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21
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
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22
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
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23
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation ...
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24
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ...
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25
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations ...
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26
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.2 Abstract: Humor is an important social phenomenon, serving complex social and psychological functions. However, despite being studied for millennia humor is computationally not well understood, often considered an AI-complete problem. In this work, we introduce a novel setting in humor mining: automatically detecting funny and unusual scientific papers. We are inspired by the Ig Nobel prize, a satirical prize awarded annually to celebrate funny scientific achievements (example past winner: “Are cows more likely to lie down the longer they stand?”). This challenging task has unique characteristics that make it particularly suitable for automatic learning. We construct a dataset containing thousands of funny papers and use it to learn classifiers, combining findings from psychology and linguistics with recent advances in NLP. We use our models to identify potentially funny papers in a large dataset of over 630,000 articles. The results demonstrate the ...
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/y1w7-4z64
https://underline.io/lecture/25349-how-did-this-get-fundedquestion!-automatically-identifying-quirky-scientific-achievements
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27
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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28
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ...
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29
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy ...
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30
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ...
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31
Automated Concatenation of Embeddings for Structured Prediction ...
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32
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus ...
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33
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data ...
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34
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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36
Sequence Models for Computational Etymology of Borrowings ...
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37
Scaling Within Document Coreference to Long Texts ...
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38
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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39
Prefix-Tuning: Optimizing Continuous Prompts for Generation ...
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40
Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL ...
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