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Hits 141 – 160 of 3.937

141
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ...
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142
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy ...
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143
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ...
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144
Automated Concatenation of Embeddings for Structured Prediction ...
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145
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus ...
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146
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.98 Abstract: Training datasets for semantic parsing are typically small due to the higher expertise required for annotation than most other NLP tasks. As a result, models for this application usually need additional prior knowledge to be built into the architecture or algorithm. The increased dependency on human experts hinders automation and raises the development and maintenance costs in practice. This work investigates whether a generic transformer-based seq2seq model can achieve competitive performance with minimal code-generation-specific inductive bias design. By exploiting a relatively sizeable monolingual corpus of the target programming language, which is cheap to mine from the web, we achieved 81.03% exact match accuracy on Django and 32.57 BLEU score on CoNaLa. Both are SOTA to the best of our knowledge. This positive evidence highlights a potentially easier path toward building accurate semantic parsers in practice. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/xh3g-gp08
https://underline.io/lecture/25817-code-generation-from-natural-language-with-less-prior-knowledge-and-more-monolingual-data
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147
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers ...
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148
Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification ...
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149
Sequence Models for Computational Etymology of Borrowings ...
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150
Scaling Within Document Coreference to Long Texts ...
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151
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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152
Prefix-Tuning: Optimizing Continuous Prompts for Generation ...
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153
Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
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154
Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning ...
Brazilian Computer Society 2021. - : Underline Science Inc., 2021
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155
Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL ...
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156
Explanations for CommonsenseQA: New Dataset and Models ...
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157
Societal Biases in Language Generation: Progress and Challenges ...
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158
UserAdapter: Few-Shot User Learning in Sentiment Analysis ...
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159
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation ...
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160
Measuring and Increasing Context Usage in Context-Aware Machine Translation ...
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