[PDF] Top 20 Joint Entity and Event Coreference Resolution across Documents

... Our approach starts with several steps that reduce the search space for the actual coreference resolution task. The first is document clustering, which clusters the set of input documents (D) into a ... See full document

... the entity-based CEAF metric (Luo, 2005), and the pairwise F1 ( PW ) ...the event mentions of the test sets derived from a 5- fold cross validation scheme on the ECB ...cross-document coreference an- ... See full document

... entire documents in training exam- ples, ending up with a poorer performance than the standard ...that joint event trigger identification and event coreference resolution is a ... See full document

... Several unsupervised learning algorithms have been applied to coreference resolution. Haghighi and Klein (2007) presented a mention-pair non- parametric fully-generative Bayesian model for un- supervised ... See full document

... in coreference resolution come from semantic mismatches due to inadequate world ...named entity linking and coreference resolution, which solves both problems jointly, reducing the ... See full document

... of documents annotated with both within-document and cross-document event corefer- ence ...with entity coreference links, which allow them to propose a “joint” method that iteratively ... See full document

... pre-processed documents, in which enti- ties have been identified and entity mentions have been linked into chains, we seek to identify across an entire document collection all chains that re- fer to ... See full document

... performed event coreference resolution on scenario specific ...and event coreference by taking a three-layer ...four event attributes had a big impact on intra-document ... See full document

... to entity coreference resolution (Lee et ...for event coref- erence ...mainly event arguments (i.e., entities such as event par- ticipants, time, location, ...proper event ... See full document

... Web documents (15,000 sen- tences) and Kyoto Corpus consists of 550 News documents (5,000 ...3,694 documents (11,558 sents.) for training, 512 documents (1,585 ...700 documents (2,195 ... See full document

... A more suitable approach for solving our problem is the hierarchical Dirichlet process (HDP) model described in Teh et al. (2006). Like LDA, this model considers problems that involve groups of data, where each ... See full document

... for event coreference also allows an event mention to be posited as non-anaphoric (by resolving it to a null candidate antecedent), our decision to train a sep- arate anaphoricity model and integrate ... See full document

... 5 mentions each. We then compute t-SNE projec- tions (Maaten and Hinton, 2008) of the full men- tion representation, only the context vector, and only the semantically-dependent mentions vector (top, middle, and bottom ... See full document

... Within-document event coreference resolution is the task of determining which event mentions in a text refer to the same real-world ...event. Event coreference is arguably ... See full document

... marking-up coreference between entities and between events across different ...intra-document coreference is a well-established field of research at least for entities, the work on cross-document ... See full document

... To capture granularity of event actions (in Winston et al. (1987) Feature-Activity relation) we employ duration distributions from the database of event du- rations by Gusev et al. (2011). The lexicon of ... See full document

... erence resolution that combines the global information and precise features previously identified by machine- learning models with the transparency and modular- ity of deterministic, rule-based ...Their ... See full document

... a joint model of corefer- ence, entity linking, and semantic typing (named en- tity recognition) using a structured conditional ran- dom ...and entity links for each ...For entity linking and ... See full document

... We address the problem of automatically attributing quotations to speakers, which has great relevance in text mining and me- dia monitoring applications. While cur- rent systems report high accuracies for this task, they ... See full document

... unsupervised coreference resolution systems are still rare to this ...unsupervised coreference resolution was achieved by Haghighi & Klein (2007), using a nonparamet- ric Bayesian model ... See full document