On the Importance of Delexicalization for Fact Verification

On the Importance of Delexicalization for Fact Verification

21 September 2019

Sandeep Suntwal

Mitch Paul Mithun

Papers citing "On the Importance of Delexicalization for Fact Verification"

10 / 10 papers shown

Title
Combining Fact Extraction and Verification with Neural Semantic Matching Networks Yixin Nie Haonan Chen Joey Tianyi Zhou FedML 59 304 0 16 Nov 2018
Improving Machine Reading Comprehension with General Reading Strategies Kai Sun Dian Yu Dong Yu Claire Cardie AI4CE 73 116 0 31 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information Seonhoon Kim Inho Kang Nojun Kwak 63 217 0 29 May 2018
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings Bernd Bohnet Ryan T. McDonald Gonçalo Simões D. Andor Emily Pitler Joshua Maynez AI4CE 53 95 0 21 May 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform Matt Gardner Joel Grus Mark Neumann Oyvind Tafjord Pradeep Dasigi Nelson F. Liu Matthew E. Peters Michael Schmitz Luke Zettlemoyer VLM 86 1,283 0 20 Mar 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 145 1,657 0 14 Mar 2018
Enhanced LSTM for Natural Language Inference Qian Chen Xiao-Dan Zhu Zhenhua Ling Si Wei Hui Jiang Diana Inkpen LRM ReLM 101 1,130 0 20 Sep 2016
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 343 1,375 0 06 Jun 2016
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 558 27,311 0 01 Sep 2014