[PDF] Top 20 Domain Adaptation for Parsing
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Domain Adaptation for Parsing
... We are now in a position to compare the results of the two domain adaptation methods. A first com- parison shows that both methods reach a similar performance: Given the larger PTB training set, the parser ... See full document
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Automatic Domain Adaptation for Parsing
... source domain adaptation has been done for other tasks ...of domain adaptation classification ...source domain plus the “general” pseudodomain (for capturing domain independent ... See full document
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Semi supervised Domain Adaptation for Dependency Parsing
... semi-supervised domain-adaptation scenario, tackled in this work, is less realistic than the unsupervised counterpart, due to need of labeled target-domain training data, which is usually extremely ... See full document
10
Domain Adaptation for Dependency Parsing via Self Training
... for domain adaptation of a dependency parser via ...improve parsing accuracy for out-of-domain texts with a self-training approach that uses confidence-based methods to select ad- ditional ... See full document
10
Dependency Parsing Domain Adaptation using Transductive SVM
... We presented a semi-supervised training ap- proach for shift/reduce SVM parsers and we illus- trated an application to domain adaptation, with small but mostly consistent accuracy gains. While these gains ... See full document
5
Frustratingly Hard Domain Adaptation for Dependency Parsing
... on domain adapta- tion (Ben-David et al., 2006) attributes adaptation loss to two sources: the difference in the distribu- tion between domains and the difference in label- ing ...functions. ... See full document
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Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
... of parsing has exceeded 90% recently, but this is not high enough to use parsing results practically in natural lan- guage processing (NLP) applications such as paraphrase acquisition and relation extrac- ... See full document
6
Multilingual Dependency Parsing and Domain Adaptation using DeSR
... main adaptation tracks of the CoNLL 2007 shared ...Shift/Reduce parsing algorithm, using specific rules to handle non-projective ...the domain adaptation track we applied a tree revision ... See full document
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Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
... One of the simplest improvements to our ap- proach is simply to train more models with no oth- er changes to our set-up. As mentioned in section 5, the addition of a backward SVM model did im- prove accuracy on the ... See full document
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Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks
... on domain adaptation for dependency parsing and SRL are directly related to our ...that domain adaptation is hard for de- pendency parsing based on results in the CoNLL 2007 ... See full document
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Towards Domain Adaptation for Parsing Web Data
... whether parsing could be improved by adding data to the small answer training set 1) from the domain that is easiest to parse: emails, 2) from the news domain because of its similar average sentence ... See full document
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A Word Clustering Approach to Domain Adaptation: Effective Parsing of Biomedical Texts
... We present a simple and effective way to perform out-of-domain statistical parsing by drastically reducing lexical data sparseness in a PCFG-LA architecture. We replace terminal symbols with unsupervised ... See full document
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Hierarchical Bayesian Domain Adaptation
... chart- parsing algorithm (Eisner, 1996), which allows for efficient computation of inside and outside ...erative parsing, decomposes the probability of a de- pendency parse into the probabilities of each ... See full document
9
Frustratingly Easy Domain Adaptation
... CoNLL section of the treebank improves from 5.35 to 5.11. While this improvement is small, it is real, and may carry over to full parsing. The most impor- tant avenue of future work is to develop a formal ... See full document
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Effective Measures of Domain Similarity for Parsing
... on domain adaptation, for in- stance Hara et ...automatic domain selection and adaptation. For parsing, to our knowledge only one recent study has started to examine this issue (Mc- ... See full document
11
Improved Parsing and POS Tagging Using Inter Sentence Consistency Constraints
... Data for Domain Adaptation We perform do- main adaptation experiments in English using the WSJ PennTreebank (Marcus et al., 1993) and the QuestionBank (QTB) (Judge et al., 2006). In the WSJ → QTB ... See full document
11
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction
... with domain changes are essential. This is the problem of domain adapta- tion (DA) or transfer learning ...Technically, domain adaptation addresses the problem of learn- ing when the ... See full document
10
Segmentation for Domain Adaptation in Arabic
... Segmentation serves as an integral part in many NLP applications including Machine Translation, Parsing, and Information Re- trieval. When a model trained on the standard language is applied to dialects, the ... See full document
11
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser
... We combined partial annotation with active learn- ing to adapt a Japanese dependency parser to new domains, and showed that active learning is not limited to single-domain settings. We showed that an entropy-based ... See full document
9
Robust Semantic Parsing with Adversarial Learning for Domain Generalization
... In NLP problems this approach has success- fully been used to train cross-lingual word repre- sentations (Conneau et al., 2017) and to transfer learning from English to low resource languages for POS tagging (Kim et al., ... See full document
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