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EMNLP
2004
13 years 9 months ago
VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations
Broad-coverage repositories of semantic relations between verbs could benefit many NLP tasks. We present a semi-automatic method for extracting fine-grained semantic relations bet...
Timothy Chklovski, Patrick Pantel
ACL
2008
13 years 9 months ago
Large Scale Acquisition of Paraphrases for Learning Surface Patterns
Paraphrases have proved to be useful in many applications, including Machine Translation, Question Answering, Summarization, and Information Retrieval. Paraphrase acquisition meth...
Rahul Bhagat, Deepak Ravichandran
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
14 years 1 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
AIRS
2008
Springer
13 years 10 months ago
An Alignment-Based Approach to Semi-supervised Relation Extraction Including Multiple Arguments
We present an alignment-based approach to semi-supervised relation extraction task including more than two arguments. We concentrate on improving not only the precision of the extr...
Seokhwan Kim, Minwoo Jeong, Gary Geunbae Lee, Kwan...
NIPS
2003
13 years 9 months ago
Link Prediction in Relational Data
Many real-world domains are relational in nature, consisting of a set of objects related to each other in complex ways. This paper focuses on predicting the existence and the type...
Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Dap...