Different aspects of language processing have been shown to be sensitive to priming but the findings of studies examining priming effects in adolescents with Autism Spectrum Disorder (ASD) and Developmental Language Disorder (DLD) have been inconclusive.
We present an approach to compute the monetary value of individual data points, in context of an automated decision system.
Predictive geometric models deliver excellent results for many Machine Learning use cases.
no code implementations • • Seid Muhie Yimam, Heiner Ulrich, von L, Tatiana esberger, Marcel Rosenbach, Michaela Regneri, Alex Panchenko, er, Franziska Lehmann, Uli Fahrer, Chris Biemann, Kathrin Ballweg
To attack the second challenge, recognizing composite activities, we leverage the fact that these activities are compositional and that the essential components of the activities can be obtained from textual descriptions or scripts.
Paraphrases and paraphrasing algorithms have been found of great importance in various natural language processing tasks.
Recent work has shown that the integration of visual information into text-based models can substantially improve model predictions, but so far only visual information extracted from static images has been used.