[PDF] Top 20 Domain Adaptation with BERT based Domain Classification and Data Selection
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Domain Adaptation with BERT based Domain Classification and Data Selection
... novel domain adap- tation framework, in which the idea of domain- adversarial training is effectively executed in two separate ...a BERT-based domain classifier is trained on ... See full document
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Domain Adaptation via Pseudo In Domain Data Selection
... efficient domain adaptation for the task of statistical machine translation based on extracting sentences from a large general- domain parallel corpus that are most relevant to the target ... See full document
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Entropy based Training Data Selection for Domain Adaptation
... Training data selection is a common approach to domain ...test data to improve ...ing data selection and test their effectiveness on two tasks: Chinese word segmentation and POS ... See full document
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Reinforced Training Data Selection for Domain Adaptation
... source data still performs the best on some domains, which can be explained by the com- plexity of the ...of data might be more helpful because various contextual information is bene- ficial in text ... See full document
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Edit Distance: A New Data Selection Criterion for Domain Adaptation in SMT
... regard data selection as a prob- lem of scoring the sentences in a general corpus via different similarity ...state-of-the-art data selection methods for SMT adaptation, we propose edit ... See full document
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Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation
... Data selection is an effective approach to domain adaptation in statistical ma- chine ...for data se- lection: while the improvements are var- ied ...in-domain data and ... See full document
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PJIIT’s systems for WMT 2017 Conference
... news data sets have a rather a wide domain, but rather not as wide-ranging in topic as the variety of WMT permissible ...defined domain, this presents another considerable ...of domain ... See full document
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An Improved Spectral Feature Alignment for Domain Adaptation in Sentiment Classification
... sentiment classification is extremely sensitive to the variation of domain, thus the sentiment classification model trained in one domain is often not applicable to the data from ... See full document
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Sentiment Domain Adaptation with Multiple Sources
... the domain-specific models, from the da- ta of multiple source domains using multi-task ...source domain. The domain-specific sen- timent model can capture the specific sentiment knowledge in each ... See full document
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Biomedical Relation Classification by single and multiple source domain adaptation
... in data (positive to neg- ative instance ratio ...same domain can contribute to performance enhancement justifying the perfor- mance gains in MSST ...tual BERT[CLS] tokens leads to increase in per- ... See full document
6
Latent Domain Phrase based Models for Adaptation
... latent domain language models or the latent domain translation models? Further experiments have been carried on to neutralize each component type in turn and build a selection system with the rest of ... See full document
11
An Iterative Similarity based Adaptation Technique for Cross domain Text Classification
... main data follow similar distributions and hence, a standard supervised learning algorithm can be trained on the former to predict instances from the ...heuristic based non-linear map- ping of source and ... See full document
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Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks
... kernel- based MMDs to regularizing the fully-connected layers of the networks, such that the mean embedding of data from different domains can be ...Also based on MMD for domain confusion, ... See full document
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SMILE : Twitter emotion classification using domain adaptation
... training data have been successfully used for in-domain sen- timent ...one domain may not work well on other ...is domain adaptation, which allows building models from a fixed set of ... See full document
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Sentence Embedding for Neural Machine Translation Domain Adaptation
... sentence selection methods for PBSMT were also used as baselines: Axelrod et ...out-of-domain data to create a corpus the same size as that used for the best performing proposed ... See full document
7
Attention Based GRU Network for Domain Adaptation in Sentiment Classification
... the domain adaptation of sentiment ...the domain adaptation algorithms, the five domains are paired among them and 20 pairs are obtained for the ...Each domain has 6,000 ... See full document
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Domain Adaptation with Unlabeled Data for Dialog Act Tagging
... main data in order to improve cross-domain train- ing performance, an approach referred to as both unsupervised and semi-supervised domain adapta- tion in the ...ing domain as the source ... See full document
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Unsupervised Domain Adaptation based on Text Relatedness
... labelled data from the target domain, in addi- tion to a large labelled data set from the source ...labelled data from source domain (through weighting) whose distribution does not ... See full document
7
Domain Based Classification of Punjabi Text Documents
... Sources such as jagbani.com. The system has been implemented using C#.net platform. The stopword list is prepared manually contains 2319 words. The data structures used are files and arrays. Stopwords list, ... See full document
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Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification
... adversarial adaptation (lines 4 and 5 in Algorithm 1), we train the model on the explicit and implicit training sets without relation labels Y t , and validate on the implicit ... See full document
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