[PDF] Top 20 An Effective Hybrid Machine Learning Approach for Coreference Resolution

... Active Learning Framework In this active learning framework, an initial clas- sifier is trained by CRFs [ 1 ] that uses only atomic features, and then two human teachers are asked to correct some selected ... See full document

... in coreference resolution — the problem of determining which noun phrases (NPs) in a text or dialogue refer to which real-world entity — has exhibited a shift from knowledge- based approaches to data-driven ... See full document

... the coreference partitions produced by a ...less effective for Chinese, presumably be- cause we spent more time on engineering the sieves for Chinese than for the other ... See full document

... To examine whether the system would yield comparable results in unrestricted text, it needs to be trained on a more diverse and possibly larger corpus. For this purpose, T¨uba-D/Z, a treebank consisting of German ... See full document

... we approach the task of finding the men- tion heads by identifying syntactic heads, the task would be trivial if we had a full syntactic analy- sis, as provided in X-bar theory (Chomsky, 1970; Jackendoff, 1977) or ... See full document

... a machine learning system for coref- erence resolution that is based on the large margin structure perceptron algorithm (Collins, 2002; Fer- nandes and Milidi´u, ...introduce coreference trees ... See full document

... including machine learning and lexicon-based approaches, Research results show that machine learning methods, such as SVM and naive Bayes have the highest accuracy and can be regarded as the ... See full document

... Our work is based on twenty randomly chosen Switchboard dialogues. Taken together, the dia- logues contain 30810 tokens (words and punctua- tion) in 3275 sentences / 1771 turns. The annotation consists of 16601 ... See full document

... by learning two different function- s: 1) a pruning function to prune most of the bad decisions, and 2) a scoring function to pick the best decision among those that are ...Prune-and-Score approach is a ... See full document

... supervised learning-based approach to coreference resolu- ...does resolution by determining the links of NPs to the existing coreferential ...our approach, a classifier is trained on ... See full document

... This shared task attracted lots of researchers’ attentions, but finally only six teams submitted their final results. The participating systems differed in terms of architecture, machine learning methods, ... See full document

... present Effective semisupervised approach towards intrusion detection system using machine learning ...using machine learning approach, which effectively increased ... 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

... competition learning approach to coreference resolu- ...supervised machine learning approaches adopt the single- candidate ...our approach applies a candidate filter to reduce ... See full document

... different machine learning ap- proach is presented to deal with the coref- erence resolution ...This approach con- sists of a multi-classifier system that classifies mention-pairs in a reduced ... See full document

... on coreference resolution focuses on texts in the newswire do- ...chine learning approaches to an NLP task in a spe- cific domain, one needs to collect a text corpus in the domain and annotate it to ... See full document

... ically, it is difficult to define discrete, fixed-length features on clusters, which can be of variable size (or shape). As a result, global coreference features tend to be either too coarse or too sparse. Thus, ... 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 coreference resolution, the most notable one is unsupervised coreference resolution by Poon and Domingos ...on coreference layer for CoNLL-2011 has excluded these two conditions of ... See full document

... suitably learning capabilities – but this is a time-consuming job; moreover, vast amounts of training data are required to achieve top ...Extreme Learning Machine (ELM) approach to energy ... See full document