Word Sense Disambiguation (WSD) continues to be an open research problem in spite of recent advances in the NLP field, especially in machine learning. WSD for open-class words is well understood. However, WSD for closed class structural words (such as prepositions) is not so well resolved, ...
V. Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows. In Proc. 37th International Conference on Neural Information Processing Systems (eds Oh, A. et al.) 638–654 (Curran Associates, Inc., 2023). Norman-Haignere,...
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 Implementing Typed Feature Structure Grammars Muc...
FeatureStructure documentIdFs = metadata.createFS(idType); documentIdFs.setStringValue(idFeat, documentId); metadata.addFsToIndexes(documentIdFs); } 开发者ID:nlpie,项目名称:biomedicus,代码行数:23,代码来源: 示例3: copyPrimiteFeature ▲点赞 3▼ importorg.apache.uima.cas.FeatureStructure;//导入方...
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. ...
The structure of this paper is as follows: Background study is discussed in Section 2. Section 3 represents the proposed integration and indexing method, Section 4 is a discussion of the experimental evaluation and results. Conclusion of the proposed work is summarized in Section 5. 2. Backgrou...
The low-order feature structure obtained from such high-dimensional space using a signal processing technique could have more potential benefits and presumably avoid feature biasing in the learning framework. As is evident, discrete wavelet transformation (DWT) is a profound data processing approach for...
4.4 Model structure GE-theta 5 Conclussion 这篇论文是在SEnet基础上的更深入的研究,从上下文的角度出发,将attention模块分成G和E两个部分,并讨论了不同的G变体的优劣,提出了最优的 GE−θ+ ,能在增加少量参数的情况下取得最优的效果。GEnet不仅可以应用在分类任务,其他视觉任务如目标检测和分割上上也可以取得...
Semantic Labeling of Chinese Serial Verb Sentences Based on Feature Structure Parsing Chinese serial verb sentences is a key issue in NLP. Many controversies arise from serial verb sentences. This paper puts forward a novel model "th... C Bo,H Wu,L Chen,... - Springer Berlin Heidelberg 被...
As for the by-draw propagation. That is a feature that I definitely want to implement as this has repeatedly come up also in my own work. It is not that easy though because the internal brms structure is currently not meant for this. 👍 1 paul...