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» Using Information Extraction to Improve Document Retrieval
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SIGIR
2009
ACM
16 years 16 days ago
Positional language models for information retrieval
Although many variants of language models have been proposed for information retrieval, there are two related retrieval heuristics remaining “external” to the language modelin...
Yuanhua Lv, ChengXiang Zhai
EMNLP
2010
15 years 4 months ago
Multi-Level Structured Models for Document-Level Sentiment Classification
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
Ainur Yessenalina, Yisong Yue, Claire Cardie
SIGMOD
2006
ACM
202views Database» more  SIGMOD 2006»
16 years 6 months ago
Avatar semantic search: a database approach to information retrieval
We present Avatar Semantic Search, a prototype search engine that exploits annotations in the context of classical keyword search. The process of annotations is accomplished offli...
Eser Kandogan, Rajasekar Krishnamurthy, Sriram Rag...
DAS
2006
Springer
15 years 8 months ago
Extraction and Analysis of Document Examiner Features from Vector Skeletons of Grapheme 'th'
Abstract. This paper presents a study of 25 structural features extracted from samples of grapheme `th' that correspond to features commonly used by forensic document examiner...
Vladimir Pervouchine, Graham Leedham
SPIRE
2010
Springer
15 years 4 months ago
Colored Range Queries and Document Retrieval
Abstract. Colored range queries are a well-studied topic in computational geometry and database research that, in the past decade, have found exciting applications in information r...
Travis Gagie, Gonzalo Navarro, Simon J. Puglisi