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COLING - 2020
Total Papers:- 1363
Total Papers accross all years:- 7736
Total Citations :- 0
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Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model
Sungrae Park |
Geewook Kim |
Junyeop Lee |
Junbum Cha |
Ji-Hoon Kim |
Hwalsuk Lee |
Graph-based Syntactic Word Embeddings
Ragheb Al-Ghezi |
Mikko Kurimo |
Knowledge Graph Embeddings in Geometric Algebras
Chengjin Xu |
Mojtaba Nayyeri |
Yung-Yu Chen |
Jens Lehmann |
UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis
George-Alexandru Vlad |
George-Eduard Zaharia |
Dumitru-Clementin Cercel |
Costin Chiru |
Stefan Trausan-Matu |
Sequence to Sequence Coreference Resolution
Gorka Urbizu |
Ander Soraluze |
Olatz Arregi |
Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System
Hiroaki Takatsu |
Ryota Ando |
Yoichi Matsuyama |
Tetsunori Kobayashi |
A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English
Marius Mosbach |
Stefania Degaetano-Ortlieb |
Marie-Pauline Krielke |
Badr M. Abdullah |
Dietrich Klakow |
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews
Hadeel Saadany |
Constantin Orasan |
FII-UAIC at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using CNN
Lavinia Aparaschivei |
Andrei Palihovici |
Daniela Gîfu |
IRLab_DAIICT at SemEval-2020 Task 12: Machine Learning and Deep Learning Methods for Offensive Language Identification
Apurva Parikh |
Abhimanyu Singh Bisht |
Prasenjit Majumder |
Detection and Resolution of Rumors and Misinformation with NLP
Leon Derczynski |
Arkaitz Zubiaga |
What Can We Learn from Noun Substitutions in Revision Histories?
Talita Anthonio |
Michael Roth |
Conversational Machine Comprehension: a Literature Review
Somil Gupta |
Bhanu Pratap Singh Rawat |
Hong Yu |
Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions
Luke Gessler |
Shira Wein |
Nathan Schneider |
Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension
Xuemiao Zhang |
Kun Zhou |
Sirui Wang |
Fuzheng Zhang |
Zhongyuan Wang |
Junfei Liu |
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