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NAACL - 2022
Total Papers:- 1323
Total Papers accross all years:- 6159
Total Citations :- 0
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Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss
Hanzhang Zhou |
Kezhi Mao |
Pretraining on Interactions for Learning Grounded Affordance Representations
Jack Merullo |
Dylan Ebert |
Carsten Eickhoff |
Ellie Pavlick |
Stanford MLab at SemEval 2022 Task 7: Tree- and Transformer-Based Methods for Clarification Plausibility
Thomas Yim |
Junha Lee |
Rishi Verma |
Scott Hickmann |
Annie Zhu |
Camron Sallade |
Ian Ng |
Ryan Chi |
Patrick Liu |
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their Descriptions
Sung-Min Lee |
Seung-Hoon Na |
taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning
Chen Tao |
Jung-jae Kim |
On Transferability of Prompt Tuning for Natural Language Processing
Yusheng Su |
Xiaozhi Wang |
Yujia Qin |
Chi-Min Chan |
Yankai Lin |
Huadong Wang |
Kaiyue Wen |
Zhiyuan Liu |
Peng Li |
Juanzi Li |
Lei Hou |
Maosong Sun |
Jie Zhou |
Generating Complement Data for Aspect Term Extraction with GPT-2
Amir Pouran Ben Veyseh |
Franck Dernoncourt |
Bonan Min and Thien Huu Nguyen |
Graph Neural Networks for Adapting Off-the-shelf General Domain Language Models to Low-Resource Specialised Domains
Merieme Bouhandi |
Emmanuel Morin |
Thierry Hamon |
HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity
Zihang Xu |
Ziqing Yang |
Yiming Cui |
Zhigang Chen |
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
Xiangru Tang |
Arjun Nair |
Borui Wang |
Bingyao Wang |
Jai Desai |
Aaron Wade |
Haoran Li |
Asli Celikyilmaz |
Yashar Mehdad |
Dragomir Radev |
Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
Sophie Jentzsch |
Cigdem Turan |
Hierarchical Transformers Are More Efficient Language Models
Piotr Nawrot |
Szymon Tworkowski |
MichaĆ Tyrolski |
Lukasz Kaiser |
Yuhuai Wu |
Christian Szegedy |
Henryk Michalewski |
Gender Bias in Masked Language Models for Multiple Languages
Masahiro Kaneko |
Aizhan Imankulova |
Danushka Bollegala |
Naoaki Okazaki |
Instilling Type Knowledge in Language Models via Multi-Task QA
Shuyang Li |
Mukund Sridhar |
Chandana Satya Prakash |
Jin Cao |
Wael Hamza |
Julian McAuley |
Socially Aware Bias Measurements for Hindi Language Representations
Vijit Malik |
Sunipa Dev |
Akihiro Nishi |
Nanyun Peng |
Kai-Wei Chang |
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