@inproceedings{anwar-etal-2020-generating,
title = "Generating Lexical Representations of Frames using Lexical Substitution",
author = "Anwar, Saba and
Shelmanov, Artem and
Panchenko, Alexander and
Biemann, Chris",
editor = "Howes, Christine and
Chatzikyriakidis, Stergios and
Ek, Adam and
Somashekarappa, Vidya",
booktitle = "Proceedings of the Probability and Meaning Conference (PaM 2020)",
month = jun,
year = "2020",
address = "Gothenburg",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.pam-1.13",
pages = "95--103",
abstract = "Semantic frames are formal linguistic structures describing situations/actions/events, e.g. Commercial transfer of goods. Each frame provides a set of roles corresponding to the situation participants, e.g. Buyer and Goods, and lexical units (LUs) {--} words and phrases that can evoke this particular frame in texts, e.g. Sell. The scarcity of annotated resources hinders wider adoption of frame semantics across languages and domains. We investigate a simple yet effective method, lexical substitution with word representation models, to automatically expand a small set of frame-annotated sentences with new words for their respective roles and LUs. We evaluate the expansion quality using FrameNet. Contextualized models demonstrate overall superior performance compared to the non-contextualized ones on roles. However, the latter show comparable performance on the task of LU expansion.",
}
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<abstract>Semantic frames are formal linguistic structures describing situations/actions/events, e.g. Commercial transfer of goods. Each frame provides a set of roles corresponding to the situation participants, e.g. Buyer and Goods, and lexical units (LUs) – words and phrases that can evoke this particular frame in texts, e.g. Sell. The scarcity of annotated resources hinders wider adoption of frame semantics across languages and domains. We investigate a simple yet effective method, lexical substitution with word representation models, to automatically expand a small set of frame-annotated sentences with new words for their respective roles and LUs. We evaluate the expansion quality using FrameNet. Contextualized models demonstrate overall superior performance compared to the non-contextualized ones on roles. However, the latter show comparable performance on the task of LU expansion.</abstract>
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%0 Conference Proceedings
%T Generating Lexical Representations of Frames using Lexical Substitution
%A Anwar, Saba
%A Shelmanov, Artem
%A Panchenko, Alexander
%A Biemann, Chris
%Y Howes, Christine
%Y Chatzikyriakidis, Stergios
%Y Ek, Adam
%Y Somashekarappa, Vidya
%S Proceedings of the Probability and Meaning Conference (PaM 2020)
%D 2020
%8 June
%I Association for Computational Linguistics
%C Gothenburg
%F anwar-etal-2020-generating
%X Semantic frames are formal linguistic structures describing situations/actions/events, e.g. Commercial transfer of goods. Each frame provides a set of roles corresponding to the situation participants, e.g. Buyer and Goods, and lexical units (LUs) – words and phrases that can evoke this particular frame in texts, e.g. Sell. The scarcity of annotated resources hinders wider adoption of frame semantics across languages and domains. We investigate a simple yet effective method, lexical substitution with word representation models, to automatically expand a small set of frame-annotated sentences with new words for their respective roles and LUs. We evaluate the expansion quality using FrameNet. Contextualized models demonstrate overall superior performance compared to the non-contextualized ones on roles. However, the latter show comparable performance on the task of LU expansion.
%U https://aclanthology.org/2020.pam-1.13
%P 95-103
Markdown (Informal)
[Generating Lexical Representations of Frames using Lexical Substitution](https://aclanthology.org/2020.pam-1.13) (Anwar et al., PaM 2020)
ACL