Papers
Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts.
Sophie I. Arnoult, Lodewijk Petram, Piek Vossen
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes
Takahiro Kondo, Koki Washio, Katsuhiko Hayashi et al.
Bayesian Topic Regression for Causal Inference
Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess et al.
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
Nora Kassner, Oyvind Tafjord, Hinrich Schütze et al.
Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset
Tianqing Fang, Weiqi Wang, Sehyun Choi et al.
Benchmarking Meta-embeddings: What Works and What Does Not
Iker García-Ferrero, Rodrigo Agerri, German Rigau
“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?
Patricia Chiril, Farah Benamara, Véronique Moriceau
BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification
Zeguan Xiao, Jiarun Wu, Qingliang Chen et al.
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
Fei Tan, Yifan Hu, Kevin Yen et al.
BERT Cannot Align Characters
Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology
Luke Gessler, Nathan Schneider
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation
Haoran Xu, Benjamin Van Durme, Kenton Murray
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks
Tuan Lai, Heng Ji, ChengXiang Zhai
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos et al.
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
Bin Liang, Hang Su, Rongdi Yin et al.
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking
Dirk Väth, Pascal Tilli, Ngoc Thang Vu
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
Sneha Kudugunta, Yanping Huang, Ankur Bapna et al.
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
Ke Wang, Yangbin Shi, Jiayi Wang et al.
Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models
Gustavo Zomer, Ana Frankenberg-Garcia
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
Canwen Xu, Wangchunshu Zhou, Tao Ge et al.
Beyond Reptile: Meta-Learned Dot-Product Maximization between Gradients for Improved Single-Task Regularization
Akhil Kedia, Sai Chetan Chinthakindi, Wonho Ryu
Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs
Chenchen Ye, Linhai Zhang, Yulan He et al.
Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers
Shane Storks, Joyce Chai
BFClass: A Backdoor-free Text Classification Framework
Zichao Li, Dheeraj Mekala, Chengyu Dong et al.
Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction
Guimin Hu, Guangming Lu, Yi Zhao