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Meta Distant Transfer Learning for Pre-trained Language Models ...
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83 |
Improving Span Representation for Domain-adapted Coreference Resolution ...
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84 |
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media ...
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85 |
An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing ...
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Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy ...
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CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization ...
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Latent Hatred: A Benchmark for Understanding Implicit Hate Speech ...
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STaCK: Sentence Ordering with Temporal Commonsense Knowledge ...
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ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning ...
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94 |
Weakly supervised discourse segmentation for multiparty oral conversations ...
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95 |
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution ...
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Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.733/ Abstract: A key solution to temporal sentence grounding (TSG) exists in how to learn effective alignment between vision and language features extracted from an untrimmed video and a sentence description. Existing methods mainly leverage vanilla soft attention to perform the alignment in a single-step process. However, such single-step attention is insufficient in practice, since complicated relations between inter- and intra-modality are usually obtained through multi-step reasoning. In this paper, we propose an Iterative Alignment Network (IA-Net) for TSG task, which iteratively interacts inter- and intra-modal features within multiple steps for more accurate grounding. Specifically, during the iterative reasoning process, we pad multi-modal features with learnable parameters to alleviate the nowhere-to-attend problem of non-matched frame-word pairs, and enhance the basic co-attention mechanism in a parallel manner. To further calibrate the ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://dx.doi.org/10.48448/v1te-t762 https://underline.io/lecture/37283-progressively-guide-to-attend-an-iterative-alignment-framework-for-temporal-sentence-grounding
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Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation ...
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STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media ...
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IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation ...
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SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis ...
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