[PDF] Top 20 Improvements to Training an RNN parser
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Improvements to Training an RNN parser
... Another motivation for this approach comes from considering the process of updating the word- vectors during learning. The back-propagation for the RNN passes through the tree and leaves into the lexicon L. One ... See full document
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Teacher training program for medical students: improvements needed
... Introduction: Skills in peer teaching, assessment, and feedback are increasingly documented internationally as required graduate attributes in medicine. Yet these skills are rarely taught in medical schools. We sought to ... See full document
6
Working memory training in older adults: Bayesian evidence supporting the absence of transfer
... the training intervention did not change ...the training intervention was not intensive enough to change WMC and subsequently produce substantial transfer effects ...intensity training intervention ... See full document
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Parser Adaptation to the Biomedical Domain without Re Training
... duces improvements in F-score of up to 6% in the recovery of dependencies in biomedical ...These improvements were obtained without hav- ing to retrain the parsers, based simply on distri- butional ... See full document
11
Training a Parser for Machine Translation Reordering
... directly training on the output of the baseline model, we generate a list of hypotheses and use an external signal to select the best ...the training data and the model is then ...significant ... See full document
10
Suspension Training Improved Muscular Endurance, Cardiovascular Fitness, and Body Composition in College-Aged Women
... Suspension training (SuT) is a relatively newly popularized mode of exercise that allows individuals to use their body weight for resistance and is typically performed in an interval ...(p<0.001) ... See full document
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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 ... See full document
8
Parser Training with Heterogeneous Treebanks
... when training a mono- lingual dependency parser is an open ques- ...concatenating training sets, with or with- out ...substantial improvements over single treebanks or concatenation, with ... See full document
7
Multitask Parsing Across Semantic Representations
... average improvements resulting from adding each of the tasks as auxiliary (see §8), we find AMR the least beneficial, UD ++ second, and DM the most beneficial, in both in-domain and out-of-domain ...as ... See full document
13
Training with Exploration Improves a Greedy Stack LSTM Parser
... ally, training greedy search systems by paying atten- tion to the expected classifier behavior during test time has been explored under the imitation learning and learning-to-search frameworks (Abbeel and Ng, ... See full document
6
Improved Fully Unsupervised Parsing with Zoomed Learning
... Unsupervised parsing has attracted researchers for over a quarter of a century (see (Clark, 2001; Klein, 2005) for reviews). In recent years efforts have been made to evaluate the algorithms on manually anno- tated ... See full document
10
Predicting Discourse Structure using Distant Supervision from Sentiment
... lation modelling. Joty et al. (2015) further propose to separate the task “vertically” on sentence- and document-level, while Ji and Eisenstein (2014) are using a single Shift-Reduce parser based on lexical ... See full document
11
Turkish Treebanking: Unifying and Constructing Efforts
... The main contribution of this paper is making up for the scarcity of NLP resources in Turkish by annotating a new corpus that has not been intro- duced to the UD project before, namely the TNC (Aksan et al., 2012). The ... See full document
12
Re training Monolingual Parser Bilingually for Syntactic SMT
... for parser re-training), only target spans with less than 4 words can align to null, and such null-aligned sub-tree can only be added no more than 3 ... See full document
9
Comparing the Use of Edited and Unedited Text in Parser Self Training
... of training mate- rial by classifying our development set items into those that have improved as a result of self- training, those that have remained unchanged and those that have ... See full document
5
On WordNet Semantic Classes and Dependency Parsing
... This work has tried to shed light on the contribu- tion of semantic information to dependency pars- ing. The experiments were thorough, testing two treebank conversions and three parsing paradigms on automatically ... See full document
7
Speeding up Context based Sentence Representation Learning with Non autoregressive Convolutional Decoding
... Table 1: The models here all have a bi-directional GRU as the encoder (dimensionality 300 in each direction). The default way of producing the representation is a concatenation of outputs from a global mean-pooling and a ... See full document
10
tweeDe – A Universal Dependencies treebank for German tweets
... Table 2 (left) shows results for gold PoS and for automatically predicted PoS tags. Using UD PoS tags for parsing outperforms the STTS tags by a large margin, probably due to sparsity caused by the more fine-grained ... See full document
9
Multi Source Transfer of Delexicalized Dependency Parsers
... English parser to seed a perceptron learner for the target ...resulting parser con- sistently improves on the directly transferred delex- icalized parser, reducing relative errors by 8% on average, ... See full document
11
The DCU Dependency Based Metric in WMT MetricsMATR 2010
... Malt Parser 1 (Nivre et ...Treebank training data to obtain f-structures, and then the f-structures are converted into dependency trees in CoNLL format to train the parsing ... See full document
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