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The "Fat Face" illusion: A robust adaptation for processing pairs of faces
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In: ISSN: 0042-6989 ; EISSN: 0042-6989 ; Vision Research ; https://hal.archives-ouvertes.fr/hal-03579276 ; Vision Research, Elsevier, 2022, 195, pp.108015. ⟨10.1016/j.visres.2022.108015⟩ (2022)
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| 2 |
Faculty of Arts Research Unit for Multilingualism and Cross- cultural Communication (RUMACCC) ...
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| 3 |
Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition ...
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| 4 |
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction ...
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| 5 |
EnvEdit: Environment Editing for Vision-and-Language Navigation ...
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| 6 |
Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
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| 7 |
Compilable Neural Code Generation with Compiler Feedback ...
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| 8 |
Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition ...
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| 9 |
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints ...
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| 10 |
An Adversarial Benchmark for Fake News Detection Models ...
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| 11 |
Processing Aspectual Agreement in a Language with Limited Morphological Inflection by Second Language Learners: An ERP Study of Mandarin Chinese
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In: Brain Sciences; Volume 12; Issue 5; Pages: 524 (2022)
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| 12 |
MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction
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In: Information; Volume 13; Issue 2; Pages: 91 (2022)
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| 13 |
Rapid Identification of Patients Eligible for Direct Emergent Computed Tomography Angiography during Acute Ischemic Stroke: The DARE-PACE Assessment
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In: Diagnostics; Volume 12; Issue 2; Pages: 511 (2022)
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| 14 |
Addressing Syntax-Based Semantic Complementation: Incorporating Entity and Soft Dependency Constraints into Metonymy Resolution
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In: Future Internet; Volume 14; Issue 3; Pages: 85 (2022)
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| 15 |
Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2185 (2022)
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| 16 |
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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Abstract:
Named entity recognition (NER) is a task that seeks to recognize entities in raw texts and is a precondition for a series of downstream NLP tasks. Traditionally, prior NER models use the sequence labeling mechanism which requires label dependency captured by the conditional random fields (CRFs). However, these models are prone to cascade label misclassifications since a misclassified label results in incorrect label dependency, and so some following labels may also be misclassified. To address the above issue, we propose S-NER, a span-based NER model. To be specific, S-NER first splits raw texts into text spans and regards them as candidate entities; it then directly obtains the types of spans by conducting entity type classifications on span semantic representations, which eliminates the requirement for label dependency. Moreover, S-NER has a concise neural architecture in which it directly uses BERT as its encoder and a feed-forward network as its decoder. We evaluate S-NER on several benchmark datasets across three domains. Experimental results demonstrate that S-NER consistently outperforms the strongest baselines in terms of F1-score. Extensive analyses further confirm the efficacy of S-NER.
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Keyword:
BERT; named entity recognition; span-based model
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URL: https://doi.org/10.3390/s22082852
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| 17 |
Students’ Attitudes and Competences in Modeling Using 3D Cartoon Toy Design Maker
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In: Sustainability; Volume 14; Issue 4; Pages: 2176 (2022)
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| 18 |
Cumulative Effects of Physical, Chemical, and Biological Measures on Algae Growth Inhibition
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In: Water; Volume 14; Issue 6; Pages: 877 (2022)
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| 19 |
Predicting the Success of Internet Social Welfare Crowdfunding Based on Text Information
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1572 (2022)
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| 20 |
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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