| 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. |
Similar Papers
Universal Anaphora: The First Three Years (2024.lrec-main)
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Massimo Poesio, Maciej Ogrodniczuk, Vincent Ng, Sameer Pradhan, Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Amir Zeldes, Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, Daniel Zeman
| Challenge: | Universal Anaphora initiative aims to push forward the state of the art in anaphora and anaphorism resolution by expanding the aspects of anaphonic interpretation which are or can be reliably annotated in an anagraphic corpora. |
| Approach: | They propose to develop a standard for anaphoric annotations and a method for evaluating models that can carry out this type of interpretation. |
| Outcome: | The Universal Anaphora initiative aims to push forward the state of the art in anaphora and anaphorism resolution by producing unified standards to annotate and encode annotations, delivering datasets encoded according to these standards, and developing methods for evaluating models that carry out this type of interpretation. |
Annotating Zero Anaphora for Question Answering (L18-1)
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| Challenge: | a large dataset of zero pronouns has been constructed to identify adjunct zero anaphoras . a lack of a dataset covering them has limited our ability to annotate them exhaustively . |
| Approach: | They propose to annotate adjuncts marked by -de in Japanese and a second scheme to annnotate them in a more direct manner. |
| Outcome: | The proposed annotation schemes are more accurate than the first one. |
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution (2020.coling-main)
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| Challenge: | a limitation of coreference resolution models is the focus on single-antecedent anaphors. |
| Approach: | They propose a model for unrestricted resolution of split-antecedent anaphors with multiple antecedents . they use auxiliary corpora where split-antcedent ananaphor was annotated by crowd . |
| Outcome: | The proposed model significantly improves on a baseline enhanced by BERT embeddings on anaphoric reference corpus. |
The Universal Anaphora Scorer (2022.lrec-1)
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| Challenge: | a new version of the Reference Coreference Scorer is proposed to evaluate anaphoric interpretations . the proposed approach to evaluation of split antecedent anaphorisms is entirely novel . |
| Approach: | They propose an extended version of the Reference Coreference Scorer to evaluate anaphoric interpretations . the UA scorer supports the evaluation of split antecedent anaphorisms and discourse deixis . |
| Outcome: | The proposed method can be used to evaluate anaphoric interpretations in an extended range of anas . it supports evaluations of split antecedent anaphorisms and discourse deixis, for which no tools exist . |
Dependency resolution at the syntax-semantics interface: psycholinguistic and computational insights on control dependencies (2023.acl-long)
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| Challenge: | Using psycholinguistic and computational experiments, we compare the ability of humans and several pre-trained masked language models to correctly identify control dependencies in Spanish sentences. |
| Approach: | They compare the ability of humans and several pre-trained masked language models to correctly identify control dependencies in Spanish sentences such as ‘José le prometió/ordenó a Mara ser ordenado/a’. |
| Outcome: | The models fail to identify the correct antecedent in non-adjacent dependencies, showing their reliance on linearity. |
MMAR: Multilingual and Multimodal Anaphora Resolution in Instructional Videos (2024.findings-emnlp)
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| Challenge: | Existing approaches to multilingual anaphora resolution include images and video inputs. |
| Approach: | They propose to include multimodal information in the form of images in anaphora resolution tasks. |
| Outcome: | The proposed approach improves resolution by 10% for unseen languages. |
NoEl: An Annotated Corpus for Noun Ellipsis in English (2020.lrec-1)
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| Challenge: | Ellipsis resolution is an important step to improve the accuracy of mainstream natural language processing tasks such as information retrieval, event extraction, dialog systems, etc. |
| Approach: | They extend the study of ellipsis by annotating a corpus for noun ellippsis and closely related phenomenon using the first hundred movies of Cornell Movie Dialogs Dataset. |
| Outcome: | The proposed corpus has 946 instances of exophoric and endophorical noun ellipsis, making it the biggest resource of nouns in English, to the best of our knowledge. |
Do Language Models Use Logophoric Cues? Evidence from Mandarin Chinese Long-Distance Reflexive (2026.findings-acl)
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| Challenge: | Using minimal pairs and surprisal-based measures, we assess whether large language models exhibit systematic biases toward non-local antecedents in logophoric contexts. |
| Approach: | They examine large language models’ sensitivity to four logophoric cues known to license long-distance binding of the reflexive ziji . |
| Outcome: | The proposed model families show that they exhibit above-chance sensitivity to all four cues, while lexically anchored cue are more robustly captured than discourse-level cue. |
Corpus Considerations for Annotator Modeling and Scaling (2024.naacl-long)
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| Challenge: | Recent trends in natural language processing and annotation tasks emphasize individual perspectives . annotator models that rely on a single ground truth may disregard valuable minority perspectives omissions . |
| Approach: | They propose a composite embedding approach to investigate annotator modeling techniques . they show that the commonly used user token model consistently outperforms more complex models . |
| Outcome: | The proposed model outperforms more complex models on a given dataset. |
Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution (2021.emnlp-main)
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| Challenge: | Masked language models have contributed to drastic performance improvements with regard to zero anaphora resolution (ZAR). |
| Approach: | They propose a pretraining task that trains MLMs on anaphoric relations with explicit supervision and a finetuning method that remedies a notorious discrepancy. |
| Outcome: | The proposed method improves zero anaphora resolution in Japanese ZAR . it uses a pretrain task and finetuning task to correct the discrepancy . |