Papers
Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data
Jamar Sullivan Jr., Will Brackenbury, Andrew McNutt et al.
Explicit Graph Reasoning Fusing Knowledge and Contextual Information for Multi-hop Question Answering
Zhenyun Deng, Yonghua Zhu, Qianqian Qi et al.
Explicit Use of Topicality in Dialogue Response Generation
Takumi Yoshikoshi, Hayato Atarashi, Takashi Kodama et al.
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs
Ghazi Felhi, Joseph Le Roux, Djamé Seddah
Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering
Jeonghwan Kim, Junmo Kang, Kyung-min Kim et al.
Exploiting Social Media Content for Self-Supervised Style Transfer
Dana Ruiter, Thomas Kleinbauer, Cristina España-Bonet et al.
Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation
Yong Cao, Wei Li, Xianzhi Li et al.
Exploring Contrastive Learning for Multimodal Detection of Misogynistic Memes
Charic Farinango Cuervo, Natalie Parde
Exploring diversity in back translation for low-resource machine translation
Laurie Burchell, Alexandra Birch, Kenneth Heafield
Exploring Neural Models for Query-Focused Summarization
Jesse Vig, Alexander Fabbri, Wojciech Kryscinski et al.
Exploring Text Representations for Generative Temporal Relation Extraction
Dmitriy Dligach, Steven Bethard, Timothy Miller et al.
Exploring the Effect of Dialect Mismatched Language Models in Telugu Automatic Speech Recognition
Aditya Yadavalli, Ganesh Sai Mirishkar, Anil Vuppala
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros et al.
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
Lei Xu, Yangyi Chen, Ganqu Cui et al.
Exploring the Value of Multi-View Learning for Session-Aware Query Representation
Diego Ortiz, Jose Moreno, Gilles Hubert et al.
Exploring transformers and time lag features for predicting changes in mood over time
John Culnan, Damian Romero Diaz, Steven Bethard
Exposing the Limits of Video-Text Models through Contrast Sets
Jae Sung Park, Sheng Shen, Ali Farhadi et al.
ExSum: From Local Explanations to Model Understanding
Yilun Zhou, Marco Tulio Ribeiro, Julie Shah
Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations
Daniela Brook Weiss, Paul Roit, Ori Ernst et al.
Extracting Temporal Event Relation with Syntax-guided Graph Transformer
Shuaicheng Zhang, Qiang Ning, Lifu Huang
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization
Mengsay Loem, Sho Takase, Masahiro Kaneko et al.
Extreme Zero-Shot Learning for Extreme Text Classification
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh et al.
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source
Aman Kumar, Akshay Bharadwaj, Binil Starly et al.
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations
Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych et al.
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
David Wan, Mohit Bansal