[PDF] Top 20 UBIU for Multilingual Coreference Resolution in OntoNotes

... A singleton is a mention which corefers with no other mention, either because it does not refer to any entity or because it refers to an entity with no other mentions in the discourse. Because singletons com- prise the ... See full document

... the OntoNotes data set to detect ...the OntoNotes data set, mentions without coreference relations after classification need to be removed from the answer set, which can only be per- formed after ... See full document

... The coreference resolution pipeline in UBIU starts with a basic preprocessing step of the data in which only insignificant formatting and restruc- turing of the data is ...relevant UBIU mod- ... See full document

... eling Multilingual Unrestricted Coreference in ...the coreference relationship between ev- ery two mentions (usually noun phrases and pronouns) in each ... See full document

... many coreference relations in OntoNotes can be identified using a fairly small set of simple hand-crafted ...for coreference res- olution suggests that coreference-annotated data can be ... See full document

... English coreference resolver frequently makes mistakes re- lated to non-referential instances of the pronouns it (often referred to as expletive or pleonastic in the lit- erature), we, and you (generic mentions, ... See full document

... the OntoNotes dataset (Hovy et ...The OntoNotes mentions— unlike ACE ones–correspond to large NP struc- tures (embedding NP nodes in gold parse trees), so a traditional approach ...for OntoNotes ... See full document

... large-scale, multilingual corpus for general anaphoric coreference that covers entities and events not limited to noun phrases or a limited set of entity ... See full document

... modeling multilingual unrestricted coreference in the OntoNotes ...and coreference resolution across three languages – English, Chinese and Arabic – using the OntoNotes ... See full document

... pora, using a decision tree learner, by Soon et al. (2001). Significant improvements have been made in the field of language processing in general, and improved learning techniques have pushed the state of the art in ... See full document

... for coreference resolution: one link component computes how likely a mention is coreferential with a candidate entity; the other compo- nent, called creation model, computes the probability that a mention ... See full document

... erence resolution data sets as well as several for- mal evaluations on the task, it remains frustratingly difficult to compare results across different corefer- ence resolution ...end-to-end ... See full document

... coreferences. Coreference identifi- cation is an important technical ...the OntoNotes data set used in the CoNLL 2011 Shared ...improving coreference identi- fication performance over the ... See full document

... anaphora resolution using unsupervised methods to extract useful information, such as gender and number (Ge et ...reference resolution learning (M¨uller et ...supervised coreference system with ... See full document

... not have manually annotated minimum spans that a mention must contain to be considered correct. However, OntoNotes does have manual syntactic analysis in the form of the Treebank. Therefore, we decided to ... See full document

... The various approaches to event extraction task are rule based, dictionary based, ML and Hybrid approaches. This paper proposes a robust, scala- ble BioEventTag system developed by using graph-based ML technique ... See full document

... LVCoref uses an entity centric model which allows each coreference decision to be globally informed by previously created coreference chains. It allows to use global constraints, e.g., linking two mentions ... See full document

... This paper presents a constraint-based graph partitioning approach to corefer- ence resolution solved by relaxation label- ing. The approach combines the strengths of groupwise classifiers and chain forma- tion ... See full document

... explore coreference resolution in a discourse processing framework based on a mode of inference called weighted abduction (Hobbs et ...metonymy resolution, interpretation of noun compounds and ... See full document

... tion approaches including the recent joint learning approach (Lu and Ng, 2017) which is the best per- forming model on the KBP 2016 corpus. For both datasets, the full discourse structure augmented model achieved ... See full document