Search Results for author: Shane Sheehan

Found 4 papers, 2 papers with code

Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces

1 code implementation EACL (Hackashop) 2021 Blaž Škrlj, Shane Sheehan, Nika Eržen, Marko Robnik-Šikonja, Saturnino Luz, Senja Pollak

Large pretrained language models using the transformer neural network architecture are becoming a dominant methodology for many natural language processing tasks, such as question answering, text classification, word sense disambiguation, text completion and machine translation.

Machine Translation Pretrained Language Models +5

TeMoTopic: Temporal Mosaic Visualisation of Topic Distribution, Keywords, and Context

no code implementations EACL (Hackashop) 2021 Shane Sheehan, Saturnino Luz, Masood Masoodian

In this paper we present TeMoTopic, a visualization component for temporal exploration of topics in text corpora.

AttViz: Online exploration of self-attention for transparent neural language modeling

1 code implementation12 May 2020 Blaž Škrlj, Nika Eržen, Shane Sheehan, Saturnino Luz, Marko Robnik-Šikonja, Senja Pollak

Neural language models are becoming the prevailing methodology for the tasks of query answering, text classification, disambiguation, completion and translation.

Language Modelling text-classification +2

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