4 papers
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…
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…