[PDF] Top 20 Cross Lingual Learning to Rank with Shared Representations
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Cross Lingual Learning to Rank with Shared Representations
... Cross-lingual information retrieval (CLIR) is a document retrieval task where the docu- ments are written in a language different from that of the user’s query. This is a chal- lenging problem for ... See full document
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Effective shared representations with Multitask Learning for Community Question Answering
... Question–Answer Similarity. Yao et al. (2013) used a conditional random field trained on a set of powerful features, such as tree-edit distance be- tween question and answer trees. Heilman and Smith (2010) used a linear ... See full document
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Choosing Transfer Languages for Cross Lingual Learning
... of cross-lingual transfer (including phylo- genetic similarity, typological properties, lex- ical overlap, or size of available data), even the most enlightened experimenter rarely con- siders all these ... See full document
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Limitations of Cross Lingual Learning from Image Search
... whether learning cross-lingual repre- sentations for other POS from images is ...we rank trans- lations computing similarities between image sets and evaluate performance on this ... See full document
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Cross Lingual Transfer Learning for POS Tagging without Cross Lingual Resources
... Bidirectional Language Modeling Rei (2017) showed the effectiveness of the bidirectional lan- guage modeling objective, where each time step of the forward LSTM outputs predicts the word of the next time step, and each ... See full document
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Exploring Distributional Representations and Machine Translation for Aspect based Cross lingual Sentiment Classification
... aspect-based cross-lingual sentiment classification (aspect-based CLSC) for under-resourced ...zero-shot learning, bilingual word embeddings, stacked denoising autoen- coder representations ... See full document
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Dependency Parsing of Code Switching Data with Cross Lingual Feature Representations
... The cross-lingual representation learning method is focused on learning cross- lingual features by aligning (or mapping) feature representations ...general, ... See full document
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Cross Lingual Word Representations via Spectral Graph Embeddings
... vector representations is K = 40, 100, or ...vector representations are measured by the unweighted cosine similar- ity in CL-LSI and ...semi-supervised learning where sentence-alignment is specified ... See full document
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Sparse Bilingual Word Representations for Cross lingual Lexical Entailment
... for learning representations that cap- ture context of words in two different languages in the ...as cross-lingual correspondences from translated ...word representations in monolin- ... See full document
11
Cross Lingual Syntactically Informed Distributed Word Representations
... of cross-lingual information results in a shared cross-lingual word vector space (SCLVS), which leads to improvements on monolingual tasks (typ- ically word similarity) (Faruqui and ... See full document
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Exploiting Cross-Lingual Representations For Natural Language Processing
... the cross-lingual alignment, which is an expensive resource not available for many languages (Lopez and Post, ...of cross-lingual alignment, to ensure that the representations for ... See full document
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Unsupervised Cross Lingual Representation Learning
... word representations offer an elegant and language-pair independent way to represent content across different ...of cross-lingual transfer and joint multilingual training, offering support to NLP ... See full document
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Distributed Word Representation Learning for Cross Lingual Dependency Parsing
... CoNLL shared task (Buchholz and Marsi, 2006; Nivre et al., 2007) for cross-lingual dependency ...eight cross-lingual dependency parsing tasks (EN2DA, EN2DE, EN2EL, EN2ES, EN2IT, EN2NL, ... See full document
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Findings of the 2017 DiscoMT Shared Task on Cross lingual Pronoun Prediction
... the shared task on cross-lingual pronoun predic- tion at DiscoMT ...the cross-lingual pronoun prediction task will soon translate into improvements in pronoun translation by end-to-end ... See full document
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Learning Cross Lingual Sentence Representations via a Multi task Dual Encoder Model
... size of 100 using stochastic gradient descent with a learning rate of 0.008. All of our models are trained for 30 million steps. All input text is tree- bank style tokenized prior to being used for train- ing. We ... See full document
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Semi Supervised Representation Learning for Cross Lingual Text Classification
... simple cross-lingual adaptation ap- proach, CL-Dict, produces effective improvements over ...effective cross-lingual representations, espe- cially when two languages (English, Japanese) ... See full document
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Robust Document Representations for Cross Lingual Information Retrieval in Low Resource Settings
... rank our translated documents. We use a standard built-in English analyzer to pre-process the docu- ment and query text. The analyzer conducts tok- enization, word stemming, and stop word removal. We parse input ... See full document
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Low Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations
... of learning a precise matching between English and Spanish words, the CLCRs establishes a high-level semantic connection be- tween the source and the target ...pervised cross-lingual word embeddings, ... See full document
12
Cross Lingual Lexico Semantic Transfer in Language Learning
... recent shared task on EDC, which spanned all error types including lexical choice, show that most teams either did not propose any algorithms for this type of errors or did not per- form well on them (Ng, ... See full document
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Cross lingual Learning of Semantic Textual Similarity with Multilingual Word Representations
... in cross-lingual STS, if the sen- tence pair is translated to a language for which such resources ...truly cross-lingual sys- tems, was explored by several systems in SemEval 2016 (Agirre et ... See full document
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