We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative model with latent variables on the mixture of data from the source and target domains. Such a model would cluster features in both domains and ensure that at least some of the latent variables are predictive of the label on the source domain.
Distributional similarity has been widely used to capture the semantic relatedness of words in many NLP tasks. However, various parameters such as similarity measures must be handtuned to make it work effectively. Instead, we propose a novel approach to synonym identiﬁcation based on supervised learning and distributional features, which correspond to the commonality of individual context types shared by word pairs. Considering the integration with pattern-based features, we have built and compared ﬁve synonym classiﬁers. ...
This paper focuses on identifying, extracting and evaluating features related to syntactic complexity of spontaneous spoken responses as part of an effort to expand the current feature set of an automated speech scoring system in order to cover additional aspects considered important in the construct of communicative competence.
Transition-based dependency parsers generally use heuristic decoding algorithms but can accommodate arbitrarily rich feature representations. In this paper, we show that we can improve the accuracy of such parsers by considering even richer feature sets than those employed in previous systems. In the standard Penn Treebank setup, our novel features improve attachment score form 91.4% to 92.9%, giving the best results so far for transitionbased parsing and rivaling the best results overall. For the Chinese Treebank, they give a signﬁcant improvement of the state of the art. ...
This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task. Designed with the purpose of clustering complex linguistic objects, these models consider a potentially inﬁnite number of features and categorical outcomes. The evaluation performed for solving both within- and cross-document event coreference shows signiﬁcant improvements of the models when compared against two baselines for this task.
We investigate the tasks of general morphological tagging, diacritization, and lemmatization for Arabic. We show that for all tasks we consider, both modeling the lexeme explicitly, and retuning the weights of individual classiﬁers for the speciﬁc task, improve the performance.
The algorithm is implemented on top of the Selective Gain Computation (SGC) algorithm (Zhou et al., 2003), which offers fast training and high quality models. Theoretically, the new algorithm is able to explore an unlimited amount of features. Because of the improved capability of the CME algorithm, we are able to consider many new features and feature combinations during model construction.
Various feature descriptions are being employed in constrained-based grammar formalisms. The common notational primitive of these descriptions are functional attributes called features. The descriptions considered in this paper are the possibly quantified first-order formulae obtained from a signature of features and sorts. We establish a complete firstorder theory F T by means of three axiom schemes and construct three elementarily equivalent models. One of the models consists of so-called feature graphs, a data structure common in computational linguistics. ...
Many different types of features have been shown to improve accuracy in parse reranking. A class of features that thus far has not been considered is based on a projection of the syntactic structure of a translation of the text to be parsed. The intuition for using this type of bitext projection feature is that ambiguous structures in one language often correspond to unambiguous structures in another. We show that reranking based on bitext projection features increases parsing accuracy significantly. ...
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In order to understand and manage our air quality resources, it is necessary to gain
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From a local perspective, it may be considered desirable to install huge fans in
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“Kirk told me I could buy beer at the petrol station,” was the first sentence I heard out
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