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NAACL
2001
13 years 9 months ago
Unsupervised Learning of Name Structure From Coreference Data
We present two methods for learning the structure of personal names from unlabeled data. The first simply uses a few implicit constraints governing this structure to gain a toehol...
Eugene Charniak
BMCBI
2005
251views more  BMCBI 2005»
13 years 7 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
TREC
2001
13 years 9 months ago
NTT Question Answering System in TREC 2001
In this report, we describe our question-answering system SAIQA-e (System for Advanced Interactive Question Answering in English) which ran the main task of TREC-10's QA-trac...
Hideto Kazawa, Hideki Isozaki, Eisaku Maeda
ACL
2001
13 years 9 months ago
Information Extraction from Voicemail
In this paper we address the problem of extracting key pieces of information from voicemail messages, such as the identity and phone number of the caller. This task differs from t...
Jing Huang, Geoffrey Zweig, Mukund Padmanabhan
ACL
1998
13 years 9 months ago
Entity-Based Cross-Document Coreferencing Using the Vector Space Model
Cross-document coreference occurs when the same person, place, event, or concept is discussed in more than one text source. Computer recognition of this phenomenon is important be...
Amit Bagga, Breck Baldwin