1 code implementation • NeurIPS 2021 • Benyou Wang, Emanuele Di Buccio, Massimo Melucci
Word meaning may change over time as a reflection of changes in human society.
no code implementations • 12 Jan 2021 • Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song
Thus the cognitive process exhibits "quantum-like" biases that cannot be captured by classical probability theories.
no code implementations • 15 Jul 2020 • Prayag Tiwari, Shahram Dehdashti, Abdul Karim Obeid, Massimo Melucci, Peter Bruza
In this paper, by mapping datasets to a set of non-linear coherent states, the process of encoding inputs in quantum states as a non-linear feature map is re-interpreted.
no code implementations • 20 Jan 2020 • Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci
A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory.
1 code implementation • NAACL 2019 • Qiuchi Li, Benyou Wang, Massimo Melucci
This paper seeks to model human language by the mathematical framework of quantum physics.
no code implementations • 4 Mar 2019 • Prayag Tiwari, Massimo Melucci
\ac{ML} helps us to recognize patterns from raw data.
1 code implementation • 26 Feb 2019 • Benyou Wang, Qiuchi Li, Massimo Melucci, Dawei Song
To address this issue, we propose a new framework that models different levels of semantic units (e. g. sememe, word, sentence, and semantic abstraction) on a single \textit{Semantic Hilbert Space}, which naturally admits a non-linear semantic composition by means of a complex-valued vector word representation.
no code implementations • 10 Oct 2018 • Prayag Tiwari, Massimo Melucci
Machine Learning has become very famous currently which assist in identifying the patterns from the raw data.