[PDF] Top 20 Bitext Name Tagging for Cross lingual Entity Annotation Projection

... the projection based on word alignment ...final annotation set shows significant better recall rate without much precision ...the bitext name tagger could successfully label Radyosu’nun as a ... See full document

... using bitext to infer constraints on the possible tags for a given word type or ...a tagging model us- ing Wsabie, a discriminative embedding- based model with rank-based ... See full document

... (Sundermeyer et al., 2012; Melis et al., 2017); re- cently, such models have also improved morpho- logical tagging (Heigold et al., 2016, 2017). In addition to increased performance over classical approaches, ... See full document

... Annotation projection has already a long tradi- tion in ...POS tagging (Yarowsky et al., 2001), the seminal work for annotation projection in dependency parsing is presented by Hwa et ... See full document

... of cross-lingual relation ...as cross-lingual annotation ...of cross-lingual annotation projection were ac- complished for lexically-based tasks; for exam- ... See full document

... traditional annotation projection approaches (Yarowsky et ...of annotation projection which projects expec- tations of tags and uses them as constraints to train a model based on generalized ... See full document

... So far, we have only evaluated the performance of our method on languages for which large or moderately-sized gold annotated corpora already exist that provide an upper-bound for cross-lingual NER methods. ... See full document

... POS projection via word alignments Parallel data is often available for low-resource ...direct projection has several issues and results in noisy, biased and often unreliable annotations (Yarowsky and Ngai, ... See full document

... structs major claim, claim, premise, or else is non- argumentative (Peldszus and Stede, 2013; Stab and Gurevych, 2014). We use the latest version of an English student essay corpus (Stab and Gurevych, 2017), which has ... See full document

... predefined name types: person (PER), orga- nization (ORG), location (LOC) and geo-political entity ...English Entity Discovery and Linking (Ji et ... See full document

... the projection- based approach, this model requires a minimal amount of annotated data in the low-resource target ...morphological tagging datasets provided by the Universal Dependencies (UD) treebanks; and ... See full document

... of annotation projection over four NLP tasks, in- cluding named entity ...noisy) annotation pro- ...named entity recognizer for Arabic, leveraging an Arabic-Spanish parallel cor- pus ... See full document

... better tagging quality since they repre- sent contextual similarities between ...the tagging accuracy for the low-resource ...(using cross-lingual transfer via annotation ... See full document

... For many names we need to know the real-world entities they refer to before generating their cor- rect transliterations. In this paper we developed a novel context-aware name transliteration approach by leveraging ... See full document

... However, a real problem with PROPNs in the source data remains that they are necessarily often unknown to the MT system and thus remain untranslated in the training treebank, which may confuse the subsequent tools. It is ... See full document

... projection. It allows a supposed constituent of the target sentence to correspond to an unrestricted treelet in the source parse. Such a relaxed as- sumption fundamentally tolerates the syntactic non- isomorphism ... See full document

... Our projection approach is most closely related to that presented in (Yarowsky et ...exact projection, but to get a projection which allows us to learn contextual cues for the classes we are ... See full document

... the cross-validation performed to obtain our best re- ...the cross-validation for which they were zero; the greedy feature selection is deterministic and so we do not run multiple ... See full document

... For binary features, we attempt to deal with the noise and sparsity inherent in the co-occurrence counts of f g 1 . To tackle noise, we calculate the smoothed Positive Pointwise Mutual Information (PPMI) (Church and ... See full document

... The cross-lingual wikifier that we use in our system only grounds words to the intersection of the English and target language Wikipedia. Given a Wikipedia title in the target language, we first retrieve ... See full document