (ASR) systems often need to be developed for extremely low-
resource languages to serve end-uses such as audio content categorization and search …

This paper presents three corpora of English, French and Spanish humanitarian documents
compiled with reports obtained from ReliefWeb through its API. ReliefWeb is a leading …

This paper describes the Situation Frame extraction pipeline developed by team ELISA as a
part of the DARPA Low Resource Languages for Emergent Incidents program. Situation …

In the age of information overload, the ability to automatically extract useful structured
information from texts is urgently needed by a wide range of applications, such as …

During the course of a Humanitarian Assistance-Disaster Relief (HADR) crisis, that can
happen anywhere in the world, real-time information is often posted online by the people in …

This paper describes a novel approach of multitask learning for an end-to-end optimization
technique for document classification. The application motivation comes from the need to …

This paper examines whether prosodic information is usefully indicative of urgency and
related attributes of situations in news broadcasts. We find that, in all 8 languages studied …

In topic identification (topic ID) on real-world unstructured audio, an audio instance of
variable topic shifts is first broken into sequential segments, and each segment is …