Towards reference-aware FrameNet representations: bridging generic and specific event knowledge

Gosse  Minnema; Levi Remijnse; Johan  Bos; Tommaso Caselli; Antske Fokkens; Malvina Nissim; Marten Postma; Piek Vossen

Towards reference-aware FrameNet representations: bridging generic and specific event knowledge

Gosse Minnema, Levi Remijnse, Johan Bos, Tommaso Caselli, Antske Fokkens, Malvina Nissim, Marten Postma, Piek Vossen

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper, we introduce the task of using FrameNet to link structured information about real-world events to the conceptual frames used in texts describing these events. We show that frames made relevant by the knowledge of the real-world event can be captured by complementing standard lexicon-driven FrameNet annotations with frame annotations derived through pragmatic inference. We propose a two-layered annotation scheme with a ‘strict’ FrameNet-compatible lexical layer and a ‘loose’ layer capturing frames that are inferred from referential data.

Original language	English
Title of host publication	Proceedings of the International FrameNet Workshop 2020
Subtitle of host publication	Towards a Global, Multilingual FrameNet
Publisher	European Language Resources Association (ELRA)
Pages	13-22
Number of pages	10
Publication status	Published - May 2020

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Minnema, G., Remijnse, L., Bos, J., Caselli, T., Fokkens, A., Nissim, M., Postma, M., & Vossen, P. (2020). Towards reference-aware FrameNet representations: bridging generic and specific event knowledge. In Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet (pp. 13-22). European Language Resources Association (ELRA). https://aclanthology.org/2020.framenet-1.3/

@inproceedings{53ac018f092048b18e4350e6c58afbb6,

title = "Towards reference-aware FrameNet representations: bridging generic and specific event knowledge",

abstract = "In this paper, we introduce the task of using FrameNet to link structured information about real-world events to the conceptual frames used in texts describing these events. We show that frames made relevant by the knowledge of the real-world event can be captured by complementing standard lexicon-driven FrameNet annotations with frame annotations derived through pragmatic inference. We propose a two-layered annotation scheme with a {\textquoteleft}strict{\textquoteright} FrameNet-compatible lexical layer and a {\textquoteleft}loose{\textquoteright} layer capturing frames that are inferred from referential data.",

author = "Gosse Minnema and Levi Remijnse and Johan Bos and Tommaso Caselli and Antske Fokkens and Malvina Nissim and Marten Postma and Piek Vossen",

year = "2020",

month = may,

language = "English",

pages = "13--22",

booktitle = "Proceedings of the International FrameNet Workshop 2020",

publisher = "European Language Resources Association (ELRA)",

}

Minnema, G, Remijnse, L, Bos, J, Caselli, T, Fokkens, A, Nissim, M, Postma, M & Vossen, P 2020, Towards reference-aware FrameNet representations: bridging generic and specific event knowledge. in Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet. European Language Resources Association (ELRA), pp. 13-22. <https://aclanthology.org/2020.framenet-1.3/>

Towards reference-aware FrameNet representations: bridging generic and specific event knowledge. / Minnema, Gosse ; Remijnse, Levi; Bos, Johan et al.
Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet. European Language Resources Association (ELRA), 2020. p. 13-22.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Remijnse, Levi

AU - Bos, Johan

AU - Caselli, Tommaso

AU - Fokkens, Antske

AU - Nissim, Malvina

AU - Postma, Marten

AU - Vossen, Piek

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AB - In this paper, we introduce the task of using FrameNet to link structured information about real-world events to the conceptual frames used in texts describing these events. We show that frames made relevant by the knowledge of the real-world event can be captured by complementing standard lexicon-driven FrameNet annotations with frame annotations derived through pragmatic inference. We propose a two-layered annotation scheme with a ‘strict’ FrameNet-compatible lexical layer and a ‘loose’ layer capturing frames that are inferred from referential data.

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M3 - Conference contribution

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EP - 22

BT - Proceedings of the International FrameNet Workshop 2020

PB - European Language Resources Association (ELRA)

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Towards reference-aware FrameNet representations: bridging generic and specific event knowledge

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