Natural Language Processing (NLP) driven categorisation and detection of discourse in historical US patents
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Natural Language Processing (NLP) has become increasingly utilized to provide adaptivity in educational applications. However, recent research has highlighted a variety of biases in pre-trained language models. While existing studies investigate bias in di ...
We discuss some properties of generative models for word embeddings. Namely, (Arora et al., 2016) proposed a latent discourse model implying the concentration of the partition function of the word vectors. This concentration phenomenon led to an asymptotic ...
Remote sensing visual question answering (RQA) was recently proposed with the aim of interfacing natural language and vision to ease the access of information contained in Earth Observation data for a wide audience, which is granted by simple questions in ...
Recent breakthroughs in deep learning often rely on representation learning and knowledge transfer. In recent years, unsupervised and self-supervised techniques for learning speech representation were developed to foster automatic speech recognition. Up to ...
EUROPEAN ASSOC SIGNAL SPEECH & IMAGE PROCESSING-EURASIP2021
Ne connaissant pas de loi sur les brevets d’invention avant 1888, la Suisse du XIXe siècle suit une trajectoire originale en Europe de l’Ouest. La première législation exclut les substances et les procédés chimiques par une clause qui ne paraît pas moins s ...
This dissertation studies the relationship between immigration and innovation. It adopts an empirical perspective and focuses on Switzerland, combining the use of patent data and immigration administrative records. The first essay is based on a novel datab ...
Topic models are useful tools for analyzing and interpreting the main underlying themes of large corpora of text. Most topic models rely on word co-occurrence for computing a topic, i.e., a weighted set of words that together represent a high-level semanti ...
Governments have strong incentives to allow their inventors to free ride on foreign technologies. They can achieve this result by discriminating against foreigners in the patent system-by refusing to grant foreigners a patent for their inventions. Internat ...
Most of the Natural Language Processing (NLP) algorithms involve use of distributed vector representations of linguistic units (primarily words and sentences) also known as embeddings in one way or another. These embeddings come in two flavours namely, sta ...
Modern patent systems are slow, inefficient, expensive, and may result in outcomes that actively harm technological progress. This paper proposes a substantive re-think of these systems and lays a foundation upon which practical solutions can be built. Man ...