[PDF] Top 20 Cross lingual Name Tagging and Linking for 282 Languages
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Cross lingual Name Tagging and Linking for 282 Languages
... Amir Mohamed Yosef, Sandro Bauer, Johannes Hof- fart, Marc Spaniol, and Gerhard Weikum. 2012. Hyena: Hierarchical type classification for entity names. In Proceedings of COLING 2012: Posters. The COLING 2012 Organizing ... See full document
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Choosing Transfer Languages for Cross Lingual Learning
... examine cross-lingual trans- fer in four NLP tasks: machine translation (MT), entity linking (EL), part-of-speech (POS) tagging and dependency parsing ...transfer languages based on the ... See full document
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Name Tagging for Low resource Incident Languages based on Expectation driven Learning
... challenging name tagging problem in an emergent setting - the tagger needs to be complete within a few hours for a new incident language (IL) us- ing very few ...and cross-lingual corpora, and ... See full document
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Cross lingual Multi Level Adversarial Transfer to Enhance Low Resource Name Tagging
... resource languages from the DARPA LORELEI ...predefined name types: person (PER), orga- nization (ORG), location (LOC) and geo-political entity ...distinct languages, we also use English as a source ... See full document
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ELISA EDL: A Cross lingual Entity Extraction, Linking and Localization System
... for 282 languages, and the TRAIN section provides a re-training function for users who want to train their own customized name tagging models using their own ...and name translation at: ... See full document
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Error Analysis of Cross lingual Tagging and Parsing
... target languages with the NOUN ADJ word order, with all Romance languages (pt, it, fr, ca, gl, ro) constituting a prominent example – if the error distribution is computed only on Romance languages, ... See full document
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Cross lingual Character Level Neural Morphological Tagging
... logical tagging (Heigold et ...for cross-lingual morphological ...18 languages taken from four different language ...resource languages to the low-resource languages without ... See full document
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Cross lingual alignment transfer: a chicken and egg story?
... them, cross-lingual learning methods enable to transfer useful supervision information from well-resourced to under-resourced languages, speeding up the de- velopment of NLP tools for new domains and ... See full document
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Cross Lingual Transfer Learning for POS Tagging without Cross Lingual Resources
... POS tagging accuracies of different transfer learning models when we limited the number of training sentences of the target lan- guages to be the same as 1,280 for fair comparison among different ...target ... See full document
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Towards Zero resource Cross lingual Entity Linking
... entity linking (XEL) grounds named entities in a source language to an English Knowledge Base (KB), such as ...low-resource languages, we show that our model results in gains of 6-23% in end-to-end ... See full document
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Cross Lingual Dependency Parsing with Unlabeled Auxiliary Languages
... many cross- lingual transfer tasks (Wu and Dredze, ...auxiliary languages even when the encoders are trained on top of multilingual ...(POS) tagging (Gui et ... See full document
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Cross lingual Linking of Multi word Entities and their corresponding Acronyms
... new name or whether they might be a spelling variant of a name encountered be- ...across languages have the same acronym, nor can we assume that the same acronym (within the same or across ... See full document
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Zero-Shot Neural Transfer for Cross-Lingual Entity Linking
... directly linking to English, as named enti- ties are likely similar in related languages (Tsvetkov and Dyer ...Hindi name (shown with a solid blue line in the ... See full document
8
Token and Type Constraints for Cross Lingual Part of Speech Tagging
... Features. For all models, we use only an identity feature for tag-pair transitions. We use five features that couple the current tag and the observed word (analogous to the emission in an HMM): word iden- tity, suffixes ... See full document
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Cross Lingual Part of Speech Tagging through Ambiguous Learning
... across languages re- lies on a rather strong assumption that morpho- syntactic categories in the source language can be directly related to the categories in the tar- get language, which might not always be war- ... See full document
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Tense Tagging for Verbs in Cross Lingual Context: A Case Study
... different languages do not necessarily mean the same thing, they interpret semantic tense to be largely a rep- resentation of event sequence; their work did not attempt direct and explicit represen- tations of ... See full document
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Neural Factor Graph Models for Cross lingual Morphological Tagging
... The accuracy of morphological analyzers is paramount, because their results are often a first step in the NLP pipeline for tasks such as transla- tion (Vylomova et al., 2017; Tsarfaty et al., 2010) and parsing (Tsarfaty ... See full document
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Zero Shot Cross lingual Name Retrieval for Low Resource Languages
... many languages, many of their most valuable features are not suitable for our set- ...demonstrates cross- lingual transfer for name tagging using phonologi- cally grounded word ...their ... See full document
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The Second Cross Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages
... source. Cross-lingual (even cross-script) train- ing worked remarkably ...four languages, while adding English into training data worsen the overall performance, (Tsygankova et ... See full document
12
Bitext Name Tagging for Cross lingual Entity Annotation Projection
... Another disadvantage is that this framework depends on full-sequence word alignment where each alignment pair in the sequence will be taken into account for annotation projection. Then, the entity projection could always ... See full document
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