15 papers · ranked by Valyu relevance
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…
Qiao Jin, Yifan Yang, Qingyu Chen, Zhiyong Lu
While large language models (LLMs) have been successfully applied to various tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific tools such as database utilities can facilitate easier and more precise access to specialized knowledge. In this paper, we present GeneGPT, a novel…
Joohyun Chung, Sangmin Song, Heesook Son, Nicola Magnavita
There has been a growing emphasis on data across various health-related fields, not just in nursing research, due to the increasing volume of unstructured data in electronic health records (EHRs). Natural Language Processing (NLP) provides a solution by transforming this unstructured data into structured formats…
Bilal Abu-Salih, Mohammad Alhabashneh, Dengya Zhu, Albara Awajan + 3 more
'Yazan Alshamaileh' 'Bashar Al-Shboul' 'Mohammad Alshraideh'] The development of emotion detection technology has emerged as an efficient possibility in the corporate sector due to the nearly limitless uses of this new discipline, particularly with the unceasing propagation of social data. In recent years, the…
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…
HeounMo Go, SangHyun Park
AI Agents have evolved to not only recommend content but also facilitate information retrieval and task processing. Developing AI Agents using general-purpose LLM models necessitates integration with external tools, leading to tool-augmented LLM studies. Despite the availability of multiple tools for the same purpose…
Guido M. Linders, Max M. Louwerse
Most natural language models and tools are restricted to one language, typically English. For researchers in the behavioral sciences investigating languages other than English, and for those researchers who would like to make cross-linguistic comparisons, hardly any computational linguistic tools exist, particularly…
Roberta Rocca, Nicolò Tamagnone, Selim Fekih, Ximena Contla + 1 more
Natural language processing (NLP) is a rapidly evolving field at the intersection of linguistics, computer science, and artificial intelligence, which is concerned with developing methods to process and generate language at scale. Modern NLP tools have the potential to support humanitarian action at multiple stages of…
Claudio Crema, Giuseppe Attardi, Daniele Sartiano, Alberto Redolfi
Natural language processing (NLP) is rapidly becoming an important topic in the medical community. The ability to automatically analyze any type of medical document could be the key factor to fully exploit the data it contains. Cutting-edge artificial intelligence (AI) architectures, particularly machine learning and…
Adam Kövári, Michele Pasin, Alexander Meduna
We describe the Dimensions Search Language (DSL), a domain-specific language for bibliographic and scientometrics analysis. The DSL is the main component of the Dimensions API (version 2.12.0), which provides end-users with a powerful, yet simple-to-learn and use, tool to search, filter, and analyze the Dimensions…
Abayomi Bello, Sin-Chun Ng, Man-Fai Leung, Carmela Comito
Sentiment analysis has been widely used in microblogging sites such as Twitter in recent decades, where millions of users express their opinions and thoughts because of its short and simple manner of expression. Several studies reveal the state of sentiment which does not express sentiment based on the user context…
Nicola Angius, Pietro Perconti, Alessio Plebe, Alessandro Acciai
This article provides an epistemological analysis of current attempts of explaining how the relatively simple algorithmic components of neural language models (NLMs) provide them with genuine linguistic competence. After introducing the Transformer architecture, at the basis of most of current NLMs, the paper firstly…
Adam Pease, Richard Thompson
Human language is often vague and ambiguous. There have been many efforts to create formal languages and many attempts to translate human language into formal languages. Logic has a great deal of flexibility, not least in how the symbols used are defined. We anchor lexical elements in a formal ontology, which helps…
Reto Gubelmann
Taking Leibniz' ideal of a universal truth-calculating machine as a vantage point, this article provides a philosophically sound analysis of the concept of reasoning in NLP. It argues that reasoning always involves inference, which in turn requires being guided by reason relations. Based on this, the article argues…