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COLING - 2020
Total Papers:- 1363
Total Papers accross all years:- 7736
Total Citations :- 0
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Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition
Terufumi Morishita |
Gaku Morio |
Shota Horiguchi |
Hiroaki Ozaki |
Toshinori Miyoshi |
Cross-lingual Semantic Representation for NLP with UCCA
Omri Abend |
Dotan Dvir |
Daniel Hershcovich |
Jakob Prange |
Nathan Schneider |
Do Neural Language Models Overcome Reporting Bias?
Vered Shwartz |
Yejin Choi |
Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection
Anushka Prakash |
Harish Tayyar Madabushi |
Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings
Yutao Zeng |
Xiaolong Jin |
Saiping Guan |
Jiafeng Guo |
Xueqi Cheng |
Identifying Annotator Bias: A new IRT-based method for bias identification
Jacopo Amidei |
Paul Piwek |
Alistair Willis |
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
Sopan Khosla |
Rishabh Joshi |
Ritam Dutt |
Alan W Black |
Yulia Tsvetkov |
Speech Disfluencies occur at Higher Perplexities
Priyanka Sen |
Tiny Word Embeddings Using Globally Informed Reconstruction
Sora Ohashi |
Mao Isogawa |
Tomoyuki Kajiwara |
Yuki Arase |
YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network
Xiaozhi Ou |
Shengyan Liu |
Hongling Li |
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities
Hao Zhang |
Jae Ro |
Richard Sproat |
PG-GSQL: Pointer-Generator Network with Guide Decoding for Cross-Domain Context-Dependent Text-to-SQL Generation
Huajie Wang |
Mei Li |
Lei Chen |
Hitachi at SemEval-2020 Task 10: Emphasis Distribution Fusion on Fine-Tuned Language Models
Gaku Morio |
Terufumi Morishita |
Hiroaki Ozaki |
Toshinori Miyoshi |
DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings
Christin Beck |
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning
Chunyuan Yuan |
Qianwen Ma |
Wei Zhou |
Jizhong Han |
Songlin Hu |
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