[PDF] Top 20 Dependency Parser Adaptation with Subtrees from Auto Parsed Target Domain Data
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Dependency Parser Adaptation with Subtrees from Auto Parsed Target Domain Data
... of domain adap- tation problem—fully supervised case in which there are a small amount of labeled data in the target domain, and semi-supervised case in which there are no labeled data ... See full document
6
Domain Adaptation of a Dependency Parser with a Class Class Selectional Preference Model
... MST parser and a significant increase in the domain adaptation ...4.3 Domain adaptation of dependency parsing Domain adaptation for dependency parsing has ... See full document
6
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser
... abstract domain (JNL), it out- performed the random baseline while using only 60% of the amount of labeled ...labeled data. In terms of target domain data that must be prepared, it is ... See full document
9
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
5
Detecting Errors in Automatically Parsed Dependency Relations
... high-quality dependency parses in applications such as statistical machine transla- tion (Xu et ...high-quality dependency annotation, for the training and evaluation of dependency parsers (Buchholz ... See full document
10
Semi supervised Dependency Parsing using Bilexical Contextual Features from Auto Parsed Data
... Our derived features improve the accuracy of a first-order dependency parser by 0.75 UAS points (absolute) when evaluated on the in-domain WSJ test-set, obtaining a final accuracy of 92.32 UAS for a ... See full document
6
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation
... CCG Parser In each of the fol- lowing domain adaptation experiments, newly ob- tained CCGbanks are used to fine-tune the param- eters of the baseline parser described above, by re-training it ... See full document
11
Exploring Options for Fast Domain Adaptation of Dependency Parsers
... during parser testing. In addition, a certain amount of unlabelled target domain texts may be available that can be leveraged in this or that way to facilitate domain ...of domain ... See full document
12
Improving Dependency Parsing with Subtrees from Auto Parsed Data
... tain dependency parsers with high accuracy, super- vised techniques require a large amount of hand- annotated ...hand-annotated data are very expensive, large-scale unannotated data can be obtained ... See full document
10
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
... a data-driven variant of the LR algorithm for dependency parsing, and ex- tend it with a best-first search for probabil- istic generalized LR dependency ...parsing. Parser actions are ... See full document
7
Semi supervised Domain Adaptation for Dependency Parsing
... labeled data, most previous works on cross-domain parsing, in- cluding the aforementioned shared tasks, assume there is no labeled target-domain training data and thus focus on ... See full document
10
Fine grained Knowledge Fusion for Sequence Labeling Domain Adaptation
... in domain adaptation often try to find a subset of source domain data to align with the target domain data (Chopra et ...source data sample or construct a common ... See full document
10
Building a Web Scale Dependency Parsed Corpus from CommonCrawl
... a dependency parser and with a named entity tagger and contain provenance information, enabling various applications ranging from training syntax-based word embeddings to open information extraction ... See full document
8
Self Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets
... a parser trained with a small dataset we expect the coverage of the parser to increase, since the combined training set should contain items that the seed dataset does ...a parser is poor (see the no ... See full document
8
Hybrid Ways to Improve Domain Independence in an ML Dependency Parser
... global dependency (root and coordination), the help provided by the rule based analysis, also had indirect benefits by providing a better point of departure for other at tachments, among other things because ... See full document
5
Dependency based Pre ordering for Chinese English Machine Translation
... our dependency systems outper- formed WR07 slightly but were not significant at p = ...the dependency parse trees were more concise than the constituent parse trees in describing sentences and they could ... See full document
6
Domain Adaptation for Dependency Parsing via Self Training
... inal dependency tree and the tree with the changed ...aspects from that of Mejer and Crammer ...labeled dependency trees in contrast to Mejer and Cram- mer ... See full document
10
A Data Driven, Factorization Parser for CCG Dependency Structures
... torization parser, we employ the dual decomposi- tion ...Different from their concern on integrating syntac- tic parsing and semantic role labeling under 1st- order factorization, we are interested in ... See full document
11
Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task
... collocations from large domain ...a dependency relation is aug- mented for collocations above a certain ...biomedical domain when using a standard tagger, as we have shown in (Rinaldi et ... See full document
5
Sentence Embedding for Neural Machine Translation Domain Adaptation
... of data is becoming available for NMT training. However, only the in-domain or related- domain corpora tend to have a positive impact on NMT ... See full document
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