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SIGIR
2004
ACM
15 years 3 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
79
Voted
ACL
2006
14 years 11 months ago
A Comparison of Document, Sentence, and Term Event Spaces
The trend in information retrieval systems is from document to sub-document retrieval, such as sentences in a summarization system and words or phrases in question-answering syste...
Catherine Blake
TABLETOP
2008
IEEE
15 years 4 months ago
DocuDesk: An interactive surface for creating and rehydrating many-to-many linkages among paper and digital documents
Knowledge workers often undertake tasks that involve a variety of information artifacts, including both paper and digital documents. In this paper, we first summarize findings fro...
Katherine Everitt, Meredith Ringel Morris, A. J. B...
71
Voted
ICDAR
2007
IEEE
15 years 4 months ago
Automatic Extraction of Data from 2-D Plots in Documents
Two-dimensional (2-D) plots in digital documents contain important information. Often, the results of scientific experiments and performance of businesses are summarized using pl...
Xiaonan Lu, James Ze Wang, Prasenjit Mitra, C. Lee...
AIRS
2004
Springer
15 years 3 months ago
Using Verb Dependency Matching in a Reading Comprehension System
In this paper, we describe a reading comprehension system. This system can return a sentence in a given document as the answer to a given question. This system applies bag-of-words...
Kui Xu, Helen Meng