Add to ORKGIn this paper we present our system and experiments at the Third Web People Search Workshop (WePS-3) task for clustering web people search documents in English. In our experiments we used a simple approach with three algorithms: Lingo, Hierachical Agglomerative Clustering (HAC), and a 2-step HAC algorithm. We also present the results and initial conclusions in the context of the WePS-3 Task 1 for clustering. We obtained best results with HAC and 2-step HAC algorithms
Due to the availability of a vast amount of unstructured data in various forms (e.g., the web, socia...
Multi Multilingual corpora, containing the same documents in a variety of languages, are becoming an...
With so much information available on the web, looking for relevant documents on the Internet has be...
In this paper we present our system and experiments at the Third Web People Search Workshop (WePS-3)...
The second WePS (Web People Search) Evaluation cam-paign took place in 2008-2009 with the participat...
In this paper we describe our participation in the SemEval 2007 Web People Search task. Our main aim...
In this paper we describe our participation in the Second Web People Search workshop (WePS2) and det...
In this paper we describe our participation in Web Peo-ple Search Clustering task. We present a new ...
In this article, we report on our work on applying hierarchical agglomerative clustering (HAC) to a ...
Disambiguating person names in a set of documents (such as a set of web pages returned in response t...
Today, search engine is the most commonly used tool for Web information retrieval, however, its curr...
Bilingual corpora, containing the same documents in two different languages, are becoming an essenti...
In this paper we present a word encoding and clustering technique that groups web documents based on...
Document clustering is an important tool for applications such as Web search engines. Document clust...
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, ...
Due to the availability of a vast amount of unstructured data in various forms (e.g., the web, socia...
Multi Multilingual corpora, containing the same documents in a variety of languages, are becoming an...
With so much information available on the web, looking for relevant documents on the Internet has be...
In this paper we present our system and experiments at the Third Web People Search Workshop (WePS-3)...
The second WePS (Web People Search) Evaluation cam-paign took place in 2008-2009 with the participat...
In this paper we describe our participation in the SemEval 2007 Web People Search task. Our main aim...
In this paper we describe our participation in the Second Web People Search workshop (WePS2) and det...
In this paper we describe our participation in Web Peo-ple Search Clustering task. We present a new ...
In this article, we report on our work on applying hierarchical agglomerative clustering (HAC) to a ...
Disambiguating person names in a set of documents (such as a set of web pages returned in response t...
Today, search engine is the most commonly used tool for Web information retrieval, however, its curr...
Bilingual corpora, containing the same documents in two different languages, are becoming an essenti...
In this paper we present a word encoding and clustering technique that groups web documents based on...
Document clustering is an important tool for applications such as Web search engines. Document clust...
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, ...
Due to the availability of a vast amount of unstructured data in various forms (e.g., the web, socia...
Multi Multilingual corpora, containing the same documents in a variety of languages, are becoming an...
With so much information available on the web, looking for relevant documents on the Internet has be...