Tasks that ultimately require knowledge-based multimedia techniques (content-oriented search, assessment, abstracting, etc.) are still to a major extent carried out manually. PATExpert’s overall scientific goal is to change the paradigm currently followed for patent processing from textual (viewing patents as text blocks enriched by “canned” picture material, sequences of morpho-syntactic tokens, or collections of syntactic structures) to semantic (viewing patents as multimedia knowledge objects) processing. PATExpert developed a multimedia content representation formalism based on Semantic Web technologies for selected technology areas and investigate the retrieval, classification, multilingual generation of concise patent information, assessment and visualization of patent material encoded in this formalism, taking the information needs of all user types as defined in a user typology into account. PATExpert’s technological goal was to develop a showcase that demonstrates the viability of PATExpert’s approach to content representation for real applications. The composition and the competence of the Consortium ensured the achievement of these goals.
Our pick of the week by @mgaido91: "AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM" by @RuchaoFan, Bo Ren, Yuxuan Hu, Rui Zhao, Shujie Liu, Jinyu Li (2024).
#NLProc #Speech #instructionfollowing #zeroshot #speechtech #speechllm
AI is transforming cultural heritage, but what have we learned?
Come and join the #AI4Culture movement at our Final Conference on March 10 in Hilversum to explore AI’s current & future impact on cultural heritage.
Details & Registration: https://pretix.eu/EFHA/AI4Culture/
@EU_HaDEA
BOUQuET💐: an OPEN INITIATIVE aimed at building an evaluation dataset for massively multilingual text-to-text MT.
Let’s make MT available for any written language!
We are inviting everyone to contribute: ➡️
More details at: https://arxiv.org/abs/2502.04314
I am happy to announce that I will speak about our recent work "How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?" at the SlatorCon in March 🎊
📃 Preprint available here: