Results 1 to 10 of about 760 (191)
Language Resources and EvaluationAbstract In this paper, we propose SEMCAT ( S emantic E valuation M etric C onforms to A MR T
Kyung Seo Ki, Bugeun Kim, Gahgene Gweon
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A Hybrid Neuro-Symbolic Pipeline for Coreference Resolution and AMR-Based Semantic Parsing
Information (Switzerland)Large Language Models (LLMs) have transformed Natural Language Processing (NLP), yet they continue to struggle with deep semantic understanding, particularly in tasks like coreference resolution and structured semantic inference.
Cleo Sgouropoulou +2 more
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Proceedings of the Language Resources and Evaluation ConferenceCurrent Abstract Meaning Representation (AMR) annotation guidelines, which largely tie argument structure to lexical rolesets, systematically misrepresent cases in which key semantic roles stem from clause-level structure rather than the verb, leaving these meanings either unnaturally attached, incorrect, or unexpressed.
Bonial, Claire +4 more
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The AMR-PT corpus and the semantic annotation of challenging sentences from journalistic and opinion texts [PDF]
DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada, 2023 One of the most popular semantic representation languages in Natural Language Processing (NLP) is Abstract Meaning Representation (AMR). This formalism encodes the meaning of single sentences in directed rooted graphs.
Marcio Lima Inácio +4 more
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Data Augmentation Method for AMR-to-Text Generation [PDF]
Jisuanji gongcheng, 2022 In the process of Abstract Meaning Representation(AMR)-to-text generation, the transformation from AMR graph to text is largely affected by the size of the corpus.A simple and effective dynamic data augmentation method is proposed to improve the ...
FU Yeqiang, LI Junhui
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Spanish Abstract Meaning Representation: Annotation of a General Corpus
Northern European Journal of Language Technology, 2022 Meaning Representation (AMR), originally designed for English, has been adapted to a number of languages to facilitate cross-lingual semantic representation and analysis. We build on previous work and present the first sizable, general annotation project
Shira Wein +6 more
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AMR-CNN: Abstract Meaning Representation with Convolution Neural Network for Toxic Content Detection
Journal of Web Engineering, 2022 Recognizing the offensive, abusive, and profanity of multimedia content on the web has been a challenge to keep the web environment for user’s freedom of speech. As profanity filtering function has been developed and applied in text, audio, and video context in platforms such as social media, entertainment, and education, the number of methods to trick
Ermal Elbasani, Jeong-Dong Kim
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Semantic subgraph predictive summary algorithm based on weighted AMR graph [PDF]
Jisuanji gongcheng, 2018 Most of the existing text abstract methods stay in the shallow semantic relationship between words and words,and do not make good use of the complete semantic information between words.Therefore,an improved algorithm for semantic subgraph predictive ...
MING Tuosiyu,CHEN Hongchang,HUANG Ruiyang,LIU Yang
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Análise Semântica com base em AMR para o Português
Linguamática, 2022 A Representação Abstrata de Significado (no inglês, Abstract Meaning Representation ---AMR) é um formalismo semântico projetado para capturar o significado de uma sentença, representando-a como um grafo direcionado acíclico de única raiz com nós ...
Rafael Torres Anchiêta +1 more
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XPTA: um parser AMR para o Português baseado em uma abordagem entre línguas
Linguamática, 2022 O crescente interesse pelo processamento semântico automático, especialmente por parte dos pesquisadores de Compreensão e de Geração de Língua Natural, tem levado a muitas pesquisas relacionadas ao desenvolvimento de parsers semânticos.
Eloize Seno +4 more
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