2009 SemiSupervisedSequenceLabe
- (Qi et al., 2009) ⇒ Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, and Jason Weston. (2009). “Semi-Supervised Sequence Labeling with Self-Learned Features.” In: Proceedings of the Ninth IEEE International Conference on Data Mining, (ICDM 2009). doi:10.1109/ICDM.2009.40
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Abstract
Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of labeled words. To tackle this issue, we propose a semi-supervised approach to improve the sequence labeling procedure in IE through a class of algorithms with self-learned features (SLF). A supervised classifier can be trained with annotated text sequences and used to classify each word in a large set of unannotated sentences. By averaging predicted labels over all cases in the unlabeled corpus, SLF training builds class label distribution patterns for each word (or word attribute) in the dictionary and re-trains the current model iteratively adding these distributions as extra word features. Basic SLF models how likely a word could be assigned to target class types. Several extensions are proposed, such as learning words' class boundary distributions. SLF exhibits robust and scalable behaviour and is easy to tune. We applied this approach on four classical IE tasks: named entity recognition (German and English), part-of-speech tagging (English) and one gene name recognition corpus. Experimental results show effective improvements over the supervised baselines on all tasks. In addition, when compared with the closely related self-training idea, this approach shows favorable advantages.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2009 SemiSupervisedSequenceLabe | Yanjun Qi Pavel Kuksa Ronan Collobert Kunihiko Sadamasa Koray Kavukcuoglu Jason Weston | Semi-Supervised Sequence Labeling with Self-Learned Features | ICDM 2009 Proceedings | 10.1109/ICDM.2009.40 | 2009 |