Cover Image

Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation Parsing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bitaraf, Ehsan, Jafarpour, Maryam
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MealRec$^+$: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness
by: Li, Ming, et al.
Published: (2024)

System Log Parsing: A Survey
by: Zhang, Tianzhu, et al.
Published: (2022)

Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing
by: Wang, Zhe, et al.
Published: (2025)

Datasets for Navigating Sensitive Topics in Recommendation Systems
by: Kovacs, Amelia, et al.
Published: (2025)

T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval
by: Chang, Xuejun, et al.
Published: (2025)

Terminators: Terms of Service Parsing and Auditing Agents
by: Mridul, Maruf Ahmed, et al.
Published: (2025)

Using LLM-Based Approaches to Enhance and Automate Topic Labeling
by: Khandelwal, Trishia
Published: (2025)

Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
by: He, Jiaman, et al.
Published: (2025)

Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities
by: Zhu, Yurui, et al.
Published: (2026)

A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation
by: Liu, Dugang, et al.
Published: (2024)

AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models
by: Mansi, et al.
Published: (2024)

Tabular PDF Information Extraction with Local LLMs and Layout-Aware Parsing: A Reliability Evaluation
by: Hilmi, Muhammad Anis Al, et al.
Published: (2026)

Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm
by: Rahman, Shadikur, et al.
Published: (2025)

BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection
by: Ranaweera, Nishavi, et al.
Published: (2025)

Towards Scalable Topic Detection on Web via Simulating Levy Walks Nature of Topics in Similarity Space
by: Pang, Junbiao, et al.
Published: (2024)

A Research Vision for Web Search on Emerging Topics
by: Rieger, Alisa, et al.
Published: (2025)

A Study on Library Resources with Services Satisfaction based on Library Users Affiliated Colleges to Solapur University
by: Burhansab, Patel Adam, et al.
Published: (2025)

Topic-Centric Explanations for News Recommendation
by: Liu, Dairui, et al.
Published: (2023)

Towards Efficient Quantity Retrieval from Text:An Approach via Description Parsing and Weak Supervision
by: Cao, Yixuan, et al.
Published: (2025)

Decoding TRON: A Comprehensive Framework for Large-Scale Blockchain Data Extraction and Exploration
by: Mao, Qian'ang, et al.
Published: (2025)

Information Extraction from Historical Well Records Using A Large Language Model
by: Ma, Zhiwei, et al.
Published: (2024)

LLM-Enhanced Topical Trend Detection at Snapchat
by: Zhao, Hangqi, et al.
Published: (2026)

Experimental Evaluation of Dynamic Topic Modeling Algorithms
by: Onah, Ngozichukwuka, et al.
Published: (2025)

Written Representation of Topics and the Production of Query Terms
by: Tagliacozzo, Renata, et al.
Published: (1971)

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
by: Chen, Jiaju, et al.
Published: (2024)

ChunkNorris: A High-Performance and Low-Energy Approach to PDF Parsing and Chunking
by: Ciancone, Mathieu, et al.
Published: (2025)

Enhancing Online Support Group Formation Using Topic Modeling Techniques
by: Barman, Pronob Kumar, et al.
Published: (2026)

Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
by: Tran, Nhat, et al.
Published: (2024)

Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation
by: Alam, Fahmida, et al.
Published: (2024)

Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
by: Gienapp, Lukas, et al.
Published: (2025)

Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs
by: Zhao, Chuang, et al.
Published: (2024)

VisTopics: A Visual Semantic Unsupervised Approach to Topic Modeling of Video and Image Data
by: Lokmanoglu, Ayse D, et al.
Published: (2025)

Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research
by: Dong, Kuicai, et al.
Published: (2025)

Dataset and Models for Item Recommendation Using Multi-Modal User Interactions
by: Bruun, Simone Borg, et al.
Published: (2024)

Automatic Identification of Topic Tags from Texts Based on Expansion-Extraction Approach
by: Yang, Seungwon
Published: (2013)

KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents
by: Naparstek, Oshri, et al.
Published: (2024)

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy
by: Uapadhyay, Rishabh, et al.
Published: (2025)

Enhancing Retrieval-Augmented Generation with Topic-Enriched Embeddings: A Hybrid Approach Integrating Traditional NLP Techniques
by: Kataishi, Rodrigo
Published: (2025)

LLMs Can Patch Up Missing Relevance Judgments in Evaluation
by: Upadhyay, Shivani, et al.
Published: (2024)

AgriLens: Semantic Retrieval in Agricultural Texts Using Topic Modeling and Language Models
by: Shakeel, Heba, et al.
Published: (2026)