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Found 12 papers, 0 papers with code
MAKED: Multi-lingual Automatic Keyword Extraction Dataset
Keyword extraction is an integral task for many downstream problems like clustering, recommendation, search and classification.
Exploring the Nexus Between Retrievability and Query Generation Strategies
In this study, we address the issue of reproducibility and seek to validate query generation methods by comparing retrievability scores generated from artificially generated queries to those derived from query logs.
A Comparative Analysis of Retrievability and PageRank Measures
Metrics such as PageRank, Hub, and Authority illuminate the pathways through which documents can be discovered within the network of content while the concept of Retrievability is used to quantify the ease with which a document can be found by a retrieval model.
Automated Attribute Extraction from Legal Proceedings
The escalating number of pending cases is a growing concern world-wide.
Findability: A Novel Measure of Information Accessibility
The overwhelming volume of data generated and indexed by search engines poses a significant challenge in retrieving documents from the index efficiently and effectively.
Retrievability in an Integrated Retrieval System: An Extended Study
In this paper, we investigate the retrievability in an integrated search system consisting of items from various categories, particularly focussing on datasets, publications \ijdl{and variables} in a real-life Digital Library (DL).
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges
In recent years, Knowledge Graph (KG) development has attracted significant researches considering the applications in web search, relation prediction, natural language processing, information retrieval, question answering to name a few.
Studying Retrievability of Publications and Datasets in an Integrated Retrieval System
In this paper, we investigate the retrievability of datasets and publications in a real-life Digital Library (DL).
ConSTR: A Contextual Search Term Recommender
For the demonstration, ConSTR is built on the arXiv, an academic repository consisting of 1. 8 million documents.
Characteristics of Dataset Retrieval Sessions: Experiences from a Real-life Digital Library
Amongst others, we report our findings of dataset retrieval sessions with respect to query characteristics, interaction sequences and topical drift within 65, 000 unique sessions.
A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages
Wikipedia is the largest web-based open encyclopedia covering more than three hundred languages.
Tag Embedding Based Personalized Point Of Interest Recommendation System
We model Point of Interest-based on tag embedding and also model the users (user profile) based on the Point Of Interest rated by them.
