Results 91 to 100 of about 14,560 (254)
Journal of Biomedical SemanticsBackground The semantics of entities extracted from a clinical text can be dramatically altered by modifiers, including entity negation, uncertainty, conditionality, severity, and subject.
Abdullateef I. Almudaifer +11 more
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Enhanced Sentiment Intensity Regression Through LoRA Fine-Tuning on Llama 3
IEEE AccessSentiment analysis and emotion detection are critical research areas in natural language processing (NLP), offering benefits to numerous downstream tasks.
Diefan Lin, Yi Wen, Weishi Wang, Yan Su
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Drug–drug interaction extraction‐based system: An natural language processing approach
Expert Systems, Volume 42, Issue 1, January 2025.Abstract Poly‐medicated patients, especially those over 65, have increased. Multiple drug use and inappropriate prescribing increase drug–drug interactions, adverse drug reactions, morbidity, and mortality. This issue was addressed with recommendation systems.
José Machado +3 more
wiley +1 more source
SemEval-2017 Task 12: Clinical TempEval [PDF]
Proceedings of the 11th International Workshop on Semantic Evaluation
(SemEval-2017), 2017 Clinical TempEval 2017 aimed to answer the question: how well do systems trained on annotated timelines for one medical condition (colon cancer) perform in predicting timelines on another medical condition (brain cancer)? Nine sub-tasks were included, covering problems in time expression identification, event expression identification and temporal ...
Guergana Savova +3 more
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Modern Approaches to Aspect-Based Sentiment Analysis
Труды Института системного программирования РАН, 2018 The paper presents a survey of methods solving the actual task of aspect-based sentiment analysis. Solutions for this task were proposed at multiple natural language processing conferences.
I. . Andrianov +2 more
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Automatic Accuracy Prediction for AMR Parsing
, 2019 Meaning Representation (AMR) represents sentences as directed, acyclic and rooted graphs, aiming at capturing their meaning in a machine readable format. AMR parsing converts natural language sentences into such graphs.
Frank, Anette, Opitz, Juri
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Cryptocurrency Trend Prediction Through Hybrid Deep Transfer Learning
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.The impact of sentiment analysis of comments on social networks such as X (Twitter) on the cryptocurrency market’s behavior has been proven. Also, traditional sentiment analysis and not considering the possible aspects of tweets can cause the deep model to be misleading in predicting the price trend of cryptocurrencies.
Kia Jahanbin +2 more
wiley +1 more source
ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation
IEEE Access, 2019 ShotgunWSD is a recent unsupervised and knowledge-based algorithm for global word sense disambiguation (WSD). The algorithm is inspired by the Shotgun sequencing technique, which is a broadly-used whole genome sequencing approach. ShotgunWSD performs WSD
Andrei M. Butnaru, Radu Tudor Ionescu
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, 2017 We present our submitted systems for Semantic Textual Similarity (STS) Track 4 at SemEval-2017. Given a pair of Spanish-English sentences, each system must estimate their semantic similarity by a score between 0 and 5.
Agnes, Frederic +3 more
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An AI based cross‐language aspect‐level sentiment analysis model using English corpus
Engineering Reports, Volume 6, Issue 12, December 2024.First, a multi‐channel XLNet (Multi‐XLNet) model is used to extract contextual information from the text. Then, in the RCNN module, the contextual features are output by the forward and reverse series GRU (BiGRU) to extract deeper emotional features. Finally, the multi‐head attention mechanism obtains text attention emotion representation.
Jing Chen, Li Pan
wiley +1 more source