A Survey on Recent Advances in Sequence Labeling from Deep Learning Models

13 November 2020

Papers citing "A Survey on Recent Advances in Sequence Labeling from Deep Learning Models"

8 / 8 papers shown

Title
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifiers Nguyen Anh Tu Hoang Thi Thu Uyen Tu Minh Phuong Ngo Xuan Bach AILaw 18 1 0 27 Apr 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 13 6 0 22 Feb 2023
SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content Apurva Gandhi Ryan Serrao Biyi Fang Gilbert Antonius Jenna Hong ... Sheng Yi Ehimwenma Nosakhare Irene Shaffer Soundararajan Srinivasan Vikrant Gupta VLM 18 0 0 08 Nov 2022
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications Juan Pablo Zuluaga Karel Veselý Igor Szöke Alexander Blatt P. Motlícek ... Claudia Cevenini Pavel Kolcárek Allan Tart J. Černocký Dietrich Klakow 34 23 0 08 Nov 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 31 0 0 30 Oct 2022
Attending to Characters in Neural Sequence Labeling Models Marek Rei Gamal K. O. Crichton S. Pyysalo 35 187 0 14 Nov 2016
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 207 1,255 0 14 Nov 2016
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 242 31,257 0 16 Jan 2013