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Hits 121 – 140 of 2.974

121
Scaling Within Document Coreference to Long Texts ...
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122
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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123
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
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124
Prefix-Tuning: Optimizing Continuous Prompts for Generation ...
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125
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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126
Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
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127
Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL ...
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128
15D: Summarization #2 ...
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129
Detecting Gender Bias using Explainability ...
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130
Explanations for CommonsenseQA: New Dataset and Models ...
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131
Societal Biases in Language Generation: Progress and Challenges ...
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132
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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133
Blindness to Modality Helps Entailment Graph Mining ...
Abstract: Understanding linguistic modality is widely seen as important for downstream tasks such as Question Answering and Knowledge Graph Population. Entailment Graph learning might also be expected to benefit from attention to modality. We build Entailment Graphs using a news corpus filtered with a modality parser, and show that stripping modal modifiers from predicates in fact increases performance. This suggests that for some tasks, the pragmatics of modal modification of predicates allows them to contribute as evidence of entailment. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Question-Answering Systems
URL: https://dx.doi.org/10.48448/y7np-1w64
https://underline.io/lecture/39461-blindness-to-modality-helps-entailment-graph-mining
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134
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation ...
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135
UserAdapter: Few-Shot User Learning in Sentiment Analysis ...
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136
9C: Question Answering #2 ...
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137
Characterizing Test Anxiety on Social Media ...
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138
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
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139
GEM: Natural Language Generation, Evaluation, and Metrics - Part 2 ...
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140
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings ...
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