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ACL
2011
8 years 3 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
ACL
2011
8 years 3 months ago
Event Discovery in Social Media Feeds
We present a novel method for record extraction from social streams such as Twitter. Unlike typical extraction setups, these environments are characterized by short, one sentence ...
Edward Benson, Aria Haghighi, Regina Barzilay
ACL
2011
8 years 3 months ago
Event Extraction as Dependency Parsing
Nested event structures are a common occurrence in both open domain and domain specific extraction tasks, e.g., a “crime” event can cause a “investigation” event, which c...
David McClosky, Mihai Surdeanu, Christopher D. Man...
CLEF
2010
Springer
9 years 29 days ago
WePS-3 Evaluation Campaign: Overview of the Web People Search Clustering and Attribute Extraction Tasks
The third WePS (Web People Search) Evaluation campaign took place in 2009-2010 and attracted the participation of 13 research groups from Europe, Asia and North America. Given the ...
Javier Artiles, Andrew Borthwick, Julio Gonzalo, S...
CIKM
2009
Springer
9 years 4 months ago
Data extraction from the web using wild card queries
This paper presents an overview of our framework for searching and retrieving facts and relationships within natural language text sources. In this framework, an extraction task o...
Davood Rafiei, Haobin Li
FSMNLP
2005
Springer
9 years 5 months ago
Algorithms for Minimum Risk Chunking
Abstract. Stochastic finite automata are useful for identifying substrings (chunks) within larger units of text. Relevant applications include tokenization, base-NP chunking, name...
Martin Jansche
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