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Found 13 papers, 3 papers with code
Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification
The paper presents Anlirika’s submission to SIGTYP 2021 Shared Task on Robust Spoken Language Identification.
Demo of the Linguistic Field Data Management and Analysis System -- LiFE
The interface allows creation of multiple projects that could be shared with the other users.
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse
In this paper, we discuss the development of a multilingual dataset annotated with a hierarchical, fine-grained tagset marking different types of aggression and the "context" in which they occur.
How to Train Your Neural Network: A Comparative Evaluation
This phenomenon has spurred the development of algorithms for distributed training of neural networks over a larger number of hardware accelerators.
AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning
This has necessitated the development of efficient algorithms to train these neural networks in parallel on large-scale GPU-based clusters.
Domain Adaptation for Real-World Single View 3D Reconstruction
Results are performed with ShapeNet as the source domain and domains within the Object Dataset Domain Suite (ODDS) dataset as the target, which is a real world multiview, multidomain image dataset.
Learning to Map for Active Semantic Goal Navigation
We consider the problem of object goal navigation in unseen environments.
Stance Detection in Web and Social Media: A Comparative Study
Online forums and social media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances.
Developing a Multilingual Annotated Corpus of Misogyny and Aggression
In this paper, we discuss the development of a multilingual annotated corpus of misogyny and aggression in Indian English, Hindi, and Indian Bangla as part of a project on studying and automatically identifying misogyny and communalism on social media (the ComMA Project).
Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss
We show how agents trained with SQLoss evolve cooperative behavior in several social dilemma matrix games.
RoboNet: Large-Scale Multi-Robot Learning
This leads to a frequent tension in robotic learning: how can we learn generalizable robotic controllers without having to collect impractically large amounts of data for each separate experiment?
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool
Our study introduces CLEAN (CLinical note rEview and ANnotation), a pre-annotation-based cNLP annotation system to improve clinical note annotation of data elements, and comprehensively compares CLEAN with the widely-used annotation system Brat Rapid Annotation Tool (BRAT).
THE EFFECTIVENESS OF A TWO-LAYER NEURAL NETWORK FOR RECOMMENDATIONS
We present a personalized recommender system using neural network for recommending products, such as eBooks, audio-books, Mobile Apps, Video and Music.
