Information retrieval
From WikiPapers
| information retrieval (Alternative names for this keyword) | |
| Related keyword(s) | Unknown [+] |
| Export and share | |
| BibTeX, CSV, RDF, JSON | |
| | |
| Browse properties · List of keywords | |
information retrieval is included as keyword or extra keyword in 1 datasets, 0 tools and 9 publications.
Datasets
| Dataset | Size | Language | Description |
|---|---|---|---|
| Google dataset linking strings and concepts | ~10 GB | Multilingual |
Tools
There is no tools for this keyword.
Publications
| Title | Author(s) | Published in | Language | DateThis property is a special property in this wiki. | Abstract | R | C |
|---|---|---|---|---|---|---|---|
| A Cross-Lingual Dictionary for English Wikipedia Concepts | Valentin I. Spitkovsky Angel X. Chang |
Proceedings of the Eighth International Conference on Language Resources and Evaluation | English | 2012 | We present a resource for automatically associating strings of text with English Wikipedia concepts. Our machinery is bi-directional, in the sense that it uses the same fundamental probabilistic methods to map strings to empirical distributions over Wikipedia articles as it does to map article URLs to distributions over short, language-independent strings of natural language text. For maximal interoperability, we release our resource as a set of flat line-based text files, lexicographically sorted and encoded with UTF-8. These files capture joint probability distributions underlying concepts (we use the terms article, concept and Wikipedia URL interchangeably) and associated snippets of text, as well as other features that can come in handy when working with Wikipedia articles and related information. | 5 | 0 |
| The people's encyclopedia under the gaze of the sages: a systematic review of scholarly research on Wikipedia | Chitu Okoli Mohamad Mehdi Mostafa Mesgari Finn Årup Nielsen Arto Lanamäki |
English | 2012 | Wikipedia has become one of the ten most visited sites on the Web, and the world’s leading source of Web reference information. Its rapid success has inspired hundreds of scholars from various disciplines to study its content, communication and community dynamics from various perspectives. This article presents a systematic review of scholarly research on Wikipedia. We describe our detailed, rigorous methodology for identifying over 450 scholarly studies of Wikipedia. We present the WikiLit website (http wikilit dot referata dot com), where most of the papers reviewed here are described in detail. In the major section of this article, we then categorize and summarize the studies. An appendix features an extensive list of resources useful for Wikipedia researchers. | 15 | 0 | |
| A link-based visual search engine for Wikipedia | David N. Milne Ian H. Witten |
JCDL | English | 2011 | 0 | 0 | |
| Document Indexing and Retrieval Using Wikipedia | Carlo Abi Chahine Nathalie Chaignaud Jean-Philippe Kotowicz Jean-Pierre Pecuchet |
SITIS | English | 2011 | 0 | 0 | |
| Harvesting Wikipedia Knowledge to Identify Topics in Ongoing Natural Language Dialogs | Alexa Breuing Ulli Waltinger Ipke Wachsmuth |
WI-IAT | English | 2011 | 0 | 0 | |
| Wikipedia-based semantic smoothing for the language modeling approach to information retrieval | Xinhui Tu Tingting He Long Chen Jing Luo Maoyuan Zhang |
ECIR | English | 2010 | 0 | 0 | |
| Is Wikipedia link structure different? | Jaap Kamps Marijn Koolen |
WSDM | English | 2009 | 0 | 0 | |
| Mining meaning from Wikipedia | Olena Medelyan David N. Milne Catherine Legg Ian H. Witten |
Int. J. Hum.-Comput. Stud. | English | 2009 | 0 | 4 | |
| Using dynamic markov compression to detect vandalism in the wikipedia | Kelly Y. Itakura Charles L. A. Clarke |
SIGIR | English | 2009 | 0 | 1 |
