| Challenge: | Efforts to use the verb lexicon's semantic representations have revealed a need to revise the form to allow for greater flexibility in representing complex events. |
| Approach: | They propose to restrict the form to first-order representations to simplify use by planners and integrate with the Generative Lexicon's event structure. |
| Outcome: | The proposed representations simplify use by and integration with planners and allow for greater flexibility in representing complex events and for a more nuanced portrayal of the Agent's role. |
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| Challenge: | WordNets are lexical databases in which groups of synonyms are stored according to the semantic relationships between them. |
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| Challenge: | Yin and Neubig (2018) identify four key components of importance for natural language to code translation. |
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Textual Coverage of Eventive Entries in Lexical Semantic Resources (2024.lrec-main)
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| Challenge: | Lexical semantic change detection is a new and innovative research field. |
| Approach: | They propose to pre-train on large corpora and refine on diachronic target corpors to improve performance. |
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Event-Centric Natural Language Processing (2021.acl-tutorials)
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| Challenge: | This tutorial will provide an introduction to various methods for automating the extraction, conceptualization and prediction of events and their relations. |
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| Challenge: | a lack of a broad-coverage deep semantic lexicon hinders deep language understanding . we have developed a resource for verbs with the coverage of WordNet and syntactic and semantic details . |
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Corpus-based Identification of Verbs Participating in Verb Alternations Using Classification and Manual Annotation (2020.coling-main)
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Analysing Lexical Semantic Change with Contextualised Word Representations (2020.acl-main)
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Verb Alternations and Their Impact on Frame Induction (N18-4)
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