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Understanding queries in information retrieval (IR) is crucial. Tasks like query classification or clustering exist but may lack precision. Detailed goal descriptions, like human annotations, are vital for improving query understanding and ...

Despite the recent broad adoption of Large Language Models (LLMs) across various domains, their potential for enriching information systems in extracting and exploring Linked Data (LD) and Resource Description Framework (RDF) triplestores has not ...

In this diverse world, language barriers pose significant challenges in sectors such as tourism and medicine, affecting the efficiency in communication and information availability. In context of tourism, diverse linguistic norms often affect ...

In this paper we present a Virtual Reality (VR) tool that facilitates the visualisation and exploration of context-based, multi-level annotations in archaeology. Indeed, thanks to photogrammetry and laser scanning techniques, archaeologists can ...

In the rapidly evolving digital landscape, effective retrieval of product information from enterprise websites is crucial for enterprise research, industry analysis, and strategic planning, which rely on accurate and comprehensive data. In this ...

Information Extraction (IE) aims to extract structural knowledge (e.g., entities, relations, events) from natural language texts. Recently, Large Language Models (LLMs) with code-style prompts have demonstrated powerful capabilities in IE tasks. ...

Information Retrieval (IR) pre-trained language models are trained from large-scale retrieval-based corpora to promote the task-specific knowledge capacity. Previous works focus on general retrieval pre-trained datasets, which cover inter-document ...

Navigating the vast scientific literature often starts with browsing a paper’s abstract. However, when a reader seeks additional information, not present in the abstract, they face a costly cognitive chasm during their dive into the full text. To bridge ...

Interdisciplinary studies often require researchers to explore literature in diverse branches of knowledge. Yet, navigating through the highly scattered knowledge from unfamiliar disciplines poses a significant challenge. In this paper, we introduce ...

The research and development of Japanese operating platform has become a new industry. At the same time, it is necessary to strengthen the research on query and feedback technology in MIR(Multimedia Information Retrieval). Based on this, this paper ...

The FAIR principles constitute a cornerstone of contemporary scientific methodology, with the Digital Library (DL) community actively participating and providing significant advancements within this framework. By taking a reproducibility approach, ...

This paper presents a tool to build an intermediate representation, Partial DRS, a Language-Independent Partial Discourse Representation Structure (DRS), that can be used to generate SPARQL queries from Natural Language (NL) Questions. The Partial ...

Human communication relies on integrated multimodal channels to facilitate rich information exchange. Building on this foundation, researchers have long speculated about the potential benefits of incorporating multimodal input channels into conventional ...

Bug report management is a costly software maintenance process comprised of several challenging tasks. Given the UI-driven nature of mobile apps, bugs typically manifest through the UI, hence the identification of buggy UI screens and UI components (...

We describe the second edition of the LongEval CLEF 2024 shared task. This lab evaluates the temporal persistence of Information Retrieval (IR) systems and Text Classifiers. Task 1 requires IR systems to run on corpora acquired at several ...

This study provides insights into both addressing data confidentiality concerns and enhancing document retrieval effectiveness in Data Marketplaces, which in this specific study consist of unstructured, textual documents. Through a semi-automatic ...

KamerRaad is an AI tool that leverages large language models to help citizens interactively engage with Belgian political information. The tool extracts and concisely summarizes key excerpts from parliamentary proceedings, followed by the ...

The use of Transformers for text processing has attracted a large deal of attention in the last years. This is particularly true for sentence models, which present high capacity to comprehend and generate text contextually, improving the ...

Research on image classification and text translation for comics have transpired largely independent of one another. Machine translation tools focus on comics’ text features, thereby largely ignoring comics’ heavily visual dimension. Image ...$\stackrel{}{\mathrm{}}$

This paper conducts a corresponding study on the construction of a translation talent pool internally through the context of information retrieval technology. It first discusses the current state of development of information retrieval technology in ...