[PDF] Top 20 What’s in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation
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What’s in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation
... the word vector corre- sponding to a word will always be classified the same, even though the correct classification might depend on the context, ...the word put can be- long to different tense ... See full document
7
Geographical Evaluation of Word Embeddings
... While the mean geographic distance is a good metric for a global view, it does not take the lo- cal structure into account, i.e. a random model moves the cities in all directions and breaks the lo- cal structure (nearest ... See full document
9
Analyzing the Limitations of Cross lingual Word Embedding Mappings
... that embedding spaces in different languages have a similar structure ...in embedding spaces, which in turn heavily hinders the performance of these methods (Søgaard et ... See full document
6
Evaluation of acoustic word embeddings
... intrinsic evaluation of acoustic word ...acoustic word embeddings and compare them to their orthographic embeddings: orthographic and phonetic performance by ranking pairs and mea- ... See full document
5
Language Modelling Makes Sense: Propagating Representations through WordNet for Full Coverage Word Sense Disambiguation
... ELMo embeddings didn’t outperform ELMo k-NN with MFS fallback, suggesting that it’s necessary to achieve a minimum competence level of embed- dings from sense annotations (and glosses) before the inferred sense ... See full document
10
Evaluation of Croatian Word Embeddings
... To the best of our knowledge, only small portion of re- cent studies attempted evaluating Croatian word embed- dings. In a review of works that evaluate syntactic and se- mantic analogies, we have encountered only ... See full document
7
An evaluation of Czech word embeddings
... sub- word information into embeddings (which is, among other, motivated by morphologically rich languages), models trained on lemmata perform better that their counterparts trained on ... See full document
11
Using bilingual word embeddings for multilingual collocation extraction
... From this analyzed corpus, we extract the word pairs belonging to the desired relations (colloca- tion candidates). On the one hand, we keep their surface forms, POS-tags, and other syntactic de- pendents which ... See full document
10
Joint learning of frequency and word embeddings for multilingual readability assessment
... quency embeddings and the frequency and word embeddings can be learned separated and finally concatenate before going to the fully connected ...frequency embeddings and word em- ... See full document
5
Aligning Multilingual Word Embeddings for Cross Modal Retrieval Task
... shared multilingual text encoder by adapting the align- ment between languages for image-description re- trieval task while ...of word embeddings in multiple languages. Through experiments ... See full document
7
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling
... In this paper we propose and carefully eval- uate a sequence labeling framework which solely utilizes sparse indicator features de- rived from dense distributed word represen- tations. The proposed model obtains ... See full document
16
Learning Multilingual Word Embeddings Using Image Text Data
... producing multilingual embeddings has relied on crosslingual human-labeled data, such as bilingual lexicons (Mikolov et ...bilingual embeddings for En- glish and French, it may be useful to leverage ... See full document
10
Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task
... our multilingual align- ment method in English, German, Spanish, and Italian: the Global Industry Classification Standard (GICS) and the In- dustry Classification Benchmark ... See full document
7
Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs
... bilingual word embedding space can be in- duced by projecting monolingual word embed- ding spaces from two languages using a self- learning paradigm without any bilingual super- ...tilingual ... See full document
13
Deep Multilingual Correlation for Improved Word Embeddings
... Word embeddings have been found useful for many NLP tasks, including part-of-speech tagging, named entity recognition, and pars- ...Adding multilingual context when learn- ing embeddings can ... See full document
7
Deep neural model with enhanced embeddings for pharmaceutical and chemical entities recognition in Spanish clinical text
... concept embeddings and analyze why its performance is lower than the medi- cal word ...train word embeddings obtained from mul- tiple multilingual biomedical corpus to obtain ... See full document
9
GlobalTrait: Personality Alignment of Multilingual Word Embeddings
... using multilingual embeddings plus the GlobalTrait aligned embeddings In both ‘-multi’ and ‘-GlobalTrait’, models, the training set includes both the English and the source language’s train- ing ... See full document
8
Multilingual Training of Crosslingual Word Embeddings
... baseline multilingual word em- beddings, achieving best results for two out of five ...from multilingual training, emphasiz- ing the advantages over bilingual ... See full document
11
Cross Lingual Dependency Parsing with Unlabeled Auxiliary Languages
... We select six auxiliary languages 8 (French, Por- tuguese, Spanish, Russian, German, and Latin) for unsupervised language adaptation via adversarial training. We tune the scaling parameter λ in the range of [0.1, 0.01, ... See full document
11
Domain Adapted Word Embeddings for Improved Sentiment Classification
... monolingual word embed- dings across data sets in different application do- mains/contexts for the purpose of a given down- stream task such as sentiment ...ing word embeddings across different ... See full document
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