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Found 15 papers, 2 papers with code
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources
We propose a classification scheme -- CLICKER for CL/NLP based on the analysis of online lectures from 77 university courses on this subject.
Techniques for Jointly Extracting Entities and Relations: A Survey
Traditionally, relation extraction is carried out after entity extraction in a "pipeline" fashion, so that relation extraction only focuses on determining whether any semantic relation exists between a pair of extracted entity mentions.
Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text
We propose a knowledge-based approach for extraction of Cause-Effect (CE) relations from biomedical text.
Extracting N-ary Cross-sentence Relations using Constrained Subsequence Kernel
Most of the past work in relation extraction deals with relations occurring within a sentence and having only two entity arguments.
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets
Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care.
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets
Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care.
Relation Extraction : A Survey
In this paper, we survey several important supervised, semi-supervised and unsupervised RE techniques.
End-to-End Relation Extraction using Markov Logic Networks
Our end-to-end relation extraction performance is better than 2 out of 3 previous results reported on the ACE 2004 dataset.
Topics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification
We propose a Label Propagation based algorithm for weakly supervised text classification.
