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1
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ...
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2
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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3
Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation ...
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4
Correcting Chinese Spelling Errors with Phonetic Pre-training ...
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5
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ...
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6
Including Signed Languages in Natural Language Processing ...
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7
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
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8
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
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9
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
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10
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.407 Abstract: Understanding linguistics and morphology of resource-scarce code-mixed texts remains a key challenge in text processing. Although word embedding comes in handy to support downstream tasks for low-resource languages, there are plenty of scopes in improving the quality of language representation particularly for code-mixed languages. In this paper, we propose HIT, a robust representation learning method for code-mixed texts. HIT is a hierarchical transformer-based framework that captures the semantic relationship among words and hierarchically learns the sentence-level semantics using a fused attention mechanism. HIT incorporates two attention modules, a multi-headed self-attention and an outer product attention module, and computes their weighted sum to obtain the attention weights. Our evaluation of HIT on one European (Spanish) and five Indic (Hindi, Bengali, Tamil, Telugu, and Malayalam) languages across four NLP tasks on eleven ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Neural Network; Semantics
URL: https://underline.io/lecture/26498-hit---a-hierarchically-fused-deep-attention-network-for-robust-code-mixed-language-representation
https://dx.doi.org/10.48448/p5mt-zn80
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11
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
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12
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ...
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13
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations ...
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14
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements ...
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15
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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16
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ...
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17
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy ...
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18
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ...
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19
Automated Concatenation of Embeddings for Structured Prediction ...
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20
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus ...
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