Based on the philosophy of the Semantic Web, Ontotext exploits text processing and automatic reasoning technologies to extract knowledge from texts and organise it conceptually in an ontology. Unlike common search engines, the Ontotext Portal directly accesses the concepts and entities of the ontology and presents the user with structured information instead of mere portions of texts. For each entity, the Ontotext Portal offers four different views: Articles (lists all the documents in which it is mentioned), Citografo (shows how often it is mentioned), Opinions (shows how often opinions are expressed about it), and Record (provides extra information about it).
Weekly pick from the #MeetweenScientificWatch: “Video-SALMONN: Speech-enhanced audio-visual large language models” – Redefining video comprehension with speech-aware AV-LLMs and groundbreaking QA accuracy. 🎥🎤🤖
I’m glad to announce that our work “How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?” has been accepted at the Transactions of @aclanthology (TACL)! 🎉
The preprint is available here:
The new @iwslt shared task on instruction following speech models is out! Test sets will be available on the 1st of April and participants have to submit their models by April 15th. Check out the description for more info (or get in touch with us):
📢First Call for Papers 📢
The 22nd @iwslt event will be co-located with @aclmeeting
31 July-1 August 2025 –Vienna, Austria
Scientific submission due March 15, 2025
More details here:
@marcfede @esalesk @ELRAnews @shashwatup9k @MarineCarpuat @_janius_