[PDF] Top 20 Maximum Metric Score Training for Coreference Resolution
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Maximum Metric Score Training for Coreference Resolution
... on coreference res- olution that assumes that the gold standard mark- ables are known, we work directly on raw text in- ...source coreference resolution toolkit, that accepts raw text input and ... See full document
9
A Metric for Evaluating Discourse Coherence based on Coreference Resolution
... proposed metric introduced in Section 3 is designed for the use of any anaphora (or coref- erence) resolution ...NP coreference resolution ...our metric needs a reliability score ... See full document
12
Extracting Bacteria Biotopes with Semi supervised Named Entity Recognition and Coreference Resolution
... perform coreference resolution to deal with events hav- ing a large textual scope, which may span over several sentences (or even ...the training data for coreference resolu- tion, we have ... See full document
8
Structured Local Training and Biased Potential Functions for Conditional Random Fields with Application to Coreference Resolution
... exact maximum-likelihood training is intractable because computing the global normal- ization factor even approximately can be extremely ...novel training procedure, structured local training, ... See full document
8
Deep Cross Lingual Coreference Resolution for Less Resourced Languages: The Case of Basque
... CoNLL metric when automatic mentions are used and ...the training than when using the small corpus available for ...previous coreference resolution systems for ... See full document
7
CORBON 2017 Shared Task: Projection Based Coreference Resolution
... Since it was not possible to compare their re- sults to those obtained in a similar setting, we briefly compare them to the most closely related work on annotation projection for coreference resolution. ... See full document
5
Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
... 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 achieved ... See full document
11
A Global Relaxation Labeling Approach to Coreference Resolution
... In the second experiment the ILP chain forma- tion process is applied using the output of both DTs. Results are shown in Table 2. Note that ILP only applies to documents shorter than 200 men- tions due to its excessive ... See full document
9
Coreference Resolution with Entity Equalization
... Results on the test set are shown in Table 1. Our baseline is the span-ranking model from Lee et al. (2018) with ELMo input features and second-order span representations, which achieves 73.0% Avg. F1. Replacing the ELMo ... See full document
5
Easy first Coreference Resolution
... to score the local ...pairwise score (because they are not directly related), these lower pairwise scores would not be able to veto the ...the maximum of the local feature vectors of actions JOIN ik ... See full document
16
Improving Generalization in Coreference Resolution via Adversarial Training
... the system must determine whether a given pro- noun refers to one, both, or neither of two given names. Thus, the task can be viewed a binary clas- sification task in which the input is a (pronoun, name) pair and the ... See full document
6
Simple Maximum Entropy Models for Multilingual Coreference Resolution
... both training and test sets, our system only con- sider all noun phrases (NP) and pronouns (PRP, PRP$) as candidate mentions for both English and ...English training dataset, our candidate mentions includes ... See full document
5
Collaborative Partitioning for Coreference Resolution
... Although coreference is formally a partitioning problem, the setting is rather different from a typ- ical clustering ...for coreference and should carefully be assessed one by one. The resolution ... See full document
11
Prune and Score: Learning for Greedy Coreference Resolution
... the training data provides the clustering supervision for only gold mentions, it is not clear how to train with the system mention- s that are not part of gold ...the training data does not include ... See full document
12
A Multigraph Model for Coreference Resolution
... We compute weights for relations using simple de- scriptive statistics on training documents. Since this is a robust approach to learning weights for the type of graph model we employ (Cai et al., 2011b; Cai et ... See full document
7
Coreference Resolution with ILP based Weighted Abduction
... This paper presents the first systematic study of the coreference resolution problem in a general inference-based discourse processing framework. Employing the mode of inference called weighted abduction, ... See full document
18
Bootstrapping coreference resolution using word associations
... Example for recall. Consider the markable pair (Novoselov 6 ,he) in the test set. Its N score is 0 be- cause our subset of 2009 Wikipedia sentences has no occurrence of Novoselov. However, A-INF finds many similar ... See full document
10
Active Learning for Coreference Resolution
... like coreference is that there is a constant amount of time required for read- ing and understanding the context of a document, then a constant amount of time on top of that per ... See full document
9
Latent Trees for Coreference Resolution
... to coreference resolution, which we experimentally demonstrate as highly ...ing training requires substantially more learning iterations; and (ii) there is not a need to modify the learning ... See full document
36
Unsupervised Event Coreference Resolution
... 3) Although each event mention is represented as a feature-rich linguistic object, there is no guarantee that all the features that describe event mentions have a positive impact for the task of event coreference. ... See full document
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