16 citations · 30 across the 11 of their papers we have counts for
13 papers · 1 filter
Electoral Agitation Data Set: The Use Case of the Polish Election
Mateusz Baran, Mateusz Wójcik, Piotr Kolebski +4
The popularity of social media makes politicians use it for political advertisement. Therefore, social media is full of electoral agitation (electioneering), especially during the…
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
Łukasz Augustyniak, Szymon Woźniak, Marcin Gruza +4
Despite impressive advancements in multilingual corpora collection and model training, developing large-scale deployments of multilingual models still presents a significant challe…
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
Łukasz Augustyniak, Kamil Tagowski, Albert Sawczyn +9
The availability of compute and data to train larger and larger language models increases the demand for robust methods of benchmarking the true progress of LM training. Recent yea…
Assessment of Massively Multilingual Sentiment Classifiers
Krzysztof Rajda, Łukasz Augustyniak, Piotr Gramacki +3
Models are increasing in size and complexity in the hunt for SOTA. But what if those 2\% increase in performance does not make a difference in a production use case? Maybe benefits…
WER we are and WER we think we are
Piotr Szymański, Piotr Żelasko, Mikolaj Morzy +6
Natural language processing of conversational speech requires the availability of high-quality transcripts. In this paper, we express our skepticism towards the recent reports of v…
Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections
Łukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz +1
Political campaigns are full of political ads posted by candidates on social media. Political advertisements constitute a basic form of campaigning, subjected to various social req…
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?
Łukasz Augustyniak, Piotr Szymanski, Mikołaj Morzy +5
Automatic Speech Recognition (ASR) systems introduce word errors, which often confuse punctuation prediction models, turning punctuation restoration into a challenging task. These…
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…
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
Piotr Żelasko, Jan Mizgajski, Mikołaj Morzy +4
In this paper, we present a method for correcting automatic speech recognition (ASR) errors using a finite state transducer (FST) intent recognition framework. Intent recognition i…
Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis
Łukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz
This paper fills a gap in aspect-based sentiment analysis and aims to present a new method for preparing and analysing texts concerning opinion and generating user-friendly descrip…
WordNet2Vec: Corpora Agnostic Word Vectorization Method
Roman Bartusiak, Łukasz Augustyniak, Tomasz Kajdanowicz +2
A complex nature of big data resources demands new methods for structuring especially for textual content. WordNet is a good knowledge source for comprehensive abstraction of natur…