21 papers · ranked by Valyu relevance
Shayan Zamanirad, Boualem Benatallah, Moshe Chai Barukh, Fabio Casati + 1 more
'Fabio Casati' 'Carlos Rodríguez'] Abstract—At present, bots are still in their preliminary stages of development. Many are relatively simple, or developed ad-hoc for a very specific use-case. For this reason, they are typically programmed manually, or utilize machine-learning classifiers to interpret a fixed set of…
Saghar Hosseini, Ahmed Hassan Awadallah, Yu Su
Web APIs are application programming interfaces over the Web which can be accessed via HTTP protocol. Web API is often used to provide an interface for Web sites and can be used to access data from a database and save data back to the database. These interfaces have become ubiquitous by enabling open platforms that any…
Mohammad-Ali Yaghoub-Zadeh-Fard, Boualem Benatallah
Objectives Recently natural language interfaces (e.g., chatbots) have gained enormous attention. Such interfaces execute underlying application programming interfaces (APIs) based on the user's utterances to perform tasks (e.g., reporting weather). Supervised approaches for building such interfaces rely upon a large…
Chunhui Tao, Xiaojing Fan, Yi‐Chen E. Yang
Synthetic Data Generation Authors: ['Chunhui Tao' 'Xiaojing Fan' 'Yi‐Chen E. Yang'] Abstract—As Large Language Models (LLMs) advance in natural language processing, there is growing interest in leveraging their capabilities to simplify software interactions. In this paper, we propose a novel system that integrates LLMs…
Matúš Sulír, Jaroslav Porubän
—The main purpose of a voice command system is to process a sentence in natural language and perform the corresponding action. Although there exist many approache s to map sentences to API (application programming interface ) calls, this mapping is usually performed after the API is already implemented, possibly by…
Vipin Kataria, Nitin Kumar
Business analysts and non-technical users need insights from enterprise data lakes but lack SQL expertise to query them directly. While large language models (LLMs) can translate natural language to SQL, existing text-to-SQL approaches face critical limitations: severe SQL injection vulnerabilities, inability to…
Ye Yang, Xue Xiao, Ping Yin, Taotao Xie + 1 more
API calls by large language model (LLM) represent a cutting-edge technique in data analysis. However, the potential of LLM to effectively utilize tools through API calls remains underexplored in knowledge-intensive sectors such as the meteorological industry. In this paper, we propose a system, named KG2data, that…
Zhengyuan Dong, Han Zhou, Yifan Jiang, Victor Zhong + 1 more
The rapid advancements in high-throughput sequencing technologies have produced a wealth of omics data, facilitating significant biological insights but presenting immense computational challenges. Traditional bioinformatics tools require substantial programming expertise, limiting accessibility for experimental…
M.A. Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong + 3 more
'Lingxiao Jiang' 'Fatemeh H. Fard' 'David Lo'] Developers frequently use APIs to implement certain functionalities, such as parsing Excel Files, reading and writing text files line by line, etc. Developers can greatly benefit from automatic API usage sequence generation based on natural language queries for building…
Harsheen Kaur, Sunghwan Sohn, Chung-Il Wi, Euijung Ryu + 8 more
'Miguel A. Park' 'Kay Bachman' 'Hirohito Kita' 'Ivana Croghan' 'Jose A. Castro-Rodriguez' 'Gretchen A. Voge' 'Hongfang Liu' 'Young J. Juhn'] Background Thus far, no algorithms have been developed to automatically extract patients who meet Asthma Predictive Index (API) criteria from the Electronic health records (EHR)…
Authors not listed
Natural language processing with the help of large language models such as ChatGPT has become ubiquitous in many software applications and allows users to interact even with complex hardware or software in an intuitive way. The recent concepts of Self-Driving Labs and Material Acceleration Platforms stand to benefit…
Amaryllis Mavragani, Ross Gore, Yingya Li, Hannah Stevens + 2 more
Background Despite vaccine availability, vaccine hesitancy has inhibited public health officials’ efforts to mitigate the COVID-19 pandemic in the United States. Although some US elected officials have responded by issuing vaccine mandates, others have amplified vaccine hesitancy by broadcasting messages that minimize…
Helia Mohammadi, Fatemeh Almodaresi, Gregory F J Hogue, Adam Wright + 4 more
The Reactome Pathway Knowledgebase (www.reactome.org) provides expert-curated information on human biological pathways, molecular interactions, and disease mechanisms. However, its complex data model and keyword-based search interface present accessibility barriers for non-expert users. In contrast, general-purpose…
Authors not listed
The exponential growth of chemical literature necessitates the development of automated tools for extracting and curating molecular information from unstructured scientific publications into open-access chemical databases. Current optical chemical structure recognition (OCSR) and named entity recognition solutions…
Joshua Conrad Jackson, Joseph Watts, Johann-Mattis List, Curtis Puryear + 2 more
'Curtis Puryear' 'Ryan Drabble' 'Kristen A. Lindquist'] Humans have been using language for millennia but have only just begun to scratch the surface of what natural language can reveal about the mind. Here we propose that language offers a unique window into psychology. After briefly summarizing the legacy of language…
Rachel Knapp, Braidon Johnson, Lucas Busta
Premise: Recently, plant science has seen transformative advances in scalable data collection for sequence and chemical data. These large datasets, combined with machine learning, revealed that conducting plant metabolic research on large scales yields remarkable insights. A key next step in increasing scale has been…
Authors not listed
Bayesian optimization (BO) has become increasingly important for experimental optimization across scientific domains, yet implementing BO pipelines requires significant programming expertise and familiarity with specialized frameworks. This creates a barrier for domain experts who could benefit from BO but lack the…
Evangelos Pafilis, Lars Juhl Jensen
Automatic annotation of text is an important complement to manual annotation, because the latter is highly labor intensive. We have developed a fast dictionary-based named entity recognition system, which is used for both real-time and bulk processing of text in a variety of biomedical web resources. We propose to…
Authors not listed
The interdisciplinary nature of redox flow batteries (RFBs), spanning chemistry, materials, and engineering, has led to a vast and fragmented body of research, hindering the efficient synthesis of knowledge. An intelligent question-answering system is there-fore essential to organize this dispersed knowledge, enhance…
Gergely Zahoránszky-Kőhalmi, Brandon Walker, Nathan Miller, Brett Yang + 11 more
The recent SmartGraph platform facilitates the execution of complex drug-discovery workflows with ease in the network-pharmacology paradigm. However, at the time of its publication, we identified the need for the development of an Application Programming Interface (API) that could promote biomedical data integration…
Venkata Chandrasekhar, Nisha Sharma, Jonas Schaub, Christoph Steinbeck + 1 more
In recent years, cheminformatics has experienced significant advancements through the development of new open-source software tools based on various cheminformatics programming toolkits. However, adopting these toolkits presents challenges, including proper installation, setup, deployment, and compatibility management.…