[PDF] Top 20 Dependency Parsing Domain Adaptation using Transductive SVM
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Dependency Parsing Domain Adaptation using Transductive SVM
... the parsing of a sentence generally depends on the actions taken before, but when we are training on an unannotated sentence, we have no way of knowing what actions the parser should have taken, and thus the state ... See full document
5
Cross Domain Dependency Parsing Using a Deep Linguistic Grammar
... parser adaptation, especially from WSJ to B ROWN ...approaches using a maxi- mum a posteriori (MAP) framework and proposed both supervised and unsupervised adaptation of statistical ... See full document
9
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 ... See full document
12
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
... backward SVM model did im- prove accuracy on the Turkish set significantly, and it is likely that improvements would also be obtained in other ...the SVM parsers we used required significant- ly longer to ... See full document
7
Domain Adaptation for Parsing
... instructions remotely by mobile telephone. The original CReST corpus contains a small number of novel tags to handle phenomena that are com- mon in dialog data but not in newspaper text, such as imperative verbs. These ... See full document
9
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser
... on surface forms and part-of-speech (POS) tags of words, and first-order features between pairs of head and dependent words. Higher-order features that refer to chains of two or more dependencies, like the ones used in ... See full document
9
Improved Parsing and POS Tagging Using Inter Sentence Consistency Constraints
... with domain adaptation and lightly supervised ...for dependency parsing and part-of-speech tagging. For domain adaptation, we show an error reduction of up to ... See full document
11
Learning Reliable Information for Dependency Parsing Adaptation
... source domain training data (STrain), files 271- 300 as source domain testing data (STest) and files 590-596 as target domain testing data ...target domain data was from Sino- rama magazine, ... See full document
8
Improving cross domain dependency parsing with dependency derived clusters
... improve dependency parsing of En- glish web data using ...– using the cluster labels of Turian et ...for parsing with automatically assigned PoS tags (using SVMTool), while less ... See full document
10
Automatic Adaptation of Annotations
... annotation adaptation and previous strategies without using additional training data is ...annotation adaptation can be further improved by adopting the advanced technologies of previous work, such ... See full document
30
Adversarial Training for Cross Domain Universal Dependency Parsing
... a domain adaptation technique with adversarial training for ...pendency parsing model with Bi-LSTMs, we ob- tained a consistent score improvement, especially for the treebanks having less training ... See full document
9
An Out-of-Domain Test Suite for Dependency Parsing of German
... particular domain is ...in domain adaptation specifically targets these issues and strives to develop models that generalize better to new do- mains, thus handling domain shifts more ... See full document
8
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
Frustratingly Hard Domain Adaptation for Dependency Parsing
... to adaptation is to favor training examples that are similar to the ...the domain of each sentence based on POS n-grams in the ...target domain received higher weights, also without ... See full document
5
Multilingual Dependency Parsing and Domain Adaptation using DeSR
... Certain languages, such as Catalan, use detailed dependency labeling, that for instance distinguish between adverbials of location and time. We ex- ploited this information by introducing a feature that captures ... See full document
7
Domain Adaptation for Dependency Parsing via Self Training
... source domain training data, we use the CoNLL 2009 training dataset, ...each domain after we pre-processed them by removing sentences that are longer than 500 to- kens or containing non-English words which ... See full document
10
Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
... The baseline parser was trained only on the PTB labeled data (as described in Section 1). The pro- posed method (PTB+unlabel (18,000 sents.)) out- performed the baseline by approximately 0.5%, and also beat all the ... See full document
6
A Domain Restricted, Rule Based, English Hindi Machine Translation System Based on Dependency Parsing
... correct dependency attr(are-2, ...incorrect dependency dep(are-2, ...the dependency parse In the sentence Also, remove all the rotten fruits and tips and destroy them, all three parsers derive ... See full document
9
Semi supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks
... To tackle this issue, in this paper we propose a semi-supervised Dynamic Dependency Network (DDN) model to induce task-specific discriminative latent features across domains. In addi- tion to exploiting large ... See full document
16
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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