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WIDM
2005
ACM
13 years 10 months ago
A search result clustering method using informatively named entities
Clustering the results of a search helps the user to overview the information returned. In this paper, we regard the clustering task as indexing the search results. Here, an index...
Hiroyuki Toda, Ryoji Kataoka
WWW
2005
ACM
14 years 5 months ago
A clustering method for news articles retrieval system
Organizing the results of a search facilitates the user in overviewing the information returned. We regard the clustering task as the tasks of making labels for a list of items an...
Hiroyuki Toda, Ryoji Kataoka
EMNLP
2009
13 years 2 months ago
The role of named entities in Web People Search
The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search r...
Javier Artiles, Enrique Amigó, Julio Gonzal...
ACL
2011
12 years 8 months ago
Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition
We use search engine results to address a particularly difficult cross-domain language processing task, the adaptation of named entity recognition (NER) from news text to web que...
Stefan Rüd, Massimiliano Ciaramita, Jens M&uu...
EMNLP
2004
13 years 5 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag