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Hits 81 – 100 of 1.240

81
GEM: Natural Language Generation, Evaluation, and Metrics - Part 4 ...
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82
The statistical advantage of automatic NLG metrics at the system level ...
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83
Counter-Argument Generation by Attacking Weak Premises ...
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84
Supporting Cognitive and Emotional Empathic Writing of Students ...
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85
What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus ...
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86
Are Pretrained Convolutions Better than Pretrained Transformers? ...
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87
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ...
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88
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring ...
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89
Hate Speech Detection Based on Sentiment Knowledge Sharing ...
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90
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation ...
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91
Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction ...
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92
WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation ...
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93
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization ...
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94
How does Attention Affect the Model? ...
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95
Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance ...
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96
Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities ...
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97
Neural Machine Translation with Monolingual Translation Memory ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.567 Abstract: Prior work has proved that Translation Memory (TM) can boost the performance of Neural Machine Translation (NMT). In contrast to existing work that uses bilingual corpus as TM and employs source-side similarity search for memory retrieval, we propose a new framework that uses monolingual memory and performs learnable memory retrieval in a cross-lingual manner. Our framework has unique advantages. First, the cross-lingual memory retriever allows abundant monolingual data to be TM. Second, the memory retriever and NMT model can be jointly optimized for the ultimate translation goal. Experiments show that the proposed method obtains substantial improvements. Remarkably, it even outperforms strong TM-augmented NMT baselines using bilingual TM. Owning to the ability to leverage monolingual data, our model also demonstrates effectiveness in low-resource and domain adaptation scenarios. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/25690-neural-machine-translation-with-monolingual-translation-memory
https://dx.doi.org/10.48448/zxp6-y008
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98
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems ...
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99
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering ...
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100
Fine-Grained Spatial Information Extraction in Radiology as Two-turn Question Answering ...
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