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Found 13 papers, 1 papers with code
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels
We present experimental results using the original and the proposed efficient LP-ICP on two English and one Czech language data-sets.
ICDAR 2021 Competition on Historical Map Segmentation
Task~2 consists in segmenting map content from the larger map sheet, and was won by the UWB team using a U-Net-like FCN combined with a binarization method to increase detection edge accuracy.
On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition
The performance of the proposed approach is consistent across these languages and it is comparable to the state-of-the-art results in English.
Re-ranking for Writer Identification and Writer Retrieval
We show that a re-ranking step based on k-reciprocal nearest neighbor relationships is advantageous for writer identification, even if only a few samples per writer are available.
Cross-lingual Approaches for Task-specific Dialogue Act Recognition
In this paper we exploit cross-lingual models to enable dialogue act recognition for specific tasks with a small number of annotations.
Multi-lingual Dialogue Act Recognition with Deep Learning Methods
Two multi-lingual models are proposed for this task.
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets
This paper describes our system created for the SemEval-2018 Task 1: Affect in Tweets (AIT-2018).
Czech Text Document Corpus v 2.0
This paper introduces "Czech Text Document Corpus v 2. 0", a collection of text documents for automatic document classification in Czech language.
The Impact of Figurative Language on Sentiment Analysis
Figurative language such as irony, sarcasm, and metaphor is considered a significant challenge in sentiment analysis.
Word Embeddings for Multi-label Document Classification
In this paper, we analyze and evaluate word embeddings for representation of longer texts in the multi-label classification scenario.
Enhanced Local Binary Patterns for Automatic Face Recognition
This descriptor considers a local neighbourhood of a pixel to compute the feature vector values.
Deep Neural Networks for Czech Multi-label Document Classification
This paper is focused on automatic multi-label document classification of Czech text documents.
