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06/02/2023
Improved DeepFake Detection Using Whisper Features
With a recent influx of voice generation methods, the threat introduced ...
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04/26/2023
highway2vec – representing OpenStreetMap microregions with respect to their road network characteristics
Recent years brought advancements in using neural networks for represent...
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11/23/2022
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
The availability of compute and data to train larger and larger language...
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11/01/2021
Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data
Bicycle-sharing systems (BSS) have become a daily reality for many citiz...
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11/01/2021
Hex2vec – Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags
Representation learning of spatial and geographic data is a rapidly deve...
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11/01/2021
gtfs2vec – Learning GTFS Embeddings for comparing Public Transport Offer in Microregions
We selected 48 European cities and gathered their public transport timet...
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10/11/2021
Spatial Data Mining of Public Transport Incidents reported in Social Media
Public transport agencies use social media as an essential tool for comm...
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10/07/2020
WER we are and WER we think we are
Natural language processing of conversational speech requires the availa...
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10/06/2020
Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing
Recent work raises concerns about the use of standard splits to compare ...
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04/13/2020
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?
Automatic Speech Recognition (ASR) systems introduce word errors, which ...
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09/02/2019
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 sol...
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08/21/2019
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 recog...
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12/07/2018
LNEMLC: Label Network Embeddings for Multi-Label Classification
Multi-label classification aims to classify instances with discrete non-...
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12/07/2018
LNEMLC: Label Network Embeddings for Multi-Label Classifiation
Multi-label classification aims to classify instances with discrete non-...
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07/02/2018
Punctuation Prediction Model for Conversational Speech
An ASR system usually does not predict any punctuation or capitalization...
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04/27/2017
A Network Perspective on Stratification of Multi-Label Data
In the recent years, we have witnessed the development of multi-label cl...
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02/13/2017
Is a Data-Driven Approach still Better than Random Choice with Naive Bayes classifiers?
We study the performance of data-driven, a priori and random approaches ...
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02/05/2017
A scikit-based Python environment for performing multi-label classification
Scikit-multilearn is a Python library for performing multi-label classif...
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06/07/2016
