Feature structuresE-unificationAbstract rewriting systemsKnowledge representation and reasoningUnlike structural unification, E-unification of feature structures has, to the best of our knowledge, never been used in natural language processing (NLP). We formalize the concept of E-unification for feature ...
The cortical maps of hierarchical linguistic structures during speech perception. Cereb. Cortex 29, 3232–3240 (2019). Article Google Scholar Keshishian, M. et al. Joint, distributed and hierarchically organized encoding of linguistic features in the human auditory cortex. Nat. Hum. Behav. 7, ...
However, the rapid growth of these large data sets creates difficulties in learning heterogeneous data structures for integration and indexing. It also creates difficulty in information retrieval for the various data analysis requirements. In this paper, a probabilistic feature Patterns (PFP) approach ...
Feature learning, in the context of machine learning, is the automatic process through which a model identifies and optimizes key patterns, structures, or characteristics (called "features") from raw data to enhance its performance in a given task. It plays a pivotal role because, instead of m...
The Logic of Typed Feature Structures This book develops the theory of typed feature structures, a data structure that generalizes both first-order terms and feature structures of unification-b... RL Carpenter - 《Cambridge Tracts in Theoretical Computer Science》 被引量: 1307发表: 1992年 ...
Natural language processing (NLP) Sentiment analysis: uses features such as words, phrases, and sentence structures to analyze the emotional tendencies of text. Machine translation: uses features such as words, grammatical structure, and context to assist in machine translation. ...
开发者ID:nlpie,项目名称:biomedicus,代码行数:24,代码来源:XmiInputFileAdapter.java 示例2: CASDocument importorg.apache.uima.cas.FeatureStructure;//导入方法依赖的package包/类CASDocument(@NullableLabelAdapters labelAdapters, CAS cas, String documentId) {this.labelAdapters = labelAdapters;this.cas = ...
In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. DOI: https://doi.org/10.18653/v1/d18-1. Chan, Y. S., & Roth, D. (2011). Exploiting syntactico-semantic structures for relation extraction. In Proceedings of the 49th Annual Meeting of the ...
Similar to some structures of SEMFF-NER, the HGN method also achieves superior performance by combining global and local features. However, the multi-scale feature extraction and syntactic information integration of SEMFF-NER make it more accurate in recognizing complex entities, particularly when hand...
Masked autoencoders (MAE) have recently been introduced to 3D self-supervised pretraining for point clouds due to their great success in NLP and computer vision. Unlike MAEs used in the image domain, where the pretext task is to restore features at the masked pixels...