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).
ππΌ Excited to share our work on Speech Foundation Model for data crowdsourcing at COLING 2025 ππΌ
Our co-author Laurent Besacier (@laurent_besacie) at NAVER LABS Europe will be presenting -- don't miss it.
ππΌ Details: https://mt.fbk.eu/1-paper-accepted-at-coling-2025
Exciting news: @iwslt is co-located with #ACL2025NLP again this year! π
Interested in speech processing? Check out the new task on instruction following β any model can participate! π
π
Data release: April 1
β³ Submission deadline: April 15
Donβt miss it! π¬ #NLP #SpeechTech
Weekly pick from the #MeetweenScientificWatch: βVideo-SALMONN: Speech-enhanced audio-visual large language modelsβ β Redefining video comprehension with speech-aware AV-LLMs and groundbreaking QA accuracy. π₯π€π€
Iβm glad to announce that our work βHow "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?β has been accepted at the Transactions of @aclanthology (TACL)! π
The preprint is available here: