Papers
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task
Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang et al.
Learning a Grammar Inducer from Massive Uncurated Instructional Videos
Songyang Zhang, Linfeng Song, Lifeng Jin et al.
Learning an Artificial Language for Knowledge-Sharing in Multilingual Translation
Danni Liu, Jan Niehues
Learning Better Intent Representations for Financial Open Intent Classification
Xianzhi Li, Will Aitken, Xiaodan Zhu et al.
Learning Cooperative Interactions for Multi-Overlap Aspect Sentiment Triplet Extraction
Shiman Zhao, Wei Chen, Tengjiao Wang
Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations
Minh Van Nguyen, Bonan Min, Franck Dernoncourt et al.
Learning From Arabic Corpora But Not Always From Arabic Speakers: A Case Study of the Arabic Wikipedia Editions
Saied Alshahrani, Esma Wali, Jeanna Matthews
Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking
Yinghui Li, Shirong Ma, Qingyu Zhou et al.
Learning From the Source Document: Unsupervised Abstractive Summarization
Haojie Zhuang, Wei Emma Zhang, Jian Yang et al.
Learning Geolocations for Cold-Start and Hard-to-Resolve Addresses via Deep Metric Learning
Govind, Saurabh Sohoney
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
Yuxian Gu, Pei Ke, Xiaoyan Zhu et al.
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion
Yuling Li, Kui Yu, Xiaoling Huang et al.
Learning Invariant Representation Improves Robustness for MRC Models
Yu Hai, Liang Wen, Haoran Meng et al.
Learning Label Modular Prompts for Text Classification in the Wild
Hailin Chen, Amrita Saha, Shafiq Joty et al.
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
Peiyi Wang, Yifan Song, Tianyu Liu et al.
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
Erxin Yu, Lan Du, Yuan Jin et al.
Learning to Adapt to Low-Resource Paraphrase Generation
Zhigen Li, Yanmeng Wang, Rizhao Fan et al.
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
Ben Zhou, Kyle Richardson, Xiaodong Yu et al.
Learning to Detect Noisy Labels Using Model-Based Features
Zhihao Wang, Zongyu Lin, Junjie Wen et al.
Learning to Explain Selectively: A Case Study on Question Answering
Shi Feng, Jordan Boyd-Graber
Learning to Generate Overlap Summaries through Noisy Synthetic Data
Naman Bansal, Mousumi Akter, Shubhra Kanti Karmaker Santu
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation
Qifan Wang, Li Yang, Xiaojun Quan et al.
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
Mobashir Sadat, Cornelia Caragea
Learning to Model Editing Processes
Machel Reid, Graham Neubig
Learning to Model Multimodal Semantic Alignment for Story Visualization
Bowen Li, Thomas Lukasiewicz