Results 1 to 10 of about 388,626 (336)

BertSRC: transformer-based semantic relation classification [PDF]

open access: yesBMC Medical Informatics and Decision Making, 2022
The relationship between biomedical entities is complex, and many of them have not yet been identified. For many biomedical research areas including drug discovery, it is of paramount importance to identify the relationships that have already been ...
Yeawon Lee, Jinseok Son, Min Song
doaj   +2 more sources

Differentiation of the Contribution of Familiarity and Recollection to the Old/New Effects in Associative Recognition: Insight from Semantic Relation [PDF]

open access: yesBrain Sciences, 2023
Previous research has revealed two different old/new effects, the early mid-frontal old/new effect (a.k.a., FN400) and the late parietal old/new effect (a.k.a., LPC), which relate to familiarity and recollection processes, respectively.
Aiqing Nie, Yuanying Wu
doaj   +2 more sources

Composite Semantic Relation Classification [PDF]

open access: yes, 2018
Different semantic interpretation tasks such as text entailment and question answering require the classification of semantic relations between terms or entities within text. However, in most cases it is not possible to assign a direct semantic relation between entities/terms.
Barzegar, Siamak   +3 more
arxiv   +8 more sources

Relational Argumentation Semantics [PDF]

open access: yesarXiv, 2021
In this paper, we propose a fresh perspective on argumentation semantics, to view them as a relational database. It offers encapsulation of the underlying argumentation graph, and allows us to understand argumentation semantics under a single, relational perspective, leading to the concept of relational argumentation semantics.
Arisaka, Ryuta, Ito, Takayuki
arxiv   +3 more sources

Joint Entity and Relation Extraction Network with Enhanced Explicit and Implicit Semantic Information [PDF]

open access: goldApplied Sciences, 2022
The main purpose of the joint entity and relation extraction is to extract entities from unstructured texts and extract the relation between labeled entities at the same time. At present, most existing joint entity and relation extraction networks ignore
Huiyan Wu, Jun Huang
doaj   +2 more sources

Relation Extraction Model Based on Semantic Enhancement Mechanism [PDF]

open access: greenarXiv, 2023
Relational extraction is one of the basic tasks related to information extraction in the field of natural language processing, and is an important link and core task in the fields of information extraction, natural language understanding, and information retrieval.
Peiyu Liu   +3 more
arxiv   +3 more sources

Wordnet Semantic Relations in a Chatbot

open access: yesRecoletos Multidisciplinary Research Journal, 2020
The goal of this research is to design and implement a chatbot for querying Wordnet semantic relations. The study creates a contextual chatbot named WordnetBot, a web application that utilizes the use of technologies such as Dialogflow, React, NodeJS ...
Josephine Petralba
doaj   +4 more sources

Semantic and relation aware neural network model for bi-class multi-relational heterogeneous graphs [PDF]

open access: yesiScience
Summary: This paper constructs three bi-class multi-relational heterogeneous graphs based on real-world data, and it proposes a semantic and relation aware neural network model (SRA-BMHN) designed for bi-class multi-relational heterogeneous graphs.
Yufei Zhao, Hua Liu, Hua Duan
doaj   +2 more sources

Keyword Extraction Using Latent Semantic Analysis For Question Generation

open access: yesJournal of Applied Science and Engineering, 2022
In-Text Mining, Information Retrieval (IR), and Natural Language Processing (NLP) dig out the important text or word from an unstructured document is coined by the technique called Keyword extraction.
G. Deena, K. Raja
doaj   +1 more source

Logistics Service Quality Sentiment Analysis with Deeper Attention LSTM Model with Aspect Embedding

open access: yesTehnički Vjesnik, 2023
To understand the audience's subjective perception of quality of service (QoS), it is important to analyze the data acquired from the logistics service logs and online evaluation system reasonably and effectively.
Wenjing Xuan, Min Deng
doaj   +1 more source

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