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1002 |
Dependency Induction Through the Lens of Visual Perception ...
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1003 |
Towards Syntax-Aware DialogueSummarization using Multi-task Learning ...
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1004 |
To be Closer: Learning to Link up Aspects with Opinions ...
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1005 |
Artificial Text Detection via Examining the Topology of Attention Maps ...
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1006 |
Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation ...
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1007 |
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling ...
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1008 |
Frequency Effects on Syntactic Rule Learning in Transformers ...
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1009 |
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees ...
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1010 |
Deconstructing syntactic generalizations with minimalist grammars ...
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1011 |
Disentangling Representations of Text by Masking Transformers ...
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1012 |
Multiplex Graph Neural Network for Extractive Text Summarization ...
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1013 |
On the Difficulty of Translating Free-Order Case-Marking Languages ...
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1014 |
Data Augmentation Methods for Anaphoric Zero Pronouns ...
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1015 |
Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.350/ Abstract: Paraphrases refer to texts that convey the same meaning with different expression forms. Pivot-based methods, also known as the round-trip translation, have shown promising results in generating high-quality paraphrases. However, existing pivot-based methods all rely on language as the pivot, where large-scale, high-quality parallel bilingual texts are required. In this paper, we explore the feasibility of using semantic and syntactic representations as the pivot for paraphrase generation. Concretely, we transform a sentence into a variety of different semantic or syntactic representations (including AMR, UD, and latent semantic representation), and then decode the sentence back from the semantic representations. We further explore a pretraining-based approach to compress the pipeline process into an end-to-end framework. We conduct experiments comparing different approaches with different kinds of pivots. Experimental results show ...
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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://underline.io/lecture/37480-revisiting-pivot-based-paraphrase-generation-language-is-not-the-only-optional-pivot https://dx.doi.org/10.48448/8q8r-fc38
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1016 |
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy ...
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1017 |
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction ...
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1018 |
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little ...
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1019 |
A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification ...
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1020 |
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map ...
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