[PDF] Top 20 Specialized Models and Ranking for Coreference Resolution

... their resolution preferences. Thus, the resolution of lexical expressions like definite descriptions and proper names is likely to benefit from the inclusion of features that compare the strings of the ... See full document

... mention- ranking model, which imposes a ranking on the candidate antecedents and therefore cap- tures the competition among them ...supervised coreference model that can address all of the ... See full document

... Coreference resolution is one of the first stages in deep language understanding and its impor- tance has been well recognized in the natu- ral language processing ...unsupervised ranking model for ... See full document

... for coreference resolution: given a set of NPs to be clustered, (1) use pre-selected learning- based coreference systems to generate candidate partitions of the NPs, and then (2) apply an auto- ... See full document

... mize performance based on this information, as well as that of Denis et al. (2007), who do joint decoding of anaphoricity and coreference predic- tions using ILP. Both of these works are taken to contrast with the ... See full document

... a ranking-based loss function, LASO uses a binary classification loss function that labels each candidate structure as correct or ...this ranking-based loss func- ... See full document

... to coreference resolution ...train coreference resolvers (Daum´e III, 2006; Ma et ...for coreference eval- uation metrics, but they require an expert policy to learn from instead of relying on ... See full document

... latent ranking model is the best perform- ing model for coreference resolution to date (Wise- man et ...latent ranking model of Martschat and Strube (2015) achieves an overall score of 80% on ... See full document

... Our ranking model, on the other hand, is trained without such ...entity-mention models. Mention ranking. The notion of ranking can- didate antecedents can be traced back to center- ing ... See full document

... learning-based coreference reso- ...for coreference resolution, including FrameNet (Baker et ...to coreference-annotated data and unannotated data; (2) incorporate such knowledge as features ... See full document

... Results on the test set are shown in Table 1. Our baseline is the span-ranking model from Lee et al. (2018) with ELMo input features and second-order span representations, which achieves 73.0% Avg. F1. Replacing ... See full document

... ence resolution task and achieved considerable success ...which coreference rela- tion is determined between a possible anaphor and one individual candidate at a time ...determining coreference ... See full document

... to coreference resolution ...of coreference resolution are related to non-anaphoric constructions, indefinite noun phrases and pronoun coreference ... See full document

... resolving coreference is a by-product of constructing best interpretations of ...text. Coreference links naturally result from unifications of predications during the inference ... See full document

... Our model is also closely related to the distance-dependent Chinese Restaurant Process (DDCRP) (Blei and Frazier, 2011). The DDCRP is an infinite clustering model that can account for data dependencies (Ghosh et al., ... 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 ...multiple ... See full document

... Two rules were followed when the annotations were done: o 1: Whenever an expression ER represents a translation of an expression EE from the corresponding English text, if E s is tagged [r] ... See full document

... neural models (Liu et ...nary coreference instances from English ...in coreference resolution is part and parcel of a more general problem: current models are unable to abstract away ... See full document

... a coreference resolution approach that like Raghunathan et ...up coreference clusters as it goes and uses the information from these clusters in the form of features to make later ... See full document

... Most AL work focuses on instance selection where the unit of selection is one instance repre- sented as a feature vector. In this paper we also attempt document selection, where the unit of se- lection is a document, ... See full document