Evaluating the Utility of Hand-crafted Features in Sequence Labelling

28 August 2018

Papers citing "Evaluating the Utility of Hand-crafted Features in Sequence Labelling"

8 / 8 papers shown

Title
Machine learning and deep learning Christian Janiesch Patrick Zschech Kai Heinrich 56 1,242 0 12 Apr 2021
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models Zhiyong He Zanbo Wang Wei Wei Shanshan Feng Xian-Ling Mao Sheng Jiang VLM 77 32 0 13 Nov 2020
Neural Modeling for Named Entities and Morphology (NEMO^2) Dan Bareket Reut Tsarfaty 67 32 0 30 Jul 2020
Code and Named Entity Recognition in StackOverflow Jeniya Tabassum Mounica Maddela Wei Xu Alan Ritter 134 119 0 04 May 2020
Self-Attention Gazetteer Embeddings for Named-Entity Recognition Stanislav Peshterliev Christophe Dupuy I. Kiss 146 8 0 08 Apr 2020
Neural Correction Model for Open-Domain Named Entity Recognition Mengdi Zhu Zheye Deng Wenhan Xiong Mo Yu Ming Zhang William Yang Wang 64 6 0 13 Sep 2019
How to best use Syntax in Semantic Role Labelling Yufei Wang Mark Johnson Stephen Wan Yifang Sun Wei Wang 54 26 0 01 Jun 2019
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging Barbara Plank Sigrid Klerke Zeljko Agic NAI 81 4 0 21 Nov 2018