[PDF] Top 20 Baselines and Test Data for Cross Lingual Inference
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Baselines and Test Data for Cross Lingual Inference
... Following the success of neural networks in SNLI-style in- ference, we take the neural attention-based model of Parikh et al. (2016) as our starting point. To date, their system remains competitive with the current state ... See full document
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Target Language Aware Constrained Inference for Cross lingual Dependency Parsing
... Natural language processing (NLP) techniques have achieved remarkable performance in a vari- ety of tasks when sufficient training data is avail- able. However, obtaining high-quality annota- tions for ... See full document
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Dependency Parsing of Code Switching Data with Cross Lingual Feature Representations
... training data and word embeddings are based on written ...this data alone doesn’t seem reasonable right ...spoken data with ...and test corpora for Komi is also a foremost priority for our own ... See full document
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Towards a Unified End to End Approach for Fully Unsupervised Cross Lingual Sentiment Analysis
... training data. Cross- lingual sentiment analysis (CLSA) aims to improve the performance on these languages by leveraging annotated data from other lan- ...or cross-lingual ... See full document
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A systematic comparison of methods for low resource dependency parsing on genuinely low resource languages
... training data. How far can we get with just a small amount of training data? We sys- tematically compare a set of simple strate- gies for improving low-resource parsers: data augmentation, which has ... See full document
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EusDisParser: improving an under resourced discourse parser with cross lingual data
... via cross-validation ...ing data of a source language and the data avail- able in the Basque development ...some data of the target lan- guage within our training ... See full document
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Isomorphic Transfer of Syntactic Structures in Cross Lingual NLP
... for cross- lingual transfer in NLP, we perform experiments on three ...for cross-lingual dependency ...evaluate cross-lingual sentence similarity in a real-life resource-lean ... See full document
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Cross-lingual classification of crisis data
... of cross-lingual analysis. In current experiments, we had 6 test cases in each classification model; despite the consistency observed across 6 cross-lingual test cases, we would ... See full document
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Cross lingual Transfer Learning for Multilingual Task Oriented Dialog
... more data for English, the model trained and tested on English data still performs better than any of the evaluated methods for the other two ...the cross-lingual ... See full document
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Cross domain and Cross lingual Abusive Language Detection: A Hybrid Approach with Deep Learning and a Multilingual Lexicon
... formance. Not surprisingly, the performance on out-domain datasets is always lower (except in two cases when the Harassment dataset is used as test set). Overall, LSTM-based systems per- formed better than ... See full document
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Cross lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data
... two baselines for our ...the cross-lingual word embeddings of Her- mann and Blunsom ...(2014a)’s cross- lingual word embeddings into the parsing model in the same way as for the ... See full document
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Cross lingual alignment transfer: a chicken and egg story?
... Swedish data: first train an IBM 1 model on the Danish-Swedish corpus to extract a translation model, then replace every Dan- ish token of the English-Danish data with its most likely translation (leaving ... See full document
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Probabilistic Models of Cross Lingual Semantic Similarity in Context Based on Latent Cross Lingual Concepts Induced from Comparable Data
... latent-cross lingual topics estimated from the data of higher quality ...latent cross-lingual topics estimated from training data, and the quality of these latent ... See full document
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How to (Properly) Evaluate Cross Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
... provides no significance testing, declaring limited numeric gains (e.g., 1% P @1) to be relevant. We test BLI results for significance with the two-tailed t-test with Bonferroni correction (Dror et al., ... See full document
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Cross lingual tagger evaluation without test data
... ity of the entire rankings, not just of guessing the best out of five taggers. We find that the true and the estimated rankings are statistically dependent at p < 0.05 for all languages. We also find that the taggers ... See full document
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FonBund: A Library for Combining Cross lingual Phonological Segment Data
... this paper we present an open-source library called Fon- Bund 1 that was developed to facilitate this step. FonBund wraps phonological segment inventories (and their corre- sponding unique feature systems). At present, ... See full document
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Construction of a Benchmark Data Set for Cross-lingual Word Sense Disambiguation
... SemEval-2010 Cross-lingual Word Sense Disambiguation task (Lefever and Hoste, ...this data set to develop and test a cross-lingual approach to word sense ... See full document
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Enhancing Multi lingual Information Extraction via Cross Media Inference and Fusion
... the baselines, Error analysis on video extraction based ap- proach showed that most errors occur on those shots including multiple people (males and fe- ...the data set is from news domain, there were many ... See full document
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A Resource Free Evaluation Metric for Cross Lingual Word Embeddings Based on Graph Modularity
... a cross-lingual word embedding space where it is possible to draw a hyperplane that separates all word vectors in one language from all vectors in ... See full document
11
Cross Lingual Identification of Ambiguous Discourse Connectives for Resource Poor Language
... Discourse corpus annotation. For English, there are mainly two corpora: (1) RST Dis- course Treebank (RST-DT) (Carlson et al., 2001) following the RST (Mann and Thompson, 1988); (2) Penn Discourse Treebank (PDTB) ... See full document
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