[PDF] Top 20 Learning to Model Multilingual Unrestricted Coreference in OntoNotes

... machine learning strategy to model multilingual coreference for the CoNLL-2012 shared task (Pradhan et ...detect coreference in text: mention detection and mention ...to model ... 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

... improved learning techniques have pushed the state of the art in coreference resolution forward (Mor- ton, 2000; Harabagiu et ...take coreference resolution techniques to the next ... See full document

... machine learning approach, memory-based learn- ing (MBL) since it has proven to be a good so- lution to various natural language processing tasks (Daelemans and van den Bosch, ... See full document

... general coreference resolution research platform that aims to abstract the architecture of different learning- based coreference systems and to provide infras- tructure for their quick ...the ... See full document

... to the mid-90s by McCarthy and Lenhert (1995) where they experimented with using decision trees and hand-written rules. A systematic study was then conducted using decision trees by Soon et al. (2001). Significant ... 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 ...reinforcement learning based ... See full document

... for unrestricted coreference ...Transformation Learning (ETL) and Decision Trees as the base learners, and, respectively, ETL Committee and Ran- dom Forest as ensemble ...stricted Coreference ... See full document

... through OntoNotes, we conduct the first large-scale WSD evalua- tion involving hundreds of word types and tens of thousands of sense-tagged examples, while adopting a coarse-grained sense ...active learning ... See full document

... our coreference resolu- tion system which uses maximum entropy model to determine the coreference relationship between two ...ME model, these rich features are not well ... See full document

... structure learning system for unrestricted coreference resolution that explores two key modeling techniques: latent coreference trees and automatic entropy-guided feature ...the ... See full document

... Coreference Resolution is the process of identify- ing the linguistic expressions in a discourse that re- fer to the same real world entity and to divide those expressions into equivalence classes that represent ... See full document

... mention-pair model implies that an instance consists of a pair of mentions, and, since vectors for machine learning (ML) need to be of a fixed length, each mention is generally represented by its syntactic ... 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

... machine learning system based on large margin structure perceptron for unre- stricted coreference resolution that introduces two key modeling techniques: latent corefer- ence trees and entropy guided ... See full document

... perform coreference resolution on MUC and ACE data (Cai and Strube, 2010), the move to the OntoNotes data (Weischedel et ...stricted coreference (Pradhan et ... See full document

... Since our system takes pure dependency parser in- put, gold syntax information and explicit data about speakers from spoken data are not currently integrated into our evaluation. We therefore focus on newswire material ... See full document

... in coreference chains are annotated in the CoNLL-2012 shared task data set, we first generate a high-recall, low- precision mention extraction module to extract as many mentions as ... See full document

... rive coreference features for classifier training, and results should be reported on system mentions; on the other hand, in the gold-standard setting, only the columns that were extracted from human ... See full document

... olution system is run. Ng and Cardie (2002a) trains a separate anaphoricity classifier in addition to a corefer- ence model. The anaphoricity classifier is applied as a filter and only anaphoric mentions are later ... See full document