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).
Our pick of the week by @FBKZhihangXie: "#Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in #SpeechLLMs" by @WangDingdo2603, Junan Li, @HelenMeng_CUHK, et al. (#EMNLP2025)
#SLU #SpeechTech
๐ New paper: Speech Discrete Tokens or Continuous Features?
๐ https://aclanthology.org/2025.emnlp-main.1266.pdf
๐งฉ A comprehensive benchmark of SpeechLLMs using HuBERT/WavLM with Qwen & LLaMA.
โจ Continuous features outperform overall, while discrete tokens excel at phoneme-level detail.
๐ Exciting news from the @FBK_MT group!
Four of our members @BeatriceSavoldi, @lina_conti, @negri_teo & @luisabentivogli are attending #EMNLP2025 in Suzhou ๐จ๐ณ with 5 accepted papers!
Come to our sessions & let's connect:
๐ https://mt.fbk.eu/fbk-mt-at-emnlp-2025/
Weโre also hiring postdocs!โก
๐๐Congratulations to our PhD student @DennisFucci on a very successful thesis defense! ๐
Many thanks to the evaluation committee members @debora_nozza, @mirco_ravanelli, and Leonardo Badino for their insightful feedback and appreciation of his work!
#nlproc