[PDF] Top 20 Error Mining in Parsing Results
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Error Mining in Parsing Results
... whose parsing failed, and thus without tak- ing into account the fact that there is (at least) one cause of error in each unparsable ...which parsing failed, for the form that has the highest ... See full document
8
Dependency Parsing of Hungarian: Baseline Results and Challenges
... when parsing is based on gold standard POS-tags, their recognition is al- most perfect while it is a frequent source or er- rors in the CoNLL-2009 ...this error type is much higher in English even when the ... See full document
11
Phrase Dependency Parsing for Opinion Mining
... Kobayashi et al. (2007) presented their work on extracting opinion units including: opinion holder, subject, aspect and evaluation. Subject and aspect belong to product features, while evaluation is the opinion ... See full document
9
Analysis of Student Performance using Machine Learning Techniques
... Data mining helps to extract the knowledge from available dataset and should be created as knowledge intelligence for the benefit of the ...the results in terms of error rate metrics in data ... See full document
9
Confidence Measures for Error Discrimination in an Interactive Predictive Parsing Framework
... of parsing is to pre- cisely determine the syntactic structure of sen- tences written in one of the several languages that humans ...duce results that are erroneous to some extent, and as such unsuitable ... See full document
9
Error Mining for Wide Coverage Grammar Engineering
... As we all know, hand-crafted linguistic descriptions such as wide-coverage grammars and large scale dictionaries contain mistakes, and are incomplete. In the context of parsing, people often construct sets of ... See full document
8
Mining Fine-grained Opinion Expressions with Shallow Parsing
... the results of J&M’s system is computed using 10-fold cross validation, whereas we used 5-fold cross validation, in addition to this the test data of J&M is not the same with our sys- ... See full document
9
Error Mining on Dependency Trees
... years, error mining approaches were developed to help identify the most likely sources of parsing failures in parsing sys- tems using handcrafted grammars and lexi- ...for mining trees ... See full document
9
Constraint-Based Parsing as an Efficient Solution: Results from the Parsing Evaluation Campaign EASy
... different results corresponding with what we could foresee: the shallow parser (LPL2) is globally less efficient than the two ...in parsing and determinization techniques can significantly explain the ... See full document
6
Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution
... involved mining the WordNet taxonomy and the Wikipedia encyclopedic knowledge base, as well as including semantic parsing information, in order to induce semantic features for coreference ...Empirical ... See full document
8
Joint prediction in MST style discourse parsing for argumentation mining
... best results for all mstparser models, but is still sig- nificantly outperformed by EG equal in all tasks except attachment ...best results, the improve- ment of MP+p+r over EG equal is significant for ... See full document
11
Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing
... Learning to Search (L2S) is probably the most prominent line of research that applies reinforce- ment learning (more precisely, imitation learn- ing) to NLP. Various algorithms, e.g. SEARN (Daumé III et al., 2009) and ... See full document
11
Efficient Structured Inference for Transition Based Parsing with Neural Networks and Error States
... dependency parsing experiments, we only use pre-trained embeddings for the words that occurred at least twice in sections 02–21 of the PTB ...our results will show (sec- tion ... See full document
14
Treebank Annotation Schemes and Parser Evaluation for German
... Our error insertion and past-parsing treebank-encoding experiments experiments show that the differences in parsing results for the two treebanks are not caused by a higher number of errors in ... See full document
10
Error Analysis of Cross lingual Tagging and Parsing
... The system evaluated in this paper is a new version of the aforementioned SFNW (Rosa et al., 2017), improved and generalised according to our experiments and findings of other researchers, such as Tiede- mann (2014). The ... See full document
13
Treelet Probabilities for HPSG Parsing and Error Correction
... the results for the treelet model are to some degree better than for the other models (see Table 3), however the statistical significance tests - binomial test, population proportions and analysis of variance, - ... See full document
6
Error repair Dependency Parsing for Ungrammatical Texts
... In the second experiment, we use the Treebank of Learner English (TLE) (Berzak et al., 2016) to see the grammaticality improvement in a real sce- nario. TLE contains 5,124 sentences and 2.69 (std 1.9) token errors per ... See full document
7
Lemmatization and Lexicalized Statistical Parsing of Morphologically Rich Languages: the Case of French
... the results of two sets of experiments to evaluate the impact of lemmatiza- tion on the lexicalized statistical parsing of two lan- guages, one morphologically rich (French), but with none of its ... See full document
9
Joint Chinese Word Segmentation, POS Tagging and Parsing
... For the POS tagging only task that takes gold s- tandard word segmentation as input, we have two systems. One uses the linear chain CRFs as de- scribed in Section 3.2, the other is obtained using the parser described in ... See full document
11
Neural Shift Reduce CCG Semantic Parsing
... perform beam search to recover the top-k parses. The beam contains configurations. At each step, we expand all configurations with all actions, and keep only the top-k new configurations. To promote di- versity in the ... See full document
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