Challenge: Inflectional corpora with annotated morpheme boundaries are scarce in the NLP community . a generated, multilingual inflectional lexicon with morphological features is not as good as UniMorph's .
Approach: They evaluate a multilingual inflectional corpus with morpheme boundaries from the English Wiktionary and the UniMorph project's inflection corpus.
Outcome: The generated Wikinflection corpus is not as good as UniMorph's, but extracts significant amount of words from the intersection of the two corpora.

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UniMorph 4.0: Universal Morphology (2022.lrec-1)

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Challenge: The Universal Morphology project provides broad-coverage instantiated morphological inflection tables for hundreds of diverse languages.
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Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages (2020.lrec-1)

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Challenge: Using morphosyntactic tools, we train and distribute tools for approximately one thousand languages.
Approach: They train and distribute morphosyntactic tools for approximately one thousand languages.
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The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

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Challenge: Until recently, language descriptions were available in paper form only, with indexes as the only search aid.
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UniMorph 2.0: Universal Morphology (L18-1)

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Challenge: The Universal Morphology project is a collaborative effort to improve how NLP handles complex morphology across the world's languages.
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UniMorph 3.0: Universal Morphology (2020.lrec-1)

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Challenge: Explicit modeling of morphology has demonstrable benefits for language modeling, speech recognition, word embedding and keyword search.
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Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers (2022.lrec-1)

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Challenge: resurgence of multimodal datasets has attracted significant research interest, but there is no comprehensive survey for this task.
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It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations (2020.acl-main)

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Challenge: Existing work on societal bias in NLP focuses on race and gender . linguistic background is a unique attribute that has been largely ignored in the field .
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Morphological Reinflection with Multiple Arguments: An Extended Annotation schema and a Georgian Case Study (2022.acl-short)

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Challenge: morphological annotations are a common problem in some languages, but the flat structure of the current schema makes it impossible to treat them.
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Morphological Inflection: A Reality Check (2023.acl-long)

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Challenge: Morphological inflection is a popular task in sub-word NLP with practical and cognitive applications.
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Morphology Without Borders: Clause-Level Morphology (2022.tacl-1)

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Challenge: Morphological tasks use large multi-lingual datasets that organize words into inflection tables . lack of a clear linguistic and operational definition of what is a word impairs universality of tasks .
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