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SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
14 years 2 months ago
Robust web extraction: an approach based on a probabilistic tree-edit model
On script-generated web sites, many documents share common HTML tree structure, allowing wrappers to effectively extract information of interest. Of course, the scripts and thus ...
Nilesh N. Dalvi, Philip Bohannon, Fei Sha
AI
2009
Springer
14 years 2 months ago
A SVM-Based Ensemble Approach to Multi-Document Summarization
In this paper, we present a Support Vector Machine (SVM) based ensemble approach to combat the extractive multi-document summarization problem. Although SVM can have a good general...
Yllias Chali, Sadid A. Hasan, Shafiq R. Joty
ECIR
2011
Springer
12 years 11 months ago
Combining Global and Local Semantic Contexts for Improving Biomedical Information Retrieval
In the context of biomedical information retrieval (IR), this paper explores the relationship between the document’s global context and the query’s local context in an attempt ...
Duy Dinh, Lynda Tamine
ACL
2011
12 years 11 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman
SIGIR
2010
ACM
13 years 7 months ago
Ontology-enriched multi-document summarization in disaster management
In this poster, we propose a novel document summarization approach named Ontology-enriched M ulti-Document Summarization(OMS) for utilizing background knowledge to improve summari...
Lei Li, Dingding Wang, Chao Shen, Tao Li