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Found 12 papers, 2 papers with code
Fall Detection using Knowledge Distillation Based Long short-term memory for Offline Embedded and Low Power Devices
This paper presents a cost-effective, low-power approach to unintentional fall detection using knowledge distillation-based LSTM (Long Short-Term Memory) models to significantly improve accuracy.
A Digital Corpus of St. Lawrence Island Yupik
St. Lawrence Island Yupik (ISO 639-3: ess) is an endangered polysynthetic language in the Inuit-Yupik language family indigenous to Alaska and Chukotka.
#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election
With social media often dictating the tones and trends of politics-related discussion, it is of paramount important to be able to study online chatter, especially in the run up to important voting events, like in the case of the upcoming November 3, 2020 U. S. Presidential Election.
Social and Information Networks
Improved Finite-State Morphological Analysis for St. Lawrence Island Yupik Using Paradigm Function Morphology
In this work, we present a re-implementation of the Chen {\&} Schwartz (2018) finite-state morphological analyzer for St. Lawrence Island Yupik that incorporates new linguistic insights; in particular, in this implementation we make use of the Paradigm Function Morphology (PFM) theory of morphology.
COVID-19: The First Public Coronavirus Twitter Dataset
At the time of this writing, the novel coronavirus (COVID-19) pandemic outbreak has already put tremendous strain on many countries' citizens, resources and economies around the world.
Social and Information Networks Populations and Evolution
Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik
The adaptation of neural approaches to NLP is a landmark achievement that has called into question the utility of linguistics in the development of computational systems.
Community lexical access for an endangered polysynthetic language: An electronic dictionary for St. Lawrence Island Yupik
If a user searches for an inflected Yupik word form, we perform a morphological analysis and return entries for the root word and for any derivational suffixes present in the word.
An Evaluation of the Human-Interpretability of Explanation
Recent years have seen a boom in interest in machine learning systems that can provide a human-understandable rationale for their predictions or decisions.
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation
Recent years have seen a boom in interest in machine learning systems that can provide a human-understandable rationale for their predictions or decisions.
