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We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combina- tion of labeled and unlabeled …...

This paper presents a semi-supervised train- ing method for linear-chain conditional ran- dom fields that makes use of labeled features rather than labeled instances. This is accom- plished by using …...

We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a dis- criminative, convex, semi-supervised learning …...

We describe a new scalable algorithm for semi-supervised training of conditional ran- dom fields (CRF) and its application to part- of-speech (POS) tagging. The algorithm uses a similarity graph to …...

AbstractThe term “event extraction” covers a wide range of information extraction tasks, and methods developed and evaluated for one task may prove quite unsuitable for another. Understanding these task differences …...

This paper describes DUALIST, an active learning annotation paradigm which solicits and learns from labels on both features (e.g., words) and instances (e.g., documents). We present a novel semi-supervised training …...

AbstractThis paper explores the use of Adaptor Grammars, a nonparametric Bayesian modelling framework, for minimally supervised morphological segmentation. We compare three training methods: unsupervised training, semi-supervised training, and a novel …...

AbstractWe present a latent variable model for predicting the relationship between a pair of text sequences. Unlike previous auto-encoding–based approaches that consider each sequence separately, our proposed framework utilizes both …...

AbstractAutomatic dialogue response evaluator has been proposed as an alternative to automated metrics and human evaluation. However, existing automatic evaluators achieve only moderate correlation with human judgement and they are …...

AbstractThis paper reports on the semi-supervised development of acoustic and language models for under-resourced, code-switched speech in five South African languages. Two approaches are considered. The first constructs four separate …...