Cross-lingual Linking of Multi-word Entities and their corresponding Acronyms

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Kontsevich and Soibelman reformulated and slightly generalised the topological recursion of [43], seeing it as a quantisation of certain quadratic Lagrangians in T*V for some vector space V. KS topological recursion is a procedure which takes as initial da ...

The ability to reason, plan and solve highly abstract problems is a hallmark of human intelligence. Recent advancements in artificial intelligence, propelled by deep neural networks, have revolutionized disciplines like computer vision and natural language ...

This paper examines how the European press dealt with the no-vax reactions against the Covid-19 vaccine and the dis- and misinformation associated with this movement. Using a curated dataset of 1786 articles from 19 European newspapers on the anti-vaccine ...

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The sheaf-function correspondence identifies the group of constructible functions on a real analytic manifold M with the Grothendieck group of constructible sheaves on M. When M is a finite dimensional real vector space, Kashiwara-Schapira have recently in ...

Graph machine learning offers a powerful framework with natural applications in scientific fields such as chemistry, biology and material sciences. By representing data as a graph, we encode the prior knowledge that the data is composed of a set of entiti ...

Natural language processing has experienced significant improvements with the development of Transformer-based models, which employ self-attention mechanism and pre-training strategies. However, these models still present several obstacles. A notable issue ...

Neural machine translation (MT) and text generation have recently reached very high levels of quality. However, both areas share a problem: in order to reach these levels, they require massive amounts of data. When this is not present, they lack generaliza ...

Since the birth of Information Theory, researchers have defined and exploited various information measures, as well as endowed them with operational meanings. Some were born as a "solution to a problem", like Shannon's Entropy and Mutual Information. Other ...

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Machine Translation (MT) has made considerable progress in the past two decades, particularly after the introduction of neural network models (NMT). During this time, the research community has mostly focused on modeling and evaluating MT systems at the se ...

Cross-lingual Linking of Multi-word Entities and their corresponding Acronyms

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The ABCD of topological recursion

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework

Text as a Richer Source of Supervision in Semantic Segmentation Tasks

Dense Image-based Predictions for Comics Analysis

Persistence and the Sheaf-Function Correspondence

Equivariant Neural Architectures for Representing and Generating Graphs

Modeling Structured Data in Attention-based Models

Regularization Techniques for Low-Resource Machine Translation

A Functional Perspective on Information Measures

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

A Versatile Mapping Approach for Technology Mapping and Graph Optimization

Nature vs. Nurture: Feature vs. Structure for Graph Neural Networks

Kinesthetic motor-imagery training improves performance on lexical-semantic access

Graph Representation Learning with Optimal Transport: Analysis and Applications

Improved framework to estimate travel time and derived distributions in hydrological control volumes

Deep MinCut: Learning Node Embeddings by Detecting Communities

BMAT: An open-source BIDS managing and analysis tool

Graph Representation Learning in Computational Pathology

Discourse Phenomena in Machine Translation