[PDF] Top 20 Joint Learning for Coreference Resolution with Markov Logic

... In this paper, we build a baseline system that uses maximum entropy models as the classification algo- rithm. For generation of training instances, we fol- low the method of Bengtson and Roth (2008). For each predicted ... See full document

... Given the difficulty of trigger detection, it is conceivable that many errors will propagate from the trigger detection component to the event coref- erence component in any pipeline architecture where trigger detection ... See full document

... that joint learning of multiple types of linguistic structures in models can produce more consistent ...perform joint learning and inference for gene mention recognition and ... See full document

... Further, deterministic or strong non-deterministic dependencies cause Gibbs sampling to break down (Poon & Domingos, 2006), making it difficult to leverage many linguistic regularities. For exam- ple, apposition (as ... See full document

... Event coreference resolution is a challenging problem since it relies on several components of the information extraction pipeline that typically yield noisy ...event coreference resolver, and ... See full document

... tion approaches including the recent joint learning approach (Lu and Ng, 2017) which is the best per- forming model on the KBP 2016 corpus. For both datasets, the full discourse structure augmented model ... See full document

... and coreference resolution jointly (§4). Our joint model is inspired by re- cent work in coreference resolution that indepen- dently ranks the possible mention’s antecedents, forming a ... 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 ... See full document

... described in Chang et al. (2013) in our experiments. The task of mention detection is closely related to Named Entity Recognition (NER). Punyakanok and Roth (2001) thoroughly study phrase identifica- tion in sentences ... See full document

... We address the potential explosion in training data size by considering only merge operations that are likely to be inspected by the algorithm as it runs. To achieve this, Algorithm 2 repeatedly runs the ac- tual ... See full document

... To avoid the cascading errors of pipeline sys- tems, recent NLP researchers have developed end- to-end approaches (Lee et al., 2017; Luan et al., 2018; Lee et al., 2018; Zhang et al., 2018), which directly consider all ... See full document

... Future work will investigate this issue by quan- tifying the value of complete gold standard annota- tions versus the partial annotations that may be pro- duced using document-inertial instance selection. One way of ... See full document

... the coreference relationship between two mentions may be not clear, which would affect classifier ...the coreference rela- tionships between the mentions would become more ... See full document

... objects, learning will involve identifying (or creat- ing) the best classes for the objects and updating the weight of the property or relation ...When learning, we will have to ensure that no constraints ... See full document

... structured learning has been applied to several NLP tasks, such as word segmenta- tion and part-of-speech (POS) tagging (Zhang and Clark, 2008a), POS tagging and dependency pars- ing (Bohnet and Nivre, 2012), ... See full document

... omitted. Coreference links between a full and an ab- breviated version of the same name are under-represented in our training corpus and therefore the learners cannot re- liably extract ... See full document

... and coreference resolution as a joint task, wherein the decisions made by each locally trained model are mutually ...the joint formulation: the coreference classi- fier is now combined ... See full document

... In recent years, supervised machine learning approaches have been widely used in coreference resolution (Aone and Bennett, 1995; McCarthy, 1996; Soon et al., 2001; Ng and Cardie, 2002a), and have ... See full document

... chine learning framework, which together consis- tently produce statistically significant gains in pre- cision and corresponding increases in ...that coreference resolution sys- tems can improve by ... See full document

... based on the Easy-first coreference system (Stoy- anov and Eisner, 2012), which is derived from the Reconcile system (Stoyanov et al., 2010). We es- sentially employ the same features as in the Easy- first system. ... See full document