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.

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What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text (2022.findings-acl)

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Challenge: Current research on anaphora resolution is mostly based on declarative text, such as chemical patents or instruction manuals.
Approach: They propose a framework for anaphora annotation for the chemical domain for modeling anamorphic phenomena in recipes and chemical patents.
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Bridging resolution: Task definition, corpus resources and rule-based experiments (C18-1)

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Challenge: Recent work on bridging resolution has been based on the corpus ISNotes, as this was the only corpus available with unrestricted bridling annotations.
Approach: They propose a rule-based system to resolve bridging annotations in ISNotes corpus and apply it to new corpora.
Outcome: The proposed system achieves state-of-the-art performance on ISNotes corpus, but low performance on in-domain corpora.
Bridging Resolution: A Survey of the State of the Art (2020.coling-main)

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Challenge: bridging resolution is an anaphora resolution task that is less studied than entity coreference resolution.
Approach: This paper presents a survey of the current state of research on bridging resolution . it identifies and resolves bridling/associative anaphors, which are anamorphic references to non-identical associated antecedents.
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Enhanced Word Representations for Bridging Anaphora Resolution (N18-2)

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Challenge: Existing word representations do not capture semantic similarity for bridging anaphora resolution.
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A Deterministic Algorithm for Bridging Anaphora Resolution (D18-1)

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Challenge: Existing methods for bridging anaphora resolution only consider NPs’ head nouns and thus do not capture the semantics of NP.
Approach: They propose a deterministic approach to bridging anaphora resolution which represents the semantics of an NP based on its head noun and modifications.
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Annotation and Evaluation of Coreference Resolution in Screenplays (2021.findings-acl)

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Challenge: Screenplays refer to characters using different names, pronouns, and nominal expressions.
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Multitask Learning-Based Neural Bridging Reference Resolution (2020.coling-main)

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Challenge: Existing models for bridging references lack large corpora annotated with briding references . second challenge is different definitions of bridding used in different corpors .
Approach: They propose a multi-task learning-based neural model for bridging reference resolution . they show substantial improvements of up to 8 p.p. on full briding resolution compared to previous models .
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Bridging Resolution: Making Sense of the State of the Art (2021.naacl-main)

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Challenge: bridging resolution is a task that involves identifying and resolving bridling/associative anaphors, which are anamorphic references to non-identical associated antecedents.
Approach: They propose a hybrid rule-based and MTL approach that would enable a better understanding of their comparative strengths and weaknesses.
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End-to-End Neural Discourse Deixis Resolution in Dialogue (2022.emnlp-main)

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Challenge: Lexical overlap is a strong indicator of entity coreference, both among names and in the resolution of nominals.
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End-to-End AMR Coreference Resolution (2021.acl-long)

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Challenge: Existing work on AMR focuses on individual sentences, but there is a need for multi-sentence AMRs.
Approach: They propose to use an end-to-end AMR coreference resolution model to generate multi-sentence AMRs.
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