[PDF] Top 20 On the Need of Cross Validation for Discourse Relation Classification
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On the Need of Cross Validation for Discourse Relation Classification
... Discourse-level relation analysis is relevant to a variety of NLP tasks such as summarization (Yoshida et ...Penn Discourse Treebank (PDTB) (Prasad et ...Because discourse relation ... See full document
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Spectral Semi Supervised Discourse Relation Classification
... in discourse parsing is the classification of implicit discourse re- ...improve relation classification accuracy, reduce the need for annotated data, while still retaining the ... See full document
5
Comparing Word Representations for Implicit Discourse Relation Classification
... the need for hand-crafted lexical ...words need to be fed to the model, by comparing using just pairs of verbs against all pairs of words, and how word representations should be combined over ... See full document
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Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification
... hierarchical classification; the second case can be taken care of by measures for multi-label classification, which are needed any- way to take PDTB annotations without restric- ...cal discourse ... See full document
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Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification
... implicit relation, the human translator is, in other words, disambiguating the source implicit relation with an explicit DC in the target ...implicit discourse relation samples based on ... See full document
12
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification
... sentence-pair classification problem, which needs inferring senses solely based on the two arguments without cues of ...might need deep semantic analysis for the interaction of two argu- ... See full document
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Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification
... Our proposed model outperforms the other models in each of the settings. Compared with perfor- mances in Qin et al. (2017), although we share the similar idea of extracting highly discriminative fea- tures by generating ... See full document
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Discourse Relation Sense Classification Using Cross argument Semantic Similarity Based on Word Embeddings
... the cross-argument similarity features (without the POS modal verbs similarities) im- proves the overall result of the embeddings-only Logistic Regression (LR) baseline significantly from F-score ... See full document
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Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification
... with discourse connec- tives (Marcu and Echihabi, 2002; Sporleder and Lascarides, 2008; Braud and Denis, 2014; Ji et ...utilizing cross-lingual data (Wu et ...noisy discourse cues; on the con- trary, ... See full document
10
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification
... 2-way classification between synonymy and antonymy from ...5-fold cross-validation on a merged set of all training and test ...glish relation pairs that has been collected by Giu- lia Benotto ... See full document
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Discourse Sense Classification from Scratch using Focused RNNs
... Overall our system performs pretty well on all English datasets (see Table 2) despite not us- ing any external resources or hand-engineered features. As expected it performs best on the validation dataset, ... See full document
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Combining Discourse Markers and Cross lingual Embeddings for Synonym–Antonym Classification
... via cross- lingual word ...with discourse markers that convey ...only cross-lingual embed- dings, we show absolute improvements of 4– 10% F 1 -score in Vietnamese and ... See full document
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Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains
... and cross domain ...of discourse expectations through implicit represen- tations that are learned during training and the in- clusion of external ...course relation classification task, we’d ... See full document
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Cross lingual Discourse Relation Analysis: A corpus study and a semi supervised classification system
... for discourse re- lations is not ...For discourse relations, prior work has shown that a parallel corpus is helpful for disambiguating certain explicit discourse connectives (Meyer et ...infers ... See full document
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Acquiring Annotated Data with Cross lingual Explicitation for Implicit Discourse Relation Classification
... Implicit discourse relation classification is one of the most challenging and important tasks in discourse parsing, due to the lack of con- nectives as strong linguistic ...Penn ... See full document
10
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation
... for every single m ∈ M n , we could naturally compare them through their mean squared errors. Under assumption (SameBias), this would mean to compare their variances. This can be done from Eq. (23) below, but it is not ... See full document
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An Application of PCA in ECG Classification with Cross - Validation
... the classification using PCA-SVM is shown below in the three figures ...out cross validation method is also shown below. The cross validation method shows a 100 percent accuracy rate ... See full document
5
Evaluation of Discourse Relation Annotation in the Hindi Discourse Relation Bank
... Each discourse relation is assigned a sense label which characterizes the semantics of the ...a relation. The complete HDRB sense classification is shown in Figure ... See full document
6
Challenges and Perspectives for Development of Banking Credit Infrastructure in Russia
... The need for sustainable economic growth rate is one of the priorities of the development of modern Russian economy. Solving this task can be contributed by effective functioning of the credit market, acting as a ... See full document
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Tag Enhanced Tree Structured Neural Networks for Implicit Discourse Relation Classification
... information, which proves to be helpful for iden- tifying discourse relations in many early studies (Subba and Di Eugenio, 2009; Lin et al., 2009), is seldom employed by recent work. Therefore we are curious to ... See full document
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