Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes (N18-2)
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| Challenge: | Existing methods to identify instances of similar narratives are limited by annotated data. |
| Approach: | They propose a task for identifying instances of similar narratives from a collection of narrative texts. |
| Outcome: | The proposed approach yields an 8% absolute improvement over a baseline on a novel dataset of plot summaries of 577 movie remakes from Wikipedia. |
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Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues (2022.lrec-1)
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Sandhya Singh, Prapti Roy, Nihar Sahoo, Niteesh Mallela, Himanshu Gupta, Pushpak Bhattacharyya, Milind Savagaonkar, Nidhi Sultan, Roshni Ramnani, Anutosh Maitra, Shubhashis Sengupta
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| Challenge: | Cognitive science and symbolic AI research suggest that event causality provides vital information for story understanding. |
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| Challenge: | Text embeddings are a fundamental component in many NLP tasks, but their interpretation and explanation remain challenging. |
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| Challenge: | Algorithmic sequence alignment is a common operation in many NLP tasks, but it is difficult to recognize similarities between distant versions of narratives such as translations and retellings. |
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| Challenge: | a primary goal of narrative analysis is to represent essential dimensions of stories in a schematic manner. |
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Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding (2023.findings-emnlp)
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| Challenge: | Large language models (LLMs) excel in generating coherent texts, but their ability to comprehend the author’s thoughts remains uncertain. |
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