InferEM: Inferring the Speaker's Intention for Empathetic Dialogue Generation. (arXiv:2212.06373v7 [cs.CL] UPDATED)
The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages. (arXiv:2208.04568v2 [cs.CL] UPDATED)
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. (arXiv:2206.10498v4 [cs.CL] UPDATED)
Neuradicon: operational representation learning of neuroimaging reports. (arXiv:2107.10021v2 [cs.CL] UPDATED)
Learning From How Humans Correct. (arXiv:2102.00225v17 [cs.CL] UPDATED)
Automatically Finding and Categorizing Replication Studies. (arXiv:2311.15055v1 [cs.DL])
Detection of developmental language disorder in Cypriot Greek children using a machine learning neural network algorithm. (arXiv:2311.15054v1 [cs.CL])
nlpBDpatriots at BLP-2023 Task 2: A Transfer Learning Approach to Bangla Sentiment Analysis. (arXiv:2311.15032v1 [cs.CL])
nlpBDpatriots at BLP-2023 Task 1: A Two-Step Classification for Violence Inciting Text Detection in Bangla. (arXiv:2311.15029v1 [cs.CL])
Offensive Language Identification in Transliterated and Code-Mixed Bangla. (arXiv:2311.15023v1 [cs.CL])
E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. (arXiv:2311.15016v1 [cs.CL])
Walking a Tightrope -- Evaluating Large Language Models in High-Risk Domains. (arXiv:2311.14966v1 [cs.CL])
Vector-Quantized Prompt Learning for Paraphrase Generation. (arXiv:2311.14949v1 [cs.CL])
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning. (arXiv:2311.14919v1 [cs.CL])
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance. (arXiv:2311.14901v1 [cs.CL])
Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses. (arXiv:2311.14871v1 [cs.CL])
Improving Cross-Domain Hate Speech Generalizability with Emotion Knowledge. (arXiv:2311.14865v1 [cs.CL])
OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models. (arXiv:2311.14838v1 [cs.CL])
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion. (arXiv:2311.14836v1 [cs.SD])
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR. (arXiv:2311.14835v1 [cs.SD])
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