[PDF] Top 20 Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
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Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
... Dependency parsing has been utilized in a variety of natural language processing (NLP) applications, such as paraphrase acquisition, relation extraction and machine ...of dependency parsers exceeds ... See full document
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Multilingual Dependency Parsing and Domain Adaptation using DeSR
... Classifier-based dependency parsers (Yamada and Matsumoto, 2003; Nivre and Scholz, 2004) learn from an annotated corpus how to select an appropriate sequence of Shift/Reduce actions to construct the ... See full document
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Unsupervised Linguistically Driven Reliable Dependency Parses Detection and Self Training for Adaptation to the Biomedical Domain
... different parsing models trained on the same dataset; or (McClosky, Charniak, & John- son, 2006), using a discriminative reranker against the output of a n–best generative parser for select- ing the best parse ... See full document
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Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks
... On methodology, the work in Glorot et al., (2011) and Titov (2011) is closely related to ours. They also focus on learning LFRs for domain adaptation. However, their work deals with domain ... See full document
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Learning Reliable Information for Dependency Parsing Adaptation
... tical parsing results produced by the two ...submitted parsing results without adap- ...test domain beyond that of a state-of-the-art ...from adaptation is because of differences in the ... See full document
8
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser
... Japanese dependency parser to new domains, and showed that active learning is not limited to single-domain ...tive learning of structured prediction tasks like ...in- domain training ... See full document
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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 ...ficulty ... See full document
5
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
... other learning approaches, such as memory-based lan- guage processing (Daelemans and Van den Bosch, 2005), could be ...our domain adaptation procedure results in significantly improved accuracy ... See full document
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Semi supervised Domain Adaptation for Dependency Parsing
... Data selection. The product blog (PB) texts are crawled from the Taobao headline website, which contains articles written by users mainly on description and comparison of different commer- cial products. After data ... See full document
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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 ...QuestionBank ... See full document
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Automatic Adaptation of Annotations
... like parsing, summariza- tion, and machine translation, yet it is much smaller in ...For dependency pars- ing, we use the dependency treebank (DCTB) extracted from CTB according to the rules of ... See full document
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Online Learning for Deterministic Dependency Parsing
... deterministic parsing algorithm does not han- dle ...single dependency tree is built during the parsing process from beginning to end (no other trees are even ... See full document
5
A Method to Generate Simplified Systemic Functional Parses from Dependency Parses
... But parsing with SFL grammars is computationally intensive task and parsers for this level of description to date have not been able to operate on unrestricted ...transitivity parses of English sentences ... See full document
10
Unsupervised Parsing for Generating Surface Based Relation Extraction Patterns
... for parsing test data, also increases extraction ...unsupervised parsing, we further- more found that unsupervised parsing not only eliminates the dependency on expensive domain- ... See full document
6
Semi supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks
... representation learning using HMMs and semi-supervised rep- resentation learning using the proposed ...representation learning models (DDNs and HMMs) to derive hidden states as additional features ... See full document
16
Generating Typed Dependency Parses from Phrase Structure Parses
... generating parses with high ...using dependency parses for a range of NLP tasks, from machine translation to question ...adopted dependency representation as their primary annotation format, ... See full document
6
Tree Revision Learning for Dependency Parsing
... improve parsing via re-ranking (Collins, 2000; Charniak & Johnson, 2005; Collins & Koo, ...based learning (Brill, 1993; Brill, 1995; Satta & Brill, 1995) the learning algorithm starts ... See full document
8
An Out-of-Domain Test Suite for Dependency Parsing of German
... created to facilitate research on multilingual treebanks. It consists of four small parallel texts in five different lan- guages (English, French, German, Spanish, Swedish; not all texts are available in all languages). ... See full document
8
Adversarial Training for Cross Domain Universal Dependency Parsing
... Our system outperforms UDPipe in many test treebanks, 69 out of 81 treebanks. We find many cases that UDPipe performs better are when the training teebank is very small, e.g., Kazakh (kk), Ukrainian (uk), and Uyghur ... See full document
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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
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