Papers with anaphora resolution
Chop and Change: Anaphora Resolution in Instructional Cooking Videos (2022.findings-aacl)
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| Challenge: | temporally evolving entities present challenges for anaphora resolution tasks . recipes provide rich source for referring expressions of transformed entities . |
| Approach: | They propose to use annotations to annotate recipes for anaphora resolution task . they propose to employ temporal features to improve anamorphic resolution . |
| Outcome: | The proposed annotation scheme improves the performance of the anaphora resolution task. |
ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain (2021.eacl-main)
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| Challenge: | Using a novel annotation scheme, we identify anaphoric references in chemical patents and determine the chemical relation between linked entities. |
| Approach: | They propose a neural approach to anaphora resolution based on coreference and bridging links in chemical patents. |
| Outcome: | The proposed framework can be used to identify anaphoric references in chemical patents and determine the chemical relation between linked entities. |
Approaches and Challenges for Resolving Different Representations of Fictional Characters for Chinese Novels (2024.lrec-main)
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| Challenge: | Existing automatic text analysis tools and models are often developed for generic, open-domain tasks, restricting in-depth literary studies. |
| Approach: | They adapt a state-of-the-art anaphora resolution model to resolve character representations in Chinese novels by making some modifications and train a widely used BERT fine-tuned model for speaker extraction as assistance. |
| Outcome: | The proposed model is modified to resolve character representations in Chinese novels and train a BERT fine-tuned model for speaker extraction as assistance. |
JFCKB: Japanese Feature Change Knowledge Base (L18-1)
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| Challenge: | constructing commonsense knowledge including connotational meanings is challenging . a recent study focused on denotation and connotations, but few studies focused on connotating meanings . |
| Approach: | They propose to construct a Japanese knowledge base where arguments in event sentences are associated with feature changes caused by events. |
| Outcome: | The proposed knowledge base is able to generate anaphora resolution tasks in Japanese . it is useful for computers to understand texts, but it is difficult to acquire it . |
Examining Citations of Natural Language Processing Literature (2020.acl-main)
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| Challenge: | citations of NLP papers have decreased in recent years, but long papers get three times as many citation as short papers . citation data from the ACL Anthology and Google Scholar can be used to understand the field and quantify the impact of different types of papers. |
| Approach: | They extract data from the ACL Anthology and Google Scholar to examine trends in citations of NLP papers. |
| Outcome: | The results show that only about 56% of the papers in AA are cited ten or more times . CL Journal has the most cited papers, but its citation dominance has lessened . |
Find-2-Find: Multitask Learning for Anaphora Resolution and Object Localization (2023.emnlp-main)
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| Challenge: | Existing systems require large number of accurate annotations, such as image-level labels and location-level labeling. |
| Approach: | They propose a joint anaphora resolution and object localization dataset targeting visual-linguistic ambiguity. |
| Outcome: | The proposed framework improves visual-linguistic alignment and object localization with one joint model compared to a strong single-task baseline. |
A Gold Anaphora Annotation Layer on an Eye Movement Corpus (L18-1)
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| Challenge: | Anaphora resolution is a complex process in which multiple linguistic factors play a role. |
| Approach: | They used annotated anaphorical pronouns from newspaper articles read by humans to model reading time of pronounes. |
| Outcome: | The proposed resource allows to study human anaphora resolution on natural data. |