Papers by Michael Fell
Italian NLP for Everyone: Resources and Models from EVALITA to the European Language Grid (2022.lrec-1)
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| Challenge: | European Language Grid enables researchers and practitioners to easily distribute and use NLP resources and models. |
| Approach: | They propose to integrate Italian NLP resources into the European Language Grid . they show how easy it is to use the integrated systems and demonstrate how seamless it is . |
| Outcome: | The European Language Grid enables researchers and practitioners to easily distribute and use NLP resources and models. |
Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics Annotations (2020.lrec-1)
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| Challenge: | a corpus of songs enriched with metadata extracted from music databases on the Web contains 1.73M songs with lyrics (1.41M unique lyrics) a researcher proposes methods to extract relevant information from lyrics, including their structure segmentation, topic, explicitness of lyrics content, salient passages of a song and emotions conveyed. |
| Approach: | They propose to extract relevant information from lyrics by using music databases . they propose to use metadata extracted from music databases to analyze lyrics . |
| Outcome: | The proposed methods can be exploited by music search engines and music professionals to better handle large collections of lyrics. |
Lyrics Segmentation: Textual Macrostructure Detection using Convolutions (C18-1)
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| Challenge: | Lyrics contain repeated patterns that are correlated with the repetitions found in the music they accompany. |
| Approach: | They propose to apply a convolutional neural network to a task to detect lyrics by using a neural network. |
| Outcome: | The proposed features improve the state-of-the-art in lyrics segmentation . a convolutional neural network is applied to the task and it is able to detect lyrics in different genres. |