[PDF] Top 20 Entity Centric Coreference Resolution with Model Stacking

... The entity-centric system builds up coreference chains with agglomerative clustering: each men- tion starts in its own cluster and then pairs of clus- ters are merged each ...incremental ... See full document

... of entity-level features has been a driving force behind the development of many coreference resolution systems (Luo et ...a model with ar- bitrary entity-level features, so systems ... See full document

... the entity F-measure is not necessarily op- timal for ACE-Value, and vice versa: θ = ...the entity F-measure, while θ = ...the entity F-measure (at θ = ...the entity F-measure and ACE-Value ... See full document

... • Underspecification of antecedent candidates Mention-pair systems operate in a non- incremental mode, i.e. all pairs are classified prior to the construction of the coreference sets. A clustering step is needed ... See full document

... Ratinov and Roth (2012) investigated using NEL to improve coreference resolution, but did not con- sider a joint approach. They extracted attributes from Wikipedia categories and used them as fea- tures in ... See full document

... referred entity, the coreference relationship between two mentions may be not clear, which would affect classifier ...whole entity is considered instead of only one mention, we can know that “he” ... 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

... CV (Cybulska and Vossen, 2015a) is a super- vised method for event coreference, based on dis- crete features. They first cluster documents to top- ics, and then cluster coreferring mentions within each topic ... See full document

... cluster-ranking model is a single neural net- work that learns which coreference cluster merges are ...ranking model then scores pairs of clusters by passing their representations through a single ... See full document

... on entity coref- erence, the related problem of event coreference re- mains relatively under-explored, with minimal work on how entity and event coreference can be con- sidered jointly on an ... See full document

... erence model trained using English-Spanish bilin- gual word embeddings on English data has the po- tential to make the correct coreference decision between “EEUU” and “Estados Unidos” without ever ... See full document

... We aim for high precision regarding the usage of the negative relation N Modifier. This leads to some loss in recall. For example, our system does not as- sign the just-completed Paralympics and the 12-day Paralympics to ... See full document

... The task of extracting bacteria biotopes involves two steps: Named Entity Recognition (NER) and event detection. The current dominant approach to NER problems is to use supervised machine learning models such as ... See full document

... same entity (“President Obama.”) An intra-document coreference system must first identify each reference, often relying on named entity recognition, and then decide if these refer- ences refer to a ... See full document

... Rule-based strategies make use of sets of rules and heuristics for finding the best element to link each mention to (Lappin and Leass, 1994; Baldwin, 1997; Mitkov, 1998; Bontcheva et al., 2002; Raghunathan et al., 2010; ... See full document

... Datasets. Due to the availability of readily parsed data, we select the APW and NYT sections of Giga- word Corpus (years 1994-2010) (Parker et al., 2011) to train the model. Following previous work (Cham- bers and ... See full document

... to coreference resolution that combines the global information and precise features of modern machine-learning models with the transparency and modularity of deterministic, rule-based ...deterministic ... See full document

... of Entity Names Human-written sto- ries often contain many diverse, novel names for people and ...fusion model and baseline decomposition strategies gen- erate very few unique entities in each ...using ... See full document

... and entity-centric systems) is used to calculate the maximum number of times the token occurs in a single coreference chain within the same medical abstract (max counts) and the number of chains the ... See full document

... The inclusion of semantics is another reason for our option for a rule-based system. It seems that when knowledge in involved rule-based systems are a good option. (Hou et al., 2014) proposes a rule based sys- tem to ... See full document