Concept
Phrase
Related publications (12)
Event-related causality in stereo-EEG discriminates syntactic processing of noun phrases and verb phrases
Silvestro Micera, Fiorenzo Artoni
Objective. Syntax involves complex neurobiological mechanisms, which are difficult to disentangle for multiple reasons. Using a protocol able to separate syntactic information from sound information we investigated the neural causal connections evoked by t ...
IOP Publishing Ltd2023High gamma response tracks different syntactic structures in homophonous phrases
Silvestro Micera, Fiorenzo Artoni
Syntax is a species-specific component of human language combining a finite set of words in a potentially infinite number of sentences. Since words are by definition expressed by sound, factoring out syntactic information is normally impossible. Here, we c ...
NATURE PUBLISHING GROUP2020Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances"
Humor is an essential human trait. Efforts to understand humor have called out links between humor and the foundations of cognition, as well as the importance of humor in social engagement. As such, it is a promising and important subject of study, with re ...
ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2019End-to-end text-dependent speaker verification using novel distance measures
This paper explores novel ideas in building end-to-end deep neural network (DNN) based text-dependent speaker verification (SV) system. The baseline approach consists of mapping a variable length speech segment to a fixed dimensional speaker vector by esti ...
2018EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION
Model-based approaches to Speaker Verification (SV), such as Joint Factor Analysis (JFA), i-vector and relevance Maximum-a-Posteriori (MAP), have shown to provide state-of-the-art performance for text-dependent systems with fixed phrases. The performance o ...
Ieee2017Template Induction over Unstructured Email Corpora
Unsupervised template induction over email data is a central component in applications such as information extraction, document classification, and auto-reply. The benefits of automatically generating such templates are known for structured data, e.g. mach ...
International World Wide Web Conferences Steering Committee Republic and Canton of Geneva, Switzerland ©20172017Word Embeddings for Natural Language Processing
Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...
EPFL2016Building Word Embeddings for Solving Natural Language Processing
Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...
École Polytechnique Fédérale de Lausanne2016"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders
Rémi Philippe Lebret, Ronan Collobert
Recently, there has been a lot of effort to represent words in continuous vector spaces. Those representations have been shown to capture both semantic and syntactic information about words. However, distributed representations of phrases remain a challeng ...
Idiap2015