17 papers · ranked by Valyu relevance
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…
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…
Zhengru Shen, Hugo van Krimpen, Marco Spruit
Natural language processing (NLP) has become essential for secondary use of clinical data. Over the last two decades, many clinical NLP systems were developed in both academia and industry. However, nearly all existing systems are restricted to specific clinical settings mainly because they were developed for and…
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)…
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…
Yong-Jin Han, Seong-Bae Park, Se-Young Park
The discordance between expressions interpretable by a natural language interface (NLI) system and those answerable by a knowledge base is a critical problem in the field of NLIs. In order to solve this discordance problem, this paper proposes a method to translate natural language questions into formal queries that…
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…
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…
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…
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…
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…
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…