Search Results for author:
Found 11 papers, 4 papers with code
Universal Proposition Bank 2.0
Semantic role labeling (SRL) represents the meaning of a sentence in the form of predicate-argument structures.
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites
This paper reports on the ReINTEL Shared Task for Responsible Information Identification on social network sites, which is hosted at the seventh annual workshop on Vietnamese Language and Speech Processing (VLSP 2020).
Fine-tuning Pre-trained Contextual Embeddings for Citation Content Analysis in Scholarly Publication
Citation function and citation sentiment are two essential aspects of citation content analysis (CCA), which are useful for influence analysis, the recommendation of scientific publications.
Training Deep Networks with Stochastic Gradient Normalized by Layerwise Adaptive Second Moments
We propose NovoGrad, an adaptive stochastic gradient descent method with layer-wise gradient normalization and decoupled weight decay.
SimpleBooks: Long-term dependency book dataset with simplified English vocabulary for word-level language modeling
For example, LSTM models perform well on WikiText-2 but poorly on WikiText-103, while Transformer models perform well on WikiText-103 but not on WikiText-2.
EQSA: Earthquake Situational Analytics from Social Media
This paper introduces EQSA, an interactive exploratory tool for earthquake situational analytics using social media.
NeMo: a toolkit for building AI applications using Neural Modules
NeMo (Neural Modules) is a Python framework-agnostic toolkit for creating AI applications through re-usability, abstraction, and composition.
Ranked #1 on
Speech Recognition
on Common Voice Spanish
(using extra training data)
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
A Case Study on Meaning Representation for Vietnamese
This paper presents a case study on meaning representation for Vietnamese.
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks
We propose NovoGrad, an adaptive stochastic gradient descent method with layer-wise gradient normalization and decoupled weight decay.
Jasper: An End-to-End Convolutional Neural Acoustic Model
In this paper, we report state-of-the-art results on LibriSpeech among end-to-end speech recognition models without any external training data.
Ranked #3 on
Speech Recognition
on Hub5'00 SwitchBoard
Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq
We present OpenSeq2Seq - a TensorFlow-based toolkit for training sequence-to-sequence models that features distributed and mixed-precision training.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
