| Challenge: | linguistic, world and common sense knowledge is an important research area, but processing and storing it in lexical resources is not a straightforward task. |
| Approach: | They propose to use NLP methods to help process of constructing and enriching lexical resources and the use of lexicals for improving NLP applications. |
| Outcome: | The proposed approach aims to speed up and/or ease up the process of resource curation and enrichment. |
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Marcos Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro H. Martins, André F. T. Martins, Jessica Zosa Forde, Peter Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz
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Inferences for Lexical Semantic Resource Building with Less Supervision (2020.lrec-1)
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| Challenge: | lexical semantic resources may be built using various approaches such as extraction from corpora, integration of relevant pieces of knowledge from pre-existing knowledge resources and endogenous inference. |
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Using Wiktionary to Create Specialized Lexical Resources and Datasets (2022.lrec-1)
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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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Commonsense Reasoning for Natural Language Processing (2020.acl-tutorials)
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| Challenge: | In this tutorial, we will outline the various types of commonsense knowledge and discuss techniques to gather and represent commonsence knowledge. |
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Knowledge-Augmented Methods for Natural Language Processing (2022.acl-tutorials)
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| Challenge: | Knowledge in natural language processing (NLP) is a rising trend especially after the advent of large scale pre-trained models. |
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A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing (2022.aacl-tutorials)
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| Challenge: | a recent advent of pretrained language models has sparked a revolution in NLP . but, there are still questions about whether current approaches capture explicit, symbolic meaning . this tutorial will review efforts to tackle three key open problems in lexical and sentence-level semantics . |
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Lexical Resource Mapping via Translations (2022.lrec-1)
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| Challenge: | a lexical resource associates words with concepts in multiple languages, which makes it difficult to combine information from multiple resources. |
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