Проекция Аннотаций

We present a simple but very effective ap- proach to identifying high-quality data in noisy data sets for structured problems like parsing, by greedily exploiting partial struc- tures. We analyze …...

Large scale annotated corpora are pre- requisite to developing high-performance semantic role labeling systems. Unfor- tunately, such corpora are expensive to produce, limited in size, and may not be representative. …...

AbstractIn this paper, we report on the design of a part-of-speech-tagset for Wolof and on the creation of a semi-automatically annotated gold standard. In order to achieve high-quality annotation relatively …...

AbstractWe present a study that compares data-driven dependency parsers obtained by means of annotation projection between language pairs of varying structural similarity. We show how the partial dependency trees projected …...

Previous research on annotation projection for parser induction across languages showed only limited success and often required substantial language-specific post-processing to fix inconsis- tencies and to lift the performance onto …...

AbstractAnnotation projection is a practical method to deal with the low resource problem in incident languages (IL) processing. Previous methods on annotation projection mainly relied on word alignment results without …...

AbstractWe propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All …...

AbstractIn this paper, we investigate the annotation projection of semantic units in a practical setting. Previous approaches have focused on using parallel corpora for semantic transfer. We evaluate an alternative …...

Annotation projection based on parallel cor- pora has shown great promise in inexpensively creating Proposition Banks for languages for which high-quality parallel corpora and syn- tactic parsers are available. In …...

AbstractThe state-of-the-art named entity recognition (NER) systems are supervised machine learning models that require large amounts of manually annotated data to achieve high accuracy. However, annotating NER data by human …...

AbstractArgumentation mining (AM) requires the identification of complex discourse structures and has lately been applied with success monolingually. In this work, we show that the existing resources are, however, not …...

Although the existence of English corpora annotated for negation has allowed for extensive work on monolingual negation detection, little is understood on how negation-related phenomena translate across languages. The current …...

Previous work leveraged annotation projection as a convenient method to automatically generate linguistic resources such as treebanks or propbanks for new languages. This approach automatically transfers linguistic annotation from a …...

AbstractWe study annotation projection in text classification problems where source documents are published in multiple languages and may not be an exact translation of one another. In particular, we focus …...

AbstractMany efforts of research are devoted to semantic role labeling (SRL) which is crucial for natural language understanding. Supervised approaches have achieved impressing performances when large-scale corpora are available for …...

AbstractWe describe a method for developing broad-coverage semantic dependency parsers for languages for which no semantically annotated resource is available. We leverage a multitask learning framework coupled with annotation projection. …...

AbstractShallow Discourse Parsing (SDP), the identification of coherence relations between text spans, relies on large amounts of training data, which so far exists only for English - any other language …...

AbstractThis paper describes the first report on cross-lingual transfer for semantic dependency parsing. We present the insight that there are twodifferent kinds of cross-linguality, namely sur-face level and mantic level, …...