What should/do/can LSTMs learn when parsing auxiliary verb constructions?
… 30 epochs for all these treebanks and pick the model of the best … (2018) except for the
character BiLSTM values: We set the … We follow Belinkov (2018) and choose to work with an MLP …
character BiLSTM values: We set the … We follow Belinkov (2018) and choose to work with an MLP …
82 treebanks, 34 models: Universal dependency parsing with multi-treebank models
… We present the Uppsala system for the CoNLL 2018 Shared Task on universal dependency
… a single parsing model for each treebank, we trained models with multiple treebanks for one …
… a single parsing model for each treebank, we trained models with multiple treebanks for one …
[PDF][PDF] Universal Dependency Parsing at Uppsala University
… where one or more languages have multiple treebanks. In the 2018 CoNLL Shared Task,
we use only 34 models to … 82 treebanks, 34 models: Universal dependency parsing with multi…
we use only 34 models to … 82 treebanks, 34 models: Universal dependency parsing with multi…
82 Treebanks, 34 Models: Universal Dependency Parsing with Cross-Treebank Models
… a single parsing model for each treebank, we trained models with multiple treebanks for the
same language or closely related languages, greatly reducing the number of models. On the …
same language or closely related languages, greatly reducing the number of models. On the …
Recursive subtree composition in LSTM-based dependency parsing
… 2018). This raises the question of whether features extracted with … Data We test our models
on a sample of treebanks from … We thank Sara Stymne and Aaron Smith for many discus…
on a sample of treebanks from … We thank Sara Stymne and Aaron Smith for many discus…
[PDF][PDF] Parameter Sharing in Multilingual Dependency Parsing
M de Lhoneux - Thanks to our sponsors: Gold: Stora Skuggans …, 2018 - diva-portal.org
… Since our parser has three basic sets of model parameters, we … For all 10 languages, we
use treebanks from the Universal … I also thank Joakim Nivre, Sara Stymne and Aaron Smith for …
use treebanks from the Universal … I also thank Joakim Nivre, Sara Stymne and Aaron Smith for …
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing--A Tale of Two Parsers Revisited
… multilingual cased model provided by Google,34 which is trained … 82 treebanks, 34 models:
Universal dependency parsing … Smith, Miryam de Lhoneux, Sara Stymne, and Joakim Nivre. …
Universal dependency parsing … Smith, Miryam de Lhoneux, Sara Stymne, and Joakim Nivre. …
Parsing with pretrained language models, multiple datasets, and dataset embeddings
R Van Der Goot, M de Lhoneux - arXiv preprint arXiv:2112.03625, 2021 - arxiv.org
… We use two training setups for our baselines: 1) monolingual models (MONO) and 2)
models where all treebanks are concatenated (CONCAT). This is in contrast to Smith et al. (2018) …
models where all treebanks are concatenated (CONCAT). This is in contrast to Smith et al. (2018) …
Parameter sharing between dependency parsers for related languages
… Since our parser has three basic sets of model parameters, we … Datasets For all 10 languages,
we use treebanks from the … sharing parameters when using larger treebanks, we find it in…
we use treebanks from the … sharing parameters when using larger treebanks, we find it in…
An investigation of the interactions between pre-trained word embeddings, character models and POS tags in dependency parsing
… be related to the number of entities being embedded (Shao… 2018). In Table 4, we show
how LAS varies with a few values … character models are very effective for Finnish, a treebank …
how LAS varies with a few values … character models are very effective for Finnish, a treebank …