Papers with Sentence Ordering
Multilingual and Code-Switched Sentence Ordering (2024.starsem-1)
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| Challenge: | Prior research has focused on English language structures and multilingual contexts . however, there are several shortcomings with specialized sentence ordering models and advanced Large Language Models like GPT-4. |
| Approach: | They propose a multilingual sentence order task that extends SO to diverse narratives across 12 languages and code-switched texts. |
| Outcome: | The proposed task extends SO to diverse narratives across 12 languages, including challenging code-switched texts. |
Deep Attentive Sentence Ordering Network (D18-1)
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| Challenge: | Existing methods for sentence ordering tasks rely on linguistic knowledge and are domain specific. |
| Approach: | They propose a deep attentive sentence ordering network which integrates self-attention mechanism with LSTMs in the encoding of input sentences. |
| Outcome: | The proposed model outperforms the state-of-the-art models on Sentence Ordering and Order Discrimination tasks and is shown to be highly efficient. |