[PDF] Top 20 Simple task specific bilingual word embeddings
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Simple task specific bilingual word embeddings
... learning bilingual word embeddings, i.e., word em- beddings such that similar words in two different languages end up close in the embedding ...Such bilingual word ... See full document
5
Bilingual Embeddings and Word Alignments for Translation Quality Estimation
... Tables 3 and 4 list the results of examined fea- ture combinations on the development and test parts of QEcorpus, respectively. (The golden truth of the test part was made available only af- ter the outputs submission ... See full document
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Bilingual Word Embeddings for Bilingual Terminology Extraction from Specialized Comparable Corpora
... The first observation that can be seen from Ta- ble 2 is that the results are very low when us- ing the specialized BC corpus only (the maximum obtained MAP is 20.8% for the Concat model). The second observation is that ... See full document
9
On the Role of Seed Lexicons in Learning Bilingual Word Embeddings
... A simple yet effective reliability reliability feature for transla- tion pairs is the symmetry constraint (Peirsman and Padó, 2010; Vuli´c and Moens, 2013) : two words x i ∈ V S and y i ∈ V S are used as seed ... See full document
11
Learning Bilingual Word Embeddings Using Lexical Definitions
... for bilingual word embedding ...connects word semantics within and across human ...non-trivial task. A straightforward ap- proach based on aligning the target word embed- ding to the ... See full document
6
A Distribution based Model to Learn Bilingual Word Embeddings
... This work is inspired by theory on domain adaptation (Ben-David et al., 2006; Ben-David et al., 2010) which suggest that, for effective domain transfer, predictions must be made based on data representations that cannot ... See full document
10
Using bilingual word embeddings for multilingual collocation extraction
... The unpredictability of these structures involves problems for tasks such as machine translation, whose performance can benefit from lists of mul- tilingual collocations (or transfer rules for these units) (Orliac and ... See full document
10
Learning Crosslingual Word Embeddings without Bilingual Corpora
... a simple framework based on a large noisy ...learn bilingual cor- respondences from monolingual ...and bilingual properties of ...induction task, competitive result on monolingual word ... See full document
11
Detecting Cybersecurity Events from Noisy Short Text
... domain-specific word embeddings and task-specific features using neural ...contextual embeddings for detecting cyber security ... See full document
7
Semi-Supervised Multi-Task Word Embeddings
... improving word meta-embeddings by reconstructing an ensemble of word vectors while also learning to pre- dict word similarity whereby the hidden layer representa- tion is shared between both ... See full document
9
Best Practices for Learning Domain Specific Cross Lingual Embeddings
... the task performance over generic ...a bilingual dictionary (MUSE) em- ployed by previous NLP research performs much better than typical free online resource dictionary ...the task metric ...lingual ... See full document
5
Aligning Multilingual Word Embeddings for Cross Modal Retrieval Task
... adapt word embeddings for the task at ...of word embeddings while keeping the two lan- guages aligned during training, building a task- specific shared embedding space for ... See full document
7
Task Oriented Learning of Word Embeddings for Semantic Relation Classification
... for word embeddings designed for relation classification. Our word embeddings are trained by predicting words between noun pairs using lexical relation-specific fea- tures on a large ... See full document
11
Bilingual Word Embeddings from Non Parallel Document Aligned Data Applied to Bilingual Lexicon Induction
... induce bilingual word embeddings from non-parallel data without any other readily avail- able translation resources such as pre-given bilin- gual lexicons; (2) We demonstrate the utility of BWEs ... See full document
7
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 ... See full document
9
Learning Bilingual Sentiment Word Embeddings for Cross language Sentiment Classification
... learned bilingual representations with aligned sentences through- out two phases: the language-specific represen- tation learning phase and the shared representa- tion learning ...learn bilingual ... See full document
11
En Ar Bilingual Word Embeddings without Word Alignment: Factors Effects
... of word segmenta- tion as a pre-processing step to minimise the dif- ferences between Arabic and English as well as its effects on SMT ...that simple segmentation performs better than complex segmentation ... See full document
11
SWOW 8500: Word Association task for Intrinsic Evaluation of Word Embeddings
... of embeddings on five tasks (Sentiment Analysis, Chunking, Natural Language Inference, Named Entity Recognition, and POS Tagging) using the VecEval framework (Nayak et ...a simple left-to-right traversal ... See full document
9
Shared Private Bilingual Word Embeddings for Neural Machine Translation
... translation task, as shown in Ta- ble ...well-trained embeddings to distinguish the homographs of sub- ...target embeddings benefit from the shared fea- tures, which leads to better word ... See full document
10
Cross Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon
... not. Bilingual speakers do know which is the right word-picture match and perform ...decision task in English were found to be faster than ex- pected for words like type, a near true friend with a ... See full document
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