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EACL - 2021
Total Papers:- 761
Total Papers accross all years:- 2768
Total Citations :- 0
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Graph Convolutional Networks with Multi-headed Attention for Code-Mixed Sentiment Analysis
Suman Dowlagar |
Radhika Mamidi |
Findings of the Shared Task on Troll Meme Classification in Tamil
Shardul Suryawanshi |
Bharathi Raja Chakravarthi |
Explainable Detection of Sarcasm in Social Media
Ramya Akula |
Ivan Garibay |
Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis
Eben Holderness |
Antonio Jimeno Yepes |
Alberto Lavelli |
Anne-Lyse Minard |
James Pustejovsky |
Fabio Rinaldi |
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yolóxochitl Mixtec
Jiatong Shi |
Jonathan D. Amith |
Rey Castillo García |
Esteban Guadalupe Sierra |
Kevin Duh |
Shinji Watanabe |
A Neural Few-Shot Text Classification Reality Check
Thomas Dopierre |
Christophe Gravier |
Wilfried Logerais |
Identifying Named Entities as they are Typed
Ravneet Arora |
Chen-Tse Tsai |
Daniel Preotiuc-Pietro |
Gradual Fine-Tuning for Low-Resource Domain Adaptation
Haoran Xu |
Seth Ebner |
Mahsa Yarmohammadi |
Aaron Steven White |
Benjamin Van Durme |
Kenton Murray |
Predicting Treatment Outcome from Patient Texts:The Case of Internet-Based Cognitive Behavioural Therapy
Evangelia Gogoulou |
Magnus Boman |
Fehmi Ben Abdesslem |
Nils Hentati Isacsson |
Viktor Kaldo |
Magnus Sahlgren |
Joint Learning of Representations for Web-tables, Entities and Types using Graph Convolutional Network
Aniket Pramanick |
Indrajit Bhattacharya |
Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
Jill Burstein |
Andrea Horbach |
Ekaterina Kochmar |
Ronja Laarmann-Quante |
Claudia Leacock |
Nitin Madnani |
Ildikó Pilán |
Helen Yannakoudakis |
Torsten Zesch |
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
Endri Kacupaj |
Joan Plepi |
Kuldeep Singh |
Harsh Thakkar |
Jens Lehmann |
Maria Maleshkova |
Towards Hybrid Human-Machine Workflow for Natural Language Generation
Neslihan Iskender |
Tim Polzehl |
Sebastian Möller |
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
Tianxing He |
Bryan McCann |
Caiming Xiong |
Ehsan Hosseini-Asl |
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction
Jay Mundra |
Rohan Gupta |
Sagnik Mukherjee |
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