Results 261 to 270 of about 4,525,819 (292)

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

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

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

Improving the Lexical Function Composition Model with Pathwise Optimized Elastic-Net Regression

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014
In this paper, we show that the lexical function model for composition of distributional semantic vectors can be improved by adopting a more advanced regression technique. We use the pathwise coordinate-descent optimized elastic-net regression method to estimate the composition parameters, and compare the resulting model with several recent alternative
Li, Jiming, Baroni, Marco, Dinu, Georgiana   +2 more
openaire   +1 more source

Optimizing a Lexical Approach to Instructed Second Language Acquisition

2009
It has become widely recognised that second or foreign language learners benefit greatly from mastering a large number of lexical phrases, a.k.a. chunks. The message that sufficient time should be devoted to chunk-learning has been conveyed perhaps most successfully by Michael Lewis, who has called his proposal the Lexical Approach.
Boers, Frank, Lindstromberg, Seth
openaire   +2 more sources

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

Optimizing the Taxonomy and Hierarchy of a Chinese Lexical Database - Cilin

2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC), 2018
Cilin is one of the most popular semantic knowledge bases in Chinese information processing. Due to its coding scheme and taxonomical arrangement, some semantic relations among words are not explicitly shown. Our work aims to characterize its semantic relations by adding tags and compound codes to optimize the taxonomy and hierarchy of Cilin ...
Tingxin Wei, Xiaohe Chen, Shi Shengwang, Junsheng Zhou, Yanhui Gu, Weiguang Qu   +5 more
openaire   +1 more source

The Lexical Tone Contrast of Roermond Dutch in Optimality Theory

2000
The intonational systems of the dialects of Dutch and German in an area covering a large part of the former German Rhineland (the northern half of Rhineland-Palatinate and the southern half of North Rhine-Westphalia), Luxemburg, the northeast of Belgium, and the southeast of the Netherlands resemble those of Norwegian and Swedish: in addition to the ...
openaire   +2 more sources

Graph Retrieval-Augmented Generation for Large Language Models: A Survey

2024 Conference on AI, Science, Engineering, and Technology (AIxSET)
Large Language Models (LLMs) demonstrate general knowledge, but they suffer when specifically needed knowledge is not present in their training set.
T. Procko, Omar Ochoa
semanticscholar   +1 more source

Optimizing Lexical and Ngram Coverage via Judicious Use of Linguistic Data

2018
I study the effect of various types and amounts of North American Business language data on the quality of the derived vocabulary, and use my findings to derive an improved ranking of the words, using only 19% of the NAB corpus. I then study the conflicting effects of increased vocabulary size on a speech recognizer’s accuracy, and use the result to pick
openaire   +1 more source