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ICML
2009
IEEE
15 years 10 months ago
MedLDA: maximum margin supervised topic models for regression and classification
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
Jun Zhu, Amr Ahmed, Eric P. Xing
SIGIR
2004
ACM
15 years 2 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
76
Voted
SPIRE
2004
Springer
15 years 2 months ago
Indexing Text Documents Based on Topic Identification
This work provides algorithms and heuristics to index text documents by determining important topics in the documents. To index text documents, the work provides algorithms to gene...
Manonton Butarbutar, Susan McRoy
SIGIR
2008
ACM
14 years 9 months ago
Bilingual topic aspect classification with a few training examples
This paper explores topic aspect (i.e., subtopic or facet) classification for English and Chinese collections. The evaluation model assumes a bilingual user who has found document...
Yejun Wu, Douglas W. Oard
81
Voted
ISI
2006
Springer
14 years 9 months ago
Analyzing Entities and Topics in News Articles Using Statistical Topic Models
Statistical language models can learn relationships between topics discussed in a document collection and persons, organizations and places mentioned in each document. We present a...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...