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Found 8 papers, 6 papers with code
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech
The success of deep learning comes from its ability to capture the hierarchical structure of data by learning high-level representations defined in terms of low-level ones.
Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words
We investigate the performance on phoneme categorization and phoneme and word segmentation of several self-supervised learning (SSL) methods based on Contrastive Predictive Coding (CPC).
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw
We present a number of low-resource approaches to the tasks of the Zero Resource Speech Challenge 2021.
Named Entity Recognition and Linking Augmented with Large-Scale Structured Data
In this paper we describe our submissions to the 2nd and 3rd SlavNER Shared Tasks held at BSNLP 2019 and BSNLP 2021, respectively.
Aligned Contrastive Predictive Coding
We investigate the possibility of forcing a self-supervised model trained using a contrastive predictive loss to extract slowly varying latent representations.
A Talker Ensemble: the University of Wrocław's Entry to the NIPS 2017 Conversational Intelligence Challenge
We present Poetwannabe, a chatbot submitted by the University of Wroc{\l}aw to the NIPS 2017 Conversational Intelligence Challenge, in which it ranked first ex-aequo.
On Multilingual Training of Neural Dependency Parsers
We analyze the representations of characters and words that are learned by the network to establish which properties of languages were accounted for.
Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing
We present a dependency parser implemented as a single deep neural network that reads orthographic representations of words and directly generates dependencies and their labels.
