Nacionalni portal odprte znanosti

This paper presents an unsupervised method for counting references in noisy auto-transcribed political speeches. Transcriptions are vectorized using learned embeddings which are then clustered using k-means resulting in groups of words which represent highly granular, specific topics within the t ...