[PDF] Top 20 Coreference Resolution with Entity Equalization

... global entity-level information. Similar to recent coreference models, our ap- proach uses contextual embeddings as input men- tion ...the coreference resolution set- ting because BERT is ... See full document

... We analyzed 90 precision and recall errors and present our findings in Table 7. Spurious mentions accounted for the majority of non-semantic errors. Despite the improvements that come from NEL, a large portion of ... See full document

... As the table shows, the most significant feature in our model is the number feature. This feature alone is responsible for 2.6 CoNLL F1 points. Removing this feature has a considerable negative impact on the pronoun ... See full document

... Fig. 2 shows the number of training instances of the first fold (about 5’000 sentences) from the T¨uBa-D/Z both for the incremental and the non-incremental algorithm. Overall a huge re- duction by a factor of 4 (-131297 ... See full document

... To test the competitiveness of our model with other SOTA models, we train the publicly avail- able system of Clark and Manning (2016) (hence- forth, C&M16) on the TAC 15 En training set and test on the TAC 15 En test ... See full document

... Lee et al. (2012) evaluated their model on EECB, outperforming disjoint CD coreference models for both entities and events. Nonetheless, as opposed to the more recent models, their repre- sentations are sparse. ... See full document

... In order to perform CR, each module applies the following strategy (except for some exceptional rules, explained below): mentions are traversed from the beginning of the text and each one is selected if (i) it is not the ... 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 token ... See full document

... Summarization, Coreference Resolution, Discourse Analysis, Machine Translation, Morphological Segmentation, Named Entity Recognition, Natural language generation, Natural language understanding, ... See full document

... end coreference resolution system. Coreference resolution is a complex problem, and successful systems must tackle a variety of non-trivial sub- problems that are central to the ... See full document

... Our coreference resolution model, Agglomerative Convolutional Neural Network (ACNN), takes ad- vantage of deep layers in CNN. The model is called agglomerative since it aggregates multiple feature groups ... See full document

... oracle entity as- signment is used for the entity embedding update in training, and the system output is used in a greedy manner in ...oracle entity assignment is used with prob- ability ϵ t (at the ... See full document

... Our pipeline includes data ingest, word seg- mentation, part of speech tagging, parsing, named entity recognition, relation extraction and cross document coreference resolution. Additionally, we ... See full document

... Another thoroughly investigated aspect of names is their types. The type of a name is what the entity is that is referred to by the name. Most common types used within research are person, organization and ... See full document

... pronoun entity er- rors are not reflected in the metric; Second, ACE-Value does not penalize false-alarm entities if they contain correct ...the entity F-measure re- ... See full document

... of Entity Names Human-written sto- ries often contain many diverse, novel names for people and ...using coreference resolution for entity anonymization led to fewer unique entity names ... See full document

... Coreference resolution is the process of determin- ing whether different nominal phrases are used to refer to the same real world entity or ...world entity and false ...teria’s ... See full document

... incorporating entity-level in- formation is a challenge for coreference resolution systems due to the difficulty of exact inference over ...for coreference that, along with standard pairwise ... See full document

... Of course, all state-of-the-art coreference systems have needed to capture semantic compatibility to some degree. As an example of nominal headword compatibility, a “president” can be a “leader” but cannot be not ... See full document

... Entity coreference resolution is the task of iden- tifying mentions ...supervised entity corefer- ence resolution systems have been proposed, which, according to Ng (2010), can be ... See full document