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IJCAI
2003
13 years 10 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
EMNLP
2009
13 years 6 months ago
Collocation Extraction Using Monolingual Word Alignment Method
Statistical bilingual word alignment has been well studied in the context of machine translation. This paper adapts the bilingual word alignment algorithm to monolingual scenario ...
Zhan-yi Liu, Haifeng Wang, Hua Wu, Sheng Li
ACL
2012
11 years 11 months ago
Reducing Wrong Labels in Distant Supervision for Relation Extraction
In relation extraction, distant supervision seeks to extract relations between entities from text by using a knowledge base, such as Freebase, as a source of supervision. When a s...
Shingo Takamatsu, Issei Sato, Hiroshi Nakagawa
FLAIRS
2003
13 years 10 months ago
Open Domain Information Extraction via Automatic Semantic Labeling
This paper presents a semantic labeling technique based on information encoded in FrameNet. Sentences labeled for frames relevant to any new Information Extraction domain enable t...
Alessandro Moschitti, Paul Morarescu, Sanda M. Har...
COLING
2010
13 years 4 months ago
Shallow Information Extraction from Medical Forum Data
We study a novel shallow information extraction problem that involves extracting sentences of a given set of topic categories from medical forum data. Given a corpus of medical fo...
Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, J...