ELMO, ST.
SOURCE: SOURce Conditional Elmo style Model for Machine Translation Quality Estimation
... Quality estimation (QE) of machine transla- tion (MT) systems is a task of growing im- portance. It reduces the cost of post-editing, allowing machine-translated text to be used in formal occasions. In this work, we de- ...
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Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
... errors ELMo helps resolve, and how this compares with the types of errors that occur when LISA is pro- vided with a gold ...indicate ELMo mod- els, while dotted lines indicate models trained with ...With ...
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STUFIIT at SemEval 2019 Task 5: Multilingual Hate Speech Detection on Twitter with MUSE and ELMo Embeddings
... The input layer is fed into a convolutional layer. This layer performs a 1d convolution with 100 fil- ters and a kernel size of 4 with a relu activation function. This is then max pooled with a pool size of 4 and stride ...
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NSIT@NLP4IF 2019: Propaganda Detection from News Articles using Transfer Learning
... Bidirectional Encoder Representations from Transformers (BERT) outperformed most of the existing systems on various NLP tasks by us- ing a masked language model (MLM) pre-training method. Moreover, instead of reading the ...
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Contextualized Representations for Low resource Utterance Tagging
... using ELMo); Random Initialization - with the conversational encoder ran- domly initialized and trained on only the down- stream tagging task; Freeze Network - the conver- sational encoder initialized using the ...
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The Rac1 regulator ELMO controls basal body migration and docking in multiciliated cells through interaction with Ezrin
... for ELMO and Ezrin in guiding the maturing basal bodies to the cell surface, in their docking, and in their correct spacing underneath the apical membrane in ...
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How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT 2 Embeddings
... as ELMo and BERT? Are there infinitely many context-specific representations for each word, or are words essentially assigned one of a finite number of word-sense representations? For one, we find that the ...
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The ELMO MBC complex and RhoGAP19D couple Rho family GTPases during mesenchymal to epithelial like transitions
... Fig. 8. RhoGAP19D regulates Rac1, Rho1 and myosin activities. (A) Maximal intensity z-stack projections of wild-type and elmo mutant leading edges and cadherin seams, which express DE-cadherin-Tomato and spaghetti ...
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Linguistic Knowledge and Transferability of Contextual Representations
... Contextual word representations derived from large-scale neural language models are suc- cessful across a diverse set of NLP tasks, suggesting that they encode useful and trans- ferable features of language. To shed ...
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Synchronizing early Eocene deep-sea and continental records – cyclostratigraphic age models for the Bighorn Basin Coring Project drill cores
... Because records from both realms show precession- dominated cyclicity, it should be possible to correlate and synchronize them. In summer 2011, the Bighorn Basin Cor- ing Project (BBCP) drilled 900 m of overlapping cores ...
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Team Bertha von Suttner at SemEval 2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network
... In order to investigate the correlation be- tween the two datasets, we first built the ESRC-publisher model which is trained on a randomly selected 100K out of the 750K articles from the by-publisher corpus, as it is ...
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Identification of Adjective Noun Neologisms using Pretrained Language Models
... and ELMo methods present a similar result with GloVe dimensionality of 100 or 200, suggesting that the use of pretrained models in general is helpful for the identification of neological adjective-noun ...
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Structural Correlates of Depressive Symptoms in Prodromal Alzheimer’s Disease
... *Subjects selected for the present investigation, NC: normal cognition; MRI: magnetic resonance imaging; MCI: mild cognitive impairment; AD: Alzheimer’s disease; ELMO: Observational Mul[r] ...
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Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
... the ELMo model pre-trained on PubMed abstracts (Peters et ...of ELMo em- beddings of each token is used as input for the fine-tuning ...in ELMo and concatenated them into one vector for each ...
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ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
... representation, ELMo (Peters et ...of ELMo ob- tain larger improvements for tasks with small train set (sample efficient), indicating that smaller treebanks deprived of useful information could potentially ...
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An Investigation of Transfer Learning Based Sentiment Analysis in Japanese
... This research is a work in progress and will be regularly updated with new benchmarks and base- lines. We showed that with only 1 3 of the total dataset, transfer learning approaches perform bet- ter than previous ...
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Can You Tell Me How to Get Past Sesame Street? Sentence Level Pretraining Beyond Language Modeling
... The main contribution of this paper is a large- scale systematic study of these two questions. For the first question, we train reusable sentence en- coders on 19 different pretraining tasks and task combinations and ...
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Sigmorphon 2019 Task 2 system description paper: Morphological analysis in context for many languages, with supervision from only a few
... Prior research has shown embedded word vector representations are capable of capturing contex- tual nuances in meaning beyond one sense per word (Arora et al., 2018, for example). Because context variance is an important ...
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HHU at SemEval 2019 Task 6: Context Does Matter Tackling Offensive Language Identification and Categorization with ELMo
... Embeddings from Language Models (ELMo) Traditional pre-trained word representations merely contain meaning based on statistical in- formation and therefore struggle with word-sense disambiguation. Since offensive ...
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An ELMo inspired approach to SemDeep 5’s Word in Context task
... We discovered several improved ways of us- ing ELMo-type contextualized word embed- dings to perform word sense disambiguation in the Word-in-Context task. When the forward and backward LSTMs were trained jointly, ...
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