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HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
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Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
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Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation ...
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LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ...
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Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations ...
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How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements ...
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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ...
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Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy ...
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DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ...
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Automated Concatenation of Embeddings for Structured Prediction ...
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QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus ...
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Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.177 Abstract: We introduce the largest transcribed Arabic speech corpus, QASR, collected from the broadcast domain. This multi-dialect speech dataset contains 2,000 hours of speech sampled at 16kHz crawled from Aljazeera news channel. The dataset is released with lightly supervised transcriptions, aligned with the audio segments. Unlike previous datasets, QASR contains linguistically motivated segmentation, punctuation, speaker information among others. QASR is suitable for training and evaluating speech recognition systems, acoustics- and/or linguistics- based Arabic dialect identification, punctuation restoration, speaker identification, speaker linking, and potentially other NLP modules for spoken data. In addition to QASR transcription, we release a dataset of 130M words to aid in designing and training a better language model. We show that end-to-end automatic speech recognition trained on QASR reports a competitive word error rate compared to the ...
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Keyword:
Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
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URL: https://underline.io/lecture/25499-qasr-qcri-aljazeera-speech-resource-a-large-scale-annotated-arabic-speech-corpus https://dx.doi.org/10.48448/zw9z-5j45
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Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data ...
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On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers ...
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35 |
Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification ...
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Sequence Models for Computational Etymology of Borrowings ...
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How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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Prefix-Tuning: Optimizing Continuous Prompts for Generation ...
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Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL ...
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