Amanote Research

Amanote Research

    RegisterSign In

From Topic Models to Semi-Supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-642-40991-2_40
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer ScienceTheoretical Computer Science
Date

January 1, 2013

Authors
Ramnath BalasubramanyanBhavana DalviWilliam W. Cohen
Publisher

Springer Berlin Heidelberg


Related search

Topic Models

2017English

Hierarchical Semi-Supervised Confidence-Based Active Clustering and Its Application to the Extraction of Topic Hierarchies From Document Collections

English

Topic Models for Image Localization

2013English

Memory Bounded Inference in Topic Models

2008English

Language-Specific Models in Multilingual Topic Tracking

2004English

Sparse Relational Topic Models for Document Networks

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

TopicExplorer: Exploring Document Collections With Topic Models

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Biasing Web Search Results for Topic Familiarity

2005English

Multi-Aspect Sentiment Analysis With Topic Models

2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy