Natural Language Processing

Representing 'how you say' with 'what you say': English corpus of focused speech and text reflecting corresponding implications Interspeech 2022 Reproducibility and Automation of the Appraisal Taxonomy COLING 2022 Reproducibility Issues for BERT-based Evaluation Metrics EMNLP 2022 RES: An Interpretable Replicability Estimation System for Research Publications AAAI 2022 Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction EMNLP 2022 ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select EMNLP 2022 Residual Learning of Neural Text Generation with n-gram Language Model EMNLP 2022 Residue-Based Natural Language Adversarial Attack Detection NAACL 2022 Resilience of Named Entity Recognition Models under Adversarial Attack NAACL 2022 RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios NAACL 2022 Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities COLING 2022 Response Construct Tagging: NLP-Aided Assessment for Engineering Education NAACL 2022 Response Timing Estimation for Spoken Dialog System using Dialog Act Estimation Interspeech 2022 Restricted or Not: A General Training Framework for Neural Machine Translation ACL 2022 RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling AAAI 2022 Rethinking and Refining the Distinct Metric ACL 2022 Rethinking Data Augmentation in Text-to-text Paradigm COLING 2022 Rethinking Document-level Neural Machine Translation ACL 2022 Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sample Perspectives EMNLP 2022 Rethinking Negative Sampling for Handling Missing Entity Annotations ACL 2022 Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem ACL 2022 Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling ACL 2022 Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model EMNLP 2022 Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook EMNLP 2022 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022