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| A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss | Jul 5, 2018 | Abstractive Text SummarizationSentence | CodeCode Available | 0 | 5 |
| Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text | Dec 4, 2015 | Semantic ParsingSentence | CodeCode Available | 0 | 5 |
| Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation | Jun 13, 2018 | ArticlesFeature Engineering | CodeCode Available | 0 | 5 |
| Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence Position | Dec 4, 2019 | ClusteringDocument Summarization | CodeCode Available | 0 | 5 |
| A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss | May 16, 2018 | Abstractive Text SummarizationSentence | CodeCode Available | 0 | 5 |
| A Unified Linear-Time Framework for Sentence-Level Discourse Parsing | May 14, 2019 | Discourse ParsingSentence | CodeCode Available | 0 | 5 |
| Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss | Jun 8, 2024 | Contrastive LearningSemantic Textual Similarity | CodeCode Available | 0 | 5 |
| Exploring the Syntactic Abilities of RNNs with Multi-task Learning | Jun 12, 2017 | CCG SupertaggingLanguage Modeling | CodeCode Available | 0 | 5 |
| An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models | Apr 6, 2020 | Sentence | CodeCode Available | 0 | 5 |