[PDF] Top 20 A Multigraph Model for Coreference Resolution

... HITS’ coreference reso- lution system that participated in the CoNLL- 2012 shared task on multilingual unrestricted coreference ...simple multigraph representation of the rela- tion between mentions ... See full document

... our model together as baseline with two deterministic systems, namely Stanford: the Stanford system (Lee et ...and Multigraph: the unsupervised multigraph sys- tem (Martschat, 2013), and one ... See full document

... lifespan model in an NLP application, we incorporate it into the Stanford coreference resolution system (Lee et ...entity coreference, such as exact string match and pronominal resolu- ... See full document

... One problem that arises with the entity-mention model is how to represent the knowledge related to an entity. In a document, an entity may have more than one mention. It is impractical to enumerate all 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

... fication model that is widely used in entity corefer- ence resolution ...pairwise coreference deci- sions within a single document and can not account for signals that commonly appear across ...event ... See full document

... for coreference resolution, as cross-lingual transfer learning has given good results in some other NLP tasks such as machine translation or language modeling (Lam- ple and Conneau, ...solve ... See full document

... of coreference res- olution. However, current neural coreference models are typically trained with heuristic loss functions that are computed over a sequence of local ...based coreference ... See full document

... Coreference resolution is a well known challenge in computational ...a coreference an- notated corpus for English, Chinese and Arabic has around ...34.290 coreference chains, a corpus with ... See full document

... We achieve new state-of-the-art results for singleton detection by only using shallow features and simple classifiers. We also show that search space pruning significantly improves different coreference resolu- ... See full document

... Coreference resolution is governed by syntac- tic, semantic, and discourse ...generative, model-based approach in which each of these factors is modularly en- capsulated and learned in a primarily ... See full document

... ILP model that explicitly focuses on using discourse level topic structures for event coreference ...event coreference resolution ...erence resolution with the ECB+ corpus is somewhat ... 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 ... See full document

... projection-based coreference resolver for German and Rus- ...on coreference relations projected through a parallel corpus from ...glish coreference as provided by the shared task ...of ... See full document

... Although chain formation processes search for global consistency, the lack of contextual infor- mation in the classification step is propagated for- ward. Few works try to overcome the limita- tions of keeping ... See full document

... a coreference set already including ’Clinton’, let’s say: {’Hilary Clinton’, her, she} then we know the gender from the other members and are more save in our ... See full document

... processing, coreference links naturally follow as a by-product of constructing best ...abduction, coreference resolution is equal to unification of predications; see ...deductive model ... See full document

... twin-candidate model could do the anaphoricity determination by itself, without any additional pre-possessing ...and resolution procedures in the subsequent ... See full document

... for coreference resolution, and there have been many proposed ways of post-processing the pairwise scores to make ...entity-centric model directly learns how to use pairwise scores to produce a ... See full document

... The coreference resolution task is a complicated and challenging issue of natural language processing. Although many sub-problems, such as noun phrase to noun phrase and pronouns to noun phrase, are ... See full document