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The Effect of Round-Trip Translation on Fairness in Sentiment Analysis ...
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MATE: Multi-view Attention for Table Transformer Efficiency ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.600/ Abstract: This work presents a sparse-attention Transformer architecture for modeling documents that contain large tables. Tables are ubiquitous on the web, and are rich in information. However, more than 20% of relational tables on the web have 20 or more rows (Cafarella et al., 2008), and these large tables present a challenge for current Transformer models, which are typically limited to 512 tokens. Here we propose MATE, a novel Transformer architecture designed to model the structure of web tables. MATE uses sparse attention in a way that allows heads to efficiently attend to either rows or columns in a table. This architecture scales linearly with respect to speed and memory, and can handle documents containing more than 8000 tokens with current accelerators. MATE also has a more appropriate inductive bias for tabular data, and sets a new state-of-the-art for three table reasoning datasets. For HybridQA (Chen et al., 2020b), a dataset ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis
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URL: https://underline.io/lecture/37326-mate-multi-view-attention-for-table-transformer-efficiency https://dx.doi.org/10.48448/fney-f862
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Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph ...
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Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection ...
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Comparative Opinion Quintuple Extraction from Product Reviews ...
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PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction ...
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Natural language processing as a tool to identify the Reddit particularities of cancer survivors around the time of diagnosis and remission: A pilot study ...
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A Large-Scale Dataset for Empathetic Response Generation ...
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YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews ...
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Sample Selection Guided by Domain and Task for Cross-Domain Targeted Sentiment Analysis ...
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Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training ...
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Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis ...
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Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge ...
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Unimodal and Crossmodal Refinement Network for Multimodal Sequence Fusion ...
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Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification ...
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Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model ...
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