| Challenge: | Existing systems that can detect multiple transitions in texts are ineffective due to the large amount of texts available. |
| Approach: | They propose a system that can detect multiple transitions in literary texts . they extend existing system so it can detect transitions, and introduce multiple transition topics . |
| Outcome: | The proposed system outperforms the existing system on texts with known transitions and on single boundary texts. |
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| Challenge: | Recent advances in scene segmentation have made it difficult to detect scenes in literary texts. |
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| Challenge: | a thesis aims to explore the use of event extraction in literary texts . event extraction is a challenging domain based on its variety of genres . |
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Literary Event Detection (P19-1)
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| Challenge: | a new dataset of literary events is presented to examine the nature of narratives . literature presents a number of challenges for existing systems, including complex narration . |
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Event Transition Planning for Open-ended Text Generation (2022.findings-acl)
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A Unifying Theory of Transition-based and Sequence Labeling Parsing (2020.coling-main)
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| Challenge: | Linear text segmentation is the task of automatically tagging text documents with topic shifts . the task is based on coherence modeling and/or local cues to identify topic boundaries . |
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Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers (2022.lrec-1)
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Genre Identification and the Compositional Effect of Genre in Literature (C18-1)
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Beyond Paragraphs: NLP for Long Sequences (2021.naacl-tutorials)
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| Challenge: | In this tutorial, we will introduce document-level representation learning techniques . document-based learning is challenging due to the limited sequence length of many models . |
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