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Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes ...
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Wikily Supervised Neural Translation Tailored to Cross-Lingual Tasks ...
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103 |
Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization ...
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Sorting through the noise: Testing robustness of information processing in pre-trained language models ...
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Building the Directed Semantic Graph for Coherent Long Text Generation ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.200/ Abstract: Generating long text conditionally depending on the short input text has recently attracted more and more research efforts. Most existing approaches focus more on introducing extra knowledge to supplement the short input text, but ignore the coherence issue of the generated texts. To address aforementioned research issue, this paper proposes a novel twostage approach to generate coherent long text. Particularly, we first build a document-level path for each output text with each sentence embedding as its node, and a revised selforganising map (SOM) is proposed to cluster similar nodes of a family of document-level paths to construct the directed semantic graph. Then, three subgraph alignment methods are proposed to extract the maximum matching paths or subgraphs. These directed subgraphs are considered to well preserve extra but relevant content to the short input text, and then they are decoded by the employed pre-trained model to ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Generation
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URL: https://dx.doi.org/10.48448/sjn8-e552 https://underline.io/lecture/37975-building-the-directed-semantic-graph-for-coherent-long-text-generation
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Detect and Classify – Joint Span Detection and Classification for Health Outcomes ...
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Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation ...
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108 |
Evaluation of Summarization Systems across Gender, Age, and Race ...
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109 |
A Language Model-based Generative Classifier for Sentence-level Discourse Parsing ...
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Controllable Neural Dialogue Summarization with Personal Named Entity Planning ...
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Graphine: A Dataset for Graph-aware Terminology Definition Generation ...
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CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization ...
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114 |
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals ...
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Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ...
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Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration ...
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117 |
Error-Sensitive Evaluation for Ordinal Target Variables ...
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Data-to-text Generation by Splicing Together Nearest Neighbors ...
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Natural Language Processing Meets Quantum Physics: A Survey and Categorization ...
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