Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction

21 April 2020

Papers citing "Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction"

8 / 8 papers shown

Title
SG-Net: Syntax-Guided Machine Reading Comprehension Zhuosheng Zhang Yuwei Wu Junru Zhou Sufeng Duan Hai Zhao Rui Wang 60 187 0 14 Aug 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 882 93,936 0 11 Oct 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 142 8,067 0 16 Jun 2016
Variations of the Similarity Function of TextRank for Automated Summarization F. Barrios Federico López Luis Argerich Rosa Wachenchauzer 30 239 0 11 Feb 2016
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing A. Kumar Ozan Irsoy Peter Ondruska Mohit Iyyer James Bradbury Ishaan Gulrajani Victor Zhong Romain Paulus R. Socher 75 1,176 0 24 Jun 2015
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method Yoav Goldberg Omer Levy SSL 46 1,609 0 15 Feb 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 282 33,445 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 531 31,406 0 16 Jan 2013