201 citations · 724 across the 34 of their papers we have counts for
5 papers · 1 filter
Extracting Aspects Hierarchies using Rhetorical Structure Theory
Łukasz Augustyniak, Tomasz Kajdanowicz, Przemysław Kazienko
We propose a novel approach to generate aspect hierarchies that proved to be consistently correct compared with human-generated hierarchies. We present an unsupervised technique us…
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF
Łukasz Augustyniak, Tomasz Kajdanowicz, Przemysław Kazienko
We proposed a~new accurate aspect extraction method that makes use of both word and character-based embeddings. We have conducted experiments of various models of aspect extraction…
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings
Łukasz Augustyniak, Tomasz Kajdanowicz, Przemysław Kazienko
Recently, a variety of model designs and methods have blossomed in the context of the sentiment analysis domain. However, there is still a lack of wide and comprehensive studies of…
FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings
Piotr Bielak, Kamil Tagowski, Maciej Falkiewicz +2
Representation learning on graphs has emerged as a powerful mechanism to automate feature vector generation for downstream machine learning tasks. The advances in representation on…
LNEMLC: Label Network Embeddings for Multi-Label Classification
Piotr Szymański, Tomasz Kajdanowicz, Nitesh Chawla
Multi-label classification aims to classify instances with discrete non-exclusive labels. Most approaches on multi-label classification focus on effective adaptation or transformat…