Evaluating Multimodal Representations on Visual Semantic Textual Similarity

The combination of visual and textual representations has produced excellent results in tasks such as image captioning and visual question answering, but the inference capabilities of multimodal representations are largely untested. In the case of textual representations, inference tasks such as Textual Entailment and Semantic Textual Similarity have been often used to benchmark the quality of textual representations. The long term goal of our research is to devise multimodal representation techniques that improve current inference capabilities.

Google faculty research awards 2019

Google Faculty Research Awards is a program focused on supporting the world-class technical research in Computer Science, Engineering and related fields performed at academic institutions around the world. These awards give Google researchers the opportunity to partner with faculty who are doing impactful research, additionally covering tuition for a student.

Annotation guidelines for the Fact-Ita Bank Negation corpus

Fact-Ita Bank for FactA@EVALITA 2016 has been enriched with a new level of annotation, namely negation cues, their scope and their focus. Here we present the guidelines for negation information annotation.

INTELE: red estratégica para la promoción de las infraestructuras de tecnologías del lenguaje en ehumanidades y ciencias sociales

INTELE propone la creación de una red estratégica, constituida por los investigadores españoles que están relacionados, por su participación anterior y su interés actual, con las actuales infraestructuras europeas, ya constituidas como European Research Infrastructure Consortium o ERIC, para las humanidades: CLARIN (www.clarin.eu) y DARIAH (www.dariah.eu).

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