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Relevant bibliographies by topics / Semantic pivot

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Journal articles

Academic literature on the topic 'Semantic pivot'

Author: Grafiati

Published: 20 April 2024

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Journal articles on the topic "Semantic pivot"

1

Li, Liang, Weirui Ye, Mingsheng Long, Yateng Tang, Jin Xu, and Jianmin Wang. "Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8220–27. http://dx.doi.org/10.1609/aaai.v34i05.6336.

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Cross-domain sentiment classification aims to leverage useful knowledge from a source domain to mitigate the supervision sparsity in a target domain. A series of approaches depend on the pivot features that behave similarly for polarity prediction in both domains. However, the engineering of such pivot features remains cumbersome and prevents us from learning the disentangled and transferable representations from rich semantic and syntactic information. Towards learning the pivots and representations simultaneously, we propose a new Transferable Pivot Transformer (TPT). Our model consists of t

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2

Velleman, Dan, David Beaver, Emilie Destruel, Dylan Bumford, Edgar Onea, and Liz Coppock. "It-clefts are IT (Inquiry Terminating) constructions." Semantics and Linguistic Theory 22 (September 3, 2012): 441. http://dx.doi.org/10.3765/salt.v22i0.2640.

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We offer a new analysis of the semantics of the English it-cleft, building on recent work on exclusive particles such as "only." The analysis emphasizes the discourse function of clefts — which, we claim, is to terminate a line of inquiry by marking an answer as complete. It accounts for the semantic effects — not previously appreciated — of focus placement within the cleft pivot. It also provides a solution to a previously discussed problem with the projection of exhaustivity from embedded contexts.

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3

Castro-Bleda, Maria Jose, Eszter Iklódi, Gábor Recski, and Gábor Borbély. "Towards a Universal Semantic Dictionary." Applied Sciences 9, no. 19 (2019): 4060. http://dx.doi.org/10.3390/app9194060.

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A novel method for finding linear mappings among word embeddings for several languages, taking as pivot a shared, multilingual embedding space, is proposed in this paper. Previous approaches learned translation matrices between two specific languages, while this method learns translation matrices between a given language and a shared, multilingual space. The system was first trained on bilingual, and later on multilingual corpora as well. In the first case, two different training data were applied: Dinu’s English–Italian benchmark data, and English–Italian translation pairs extracted from the

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4

David, P. "Using Pivot Consistency to Decompose and Solve Functional CSPs." Journal of Artificial Intelligence Research 2 (May 1, 1995): 447–74. http://dx.doi.org/10.1613/jair.167.

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Many studies have been carried out in order to increase thesearch efficiency of constraint satisfaction problems; among them,some make use of structural properties of the constraintnetwork; others take into account semantic properties of theconstraints, generally assuming that all the constraints possessthe given property. In this paper, we propose a new decompositionmethod benefiting from both semantic properties of functional constraints (not bijective constraints) and structuralproperties of the network; furthermore, not all the constraints needto be functional. We show that under some cond

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5

de Albuquerque, Anesmar Olino, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, et al. "Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data." Remote Sensing 12, no. 13 (2020): 2159. http://dx.doi.org/10.3390/rs12132159.

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The center pivot irrigation system (CPIS) is a modern irrigation technique widely used in precision agriculture due to its high efficiency in water consumption and low labor compared to traditional irrigation methods. The CPIS is a leader in mechanized irrigation in Brazil, with growth forecast for the coming years. Therefore, the mapping of center pivot areas is a strategic factor for the estimation of agricultural production, ensuring food security, water resources management, and environmental conservation. In this regard, digital processing of satellite images is the primary tool allowing

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6

Khamayseh, Faisal T. "Inferring Student's Chat Topic in Colloquial Arabic Text using Semantic Representation." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (2016): 1897. http://dx.doi.org/10.11591/ijece.v6i4.10403.

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Since the colloquial Arabic is now widespread it is required to describe the collection and classification of a multi-dialectal corpus of Arabic. Nowadays, colloquial multi-dialectal comes in almost country based forms such as Egyptian, Iraqi, Levantine, Tunisian, etc. This paper discusses a new method for analyzing the conversation of the educational chat room using Corpus for Palestinian Arabic and Stanford Tagger. This method represents the key words using semantic net-like representation to obtain the main subjects of the conversation. The main subject of the chat is obtained using the pro

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7

Khamayseh, Faisal T. "Inferring Student's Chat Topic in Colloquial Arabic Text using Semantic Representation." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (2016): 1897. http://dx.doi.org/10.11591/ijece.v6i4.pp1897-1906.

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Since the colloquial Arabic is now widespread it is required to describe the collection and classification of a multi-dialectal corpus of Arabic. Nowadays, colloquial multi-dialectal comes in almost country based forms such as Egyptian, Iraqi, Levantine, Tunisian, etc. This paper discusses a new method for analyzing the conversation of the educational chat room using Corpus for Palestinian Arabic and Stanford Tagger. This method represents the key words using semantic net-like representation to obtain the main subjects of the conversation. The main subject of the chat is obtained using the pro

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8

Zhang, Yiming, Haozheng Liu, Jiaming Feng, and Xu Zhang. "Innovative Label Embedding for Food Safety Comment Classification: Fusion of Self-Semantic and Self-Knowledge Features." HighTech and Innovation Journal 5, no. 1 (2024): 170–84. http://dx.doi.org/10.28991/hij-2024-05-01-013.

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Food safety comment classification represents a specialized task within the realm of text classification. The objective is to efficiently identify a large volume of food safety comments, aiding relevant authorities in timely food analysis and safety alerts. Traditional methods typically employ one-hot encoding for label processing. However, in real-world situations, classified labels often convey valuable semantic information and guidance. This paper introduces an innovative approach to enhance the classification performance of food safety comments by embedding label information. Initially, we

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9

Izre'el, Shlomo. "The syntax of existential constructions." Journal of Speech Sciences 11 (July 11, 2022): e022001. http://dx.doi.org/10.20396/joss.v11i00.16181.

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This study, in two parts, endeavors a novel analysis of existential constructions, based on a different theoretical setting of clause structure, where the predicate is taken as a necessary and sufficient constituent of the clause. Leaning on this perception, the analyses of existential constructions developed here tries to overcome the discrepancy between form and (semantic and informational) meaning in Hebrew existential constructions. The main part of the study deals with affirmative existential-presentative constructions, used to introduce referents into the discourse. Most of the construct

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10

Chen, Xinyu, Jiajie Xu, Rui Zhou, et al. "S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword search." GeoInformatica 24, no. 1 (2019): 3–25. http://dx.doi.org/10.1007/s10707-019-00372-z.

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