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Bayesian Optimization With Tree Ensembles to Improve Depression Screening on Textual Datasets

IEEE Transactions on Affective Computing
Improving digital depression screening is important for combating the global mental health crisis. Textual data are promising for depression screening due to their many origins, but the variety presents screening challenges.
Ting Zhao, M. Tlachac
semanticscholar   +1 more source

Sarcasm Detection using Genetic Optimization on LSTM with CNN

2020 International Conference for Emerging Technology (INCET), 2020
The challenging problem of 21st Century is to detect sarcasm in vivid data available on a large scale. Over 20 years of study in this field, the past 10 years have shown a significant progress not only in semantic features, but also an upward trend has ...
Darkunde Mayur Ashok, Agrawal Nidhi Ghanshyam, S. Salim, Dungarpur Burhanuddin Mazahir, B. Thakare   +4 more
semanticscholar   +1 more source

Optimizing lexical and N-gram coverage via judicious use of linguistic data

4th European Conference on Speech Communication and Technology (Eurospeech 1995), 1995
Roni Rosenfeld
openalex   +2 more sources

MiniELM: A Lightweight and Adaptive Query Rewriting Framework for E-Commerce Search Optimization

Annual Meeting of the Association for Computational Linguistics
Query rewriting (QR) is a critical technique in e-commerce search, addressing the lexical gap between user queries and product descriptions to enhance search performance.
Duy A. Nguyen, R. Mohan, Van Yang, Pritom Saha Akash, Kevin Chen-Chuan Chang   +4 more
semanticscholar   +1 more source

Optimal parenthesization of lexical orderings for DSP block diagrams

VLSI Signal Processing, VIII, 2002
Minimizing memory requirements for program and data are critical objectives when synthesizing software for embedded DSP applications. Previously, it has been demonstrated that for graphical programs based on the widely-used synchronous dataflow model an important class of minimum code size implementations can be viewed as parenthesizations of lexical ...
S.S. Bhattacharyya, P.K. Murthy, E.A. Lee   +2 more
openaire   +1 more source

Integrating Deep Learning Techniques in Information Retrieval: A Hybrid Approach to Relevance Optimization

Journal of Information Systems Engineering & Management
Traditional keyword-based information retrieval (IR) systems while effective for exact term matching, often fail to capture semantic meaning, leading to suboptimal relevance especially for complex queries.
Anant Manish Singh, Divyanshu Brijendra Singh, Aditya Ratnesh Pandey, Maroof Rehan Siddiqui, Akash Pradeep Sharma, A. Khan   +5 more
semanticscholar   +1 more source

Multiple Optimization with Retrieval-Augmented Generation and Fine-Grained Denoising for Biomedical Event Causal Relation Extraction

IEEE International Conference on Bioinformatics and Biomedicine
Biomedical Event Causal Relation Extraction (BECRE) aims to identify event causal relations in biomedical literature. Current methods emphasize sample data optimization.
Jie Zhao, Lishuang Li, Wanting Ning, Jing Hao, Yuxiao Fei, Jiayi Huang   +5 more
semanticscholar   +1 more source

Research on Optimization of Korean Translation Model Based on Deep Learning

2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI)
This paper studies the optimization of Korean translation model based on deep learning (DL). In view of the unique grammatical structure and rich vocabulary changes in Korean, this paper first constructs a rich training data set by using multiple open ...
Xinfeng Wang, Debin Han
semanticscholar   +1 more source

Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models

Conference on Empirical Methods in Natural Language Processing
In-context learning (ICL) performance is highly sensitive to prompt design, yet the impact of class label options (e.g. lexicon or order) in zero-shot classification remains underexplored.
Yue Li, Zhixue Zhao, Carolina Scarton
semanticscholar   +1 more source

Natural Language Processing and Classification Methods for the Maintenance and Optimization of US Weapon Systems

Systems and Information Engineering Design Symposium, 2019
The Logistics Management Institute (LMI) works with the US Department of Defense (DoD) in analyzing maintenance logs on US weapons systems. A major issue in processing this data is determining how to extract useful information from disorganized short ...
Nicola Bruno, Tommy Jun, Henry Tessier
semanticscholar   +1 more source