Search Results for author:
Found 12 papers, 4 papers with code
Electoral Agitation Data Set: The Use Case of the Polish Election
Therefore, social media is full of electoral agitation (electioneering), especially during the election campaigns.
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
In this paper, we introduce LEPISZCZE (the Polish word for glew, the Middle English predecessor of glue), a new, comprehensive benchmark for Polish NLP with a large variety of tasks and high-quality operationalization of the benchmark.
Assessment of Massively Multilingual Sentiment Classifiers
We use these to assess 11 models and 80 high-quality sentiment datasets (out of 342 raw datasets collected) in 27 languages and included results on the internally annotated datasets.
Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections
Political advertisements constitute a basic form of campaigning, subjected to various social requirements.
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?
Automatic Speech Recognition (ASR) systems introduce word errors, which often confuse punctuation prediction models, turning punctuation restoration into a challenging task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings
Recently, a variety of model designs and methods have blossomed in the context of the sentiment analysis domain.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
Extracting Aspects Hierarchies using Rhetorical Structure Theory
We propose a novel approach to generate aspect hierarchies that proved to be consistently correct compared with human-generated hierarchies.
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF
We proposed a~new accurate aspect extraction method that makes use of both word and character-based embeddings.
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations
Avaya Conversational Intelligence(ACI) is an end-to-end, cloud-based solution for real-time Spoken Language Understanding for call centers.
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
In this paper, we present a method for correcting automatic speech recognition (ASR) errors using a finite state transducer (FST) intent recognition framework.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis
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 descriptive reports in natural language.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
WordNet2Vec: Corpora Agnostic Word Vectorization Method
Since WordNet embeds natural language in the form of a complex network, a transformation mechanism WordNet2Vec is proposed in the paper.
