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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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| 2 |
Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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| 3 |
AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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| 5 |
AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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| 6 |
AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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| 7 |
Reproducibility of the Experimental Result of BERT for Evidence Retrieval and Claim Verification ...
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| 8 |
Reproducibility of the Experimental Result of BERT for Evidence Retrieval and Claim Verification ...
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| 9 |
Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian
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In: Electronics; Volume 11; Issue 3; Pages: 374 (2022)
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| 10 |
MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2081 (2022)
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Abstract:
Recent years have brought an unprecedented and rapid development in the field of Natural Language Processing. To a large degree this is due to the emergence of modern language models like GPT-3 (Generative Pre-trained Transformer 3), XLNet, and BERT (Bidirectional Encoder Representations from Transformers), which are pre-trained on a large amount of unlabeled data. These powerful models can be further used in the tasks that have traditionally been suffering from a lack of material that could be used for training. Metaphor identification task, which is aimed at automatic recognition of figurative language, is one of such tasks. The metaphorical use of words can be detected by comparing their contextual and basic meanings. In this work, we deliver the evidence that fully automatically collected dictionary definitions can be used as the optimal medium for retrieving the non-figurative word senses, which consequently may help improve the performance of the algorithms used in metaphor detection task. As the source of the lexical information, we use the openly available Wiktionary. Our method can be applied without changes to any other dataset designed for token-level metaphor detection given it is binary labeled. In the set of experiments, our proposed method (MIss RoBERTa WiLDe) outperforms or performs similarly well as the competing models on several datasets commonly chosen in the research on metaphor processing.
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Keyword:
figurative language; language models; lexical definitions; metaphor detection; RoBERTa; Sentence-BERT; Wiktionary
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URL: https://doi.org/10.3390/app12042081
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| 11 |
Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
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| 12 |
S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition
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In: Sensors; Volume 22; Issue 8; Pages: 2852 (2022)
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| 13 |
A Multitask Learning Framework for Abuse Detection and Emotion Classification
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In: Algorithms; Volume 15; Issue 4; Pages: 116 (2022)
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| 14 |
Visual and Phonological Feature Enhanced Siamese BERT for Chinese Spelling Error Correction
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4578 (2022)
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| 15 |
An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 8 (2022)
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| 16 |
A Lite Romanian BERT: ALR-BERT
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In: Computers; Volume 11; Issue 4; Pages: 57 (2022)
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| 17 |
Performance Study on Extractive Text Summarization Using BERT Models
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In: Information; Volume 13; Issue 2; Pages: 67 (2022)
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| 18 |
Analyzing COVID-19 Medical Papers Using Artificial Intelligence: Insights for Researchers and Medical Professionals
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 4 (2022)
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| 19 |
Leveraging Part-of-Speech Tagging Features and a Novel Regularization Strategy for Chinese Medical Named Entity Recognition
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In: Mathematics; Volume 10; Issue 9; Pages: 1386 (2022)
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| 20 |
Realistic Image Generation from Text by Using BERT-Based Embedding
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In: Electronics; Volume 11; Issue 5; Pages: 764 (2022)
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