5 citations · 18 across the 8 of their papers we have counts for
9 papers
Discrete Denoising Diffusion Approach to Integer Factorization
Karlis Freivalds, Emils Ozolins, Guntis Barzdins
Integer factorization is a famous computational problem unknown whether being solvable in the polynomial time. With the rise of deep neural networks, it is interesting whether they…
Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe
Guntis Barzdins, Eduards Sidorovics
It has long been speculated that deep neural networks function by discovering a hierarchical set of domain-specific core concepts or patterns, which are further combined to recogni…
Multilingual Clustering of Streaming News
Sebastião Miranda, Artūrs Znotiņš, Shay B. Cohen +1
Clustering news across languages enables efficient media monitoring by aggregating articles from multilingual sources into coherent stories. Doing so in an online setting allows sc…
The Role of CNL and AMR in Scalable Abstractive Summarization for Multilingual Media Monitoring
Normunds Gruzitis, Guntis Barzdins
In the era of Big Data and Deep Learning, there is a common view that machine learning approaches are the only way to cope with the robust and scalable information extraction and s…
RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy
Guntis Barzdins, Didzis Gosko
Two extensions to the AMR smatch scoring script are presented. The first extension com-bines the smatch scoring script with the C6.0 rule-based classifier to produce a human-readab…
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project
Guntis Barzdins, Steve Renals, Didzis Gosko
The paper steps outside the comfort-zone of the traditional NLP tasks like automatic speech recognition (ASR) and machine translation (MT) to addresses two novel problems arising i…
Polysemy in Controlled Natural Language Texts
Normunds Gruzitis, Guntis Barzdins
Computational semantics and logic-based controlled natural languages (CNL) do not address systematically the word sense disambiguation problem of content words, i.e., they tend to…
FrameNet Resource Grammar Library for GF
Normunds Gruzitis, Peteris Paikens, Guntis Barzdins
In this paper we present an ongoing research investigating the possibility and potential of integrating frame semantics, particularly FrameNet, in the Grammatical Framework (GF) ap…
FrameNet CNL: a Knowledge Representation and Information Extraction Language
Guntis Barzdins
The paper presents a FrameNet-based information extraction and knowledge representation framework, called FrameNet-CNL. The framework is used on natural language documents and repr…