[PDF] Top 20 Multi Relational Script Learning for Discourse Relations
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Multi Relational Script Learning for Discourse Relations
... We begin by evaluating our model on three event representation tasks: Multiple-Choice Nar- rative Cloze (MCNC), Multiple-Choice Narrative Sequence (MCNS), and Multiple-Choice Narra- tive Explanation (MCNE). MCNC, ... See full document
13
Multi Label Transfer Learning for Multi Relational Semantic Similarity
... as multi-relational semantic similarity ...ferent relations, namely different types of simi- larity between two ...multiple relations may improve performance on one or more ... See full document
7
Leveraging Synthetic Discourse Data via Multi task Learning for Implicit Discourse Relation Recognition
... three multi-task learning systems outperformed single task learning systems, we find that the two synthetic implicit data sets have not been shown a universally consistent perfor- mance on four top ... See full document
10
Leveraging Lexical Resources for Learning Entity Embeddings in Multi Relational Data
... In this paper, we propose a simple and efficient procedure to convert these short descriptions into a vector space representation, with the help of ex- isting word embedding models. These vectors are then used as the ... See full document
6
An effective Discourse Parser that uses Rich Linguistic Information
... a relational ap- proach for classifying informational relations and a modified shift-reduce parsing algorithm for building discourse parse trees based on informational rela- ...a relational ... See full document
9
Determining the Number of Latent Factors in Statistical Multi-Relational Learning
... Relational data is becoming ubiquitous in artificial intelligence and social network analysis. These data sets are in the form of graphs, with nodes and edges representing entities and relationships, respectively. ... See full document
38
A discourse based approach for Arabic question answering
... automatic discourse parsing have been performed in recent ...Arabic discourse structure using the methodology introduced by Marcu ...rhetorical relations. They first verified the collected ... See full document
19
Minimally Supervised Learning of Affective Events Using Discourse Relations
... with discourse relations, we used the Japanese dependency parser KNP 1 and in-house postprocessing scripts (Saito et ...the discourse relations of event pairs if explicit discourse ... See full document
8
Semi-supervised learning of causal relations in biomedical scientific discourse
... These results are much lower than those that are obtained in the open domain. Pitler et al. [11], for instance, achieve results as high as 91% F-score using Naïve Bayes on automatic parses when identifying ... See full document
24
Efficient Heterogeneous Multi-relational Classification Using Multi-criteria Ranking Approach Based on Characteristics of Multiple Relations
... the relational classification each relation has different competency to classify the tuple, un-weighted method is not ...in relational classification we want to assign relatively high weight to classifiers ... See full document
9
A Comparative Study Of Multi-Relational Decision Tree Learning Algorithm
... a relational database, these are often viewed conveniently as heterogeneous data sources as if they are a collection of relations [1] which are then utilized for the purpose of extracting, inferring and ... See full document
5
Adaptive Convolution for Multi Relational Learning
... e.g., multi-layer per- ceptron (Dong et ...a multi-layer convolutional network which offers increased model expressiveness while remaining highly parameter ... See full document
10
Statistical Script Learning with Multi Argument Events
... The procedural encoding of common situations for automated reasoning dates back decades. The frames of Minsky (1974), schemas of Rumelhart (1975), and scripts of Schank and Abelson (1977) are early examples. These models ... See full document
10
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings
... such multi- task learning models for IDRR share the limi- tation of failing to exploit the mapping between the implicit connectives and the discourse rela- ...corresponding discourse ... See full document
7
Nuclearity in RST and signals of coherence relations
... multinuclear relations, and to what extent subordinated conjunctions are used to signal mononuclear ...multinuclear relations in the RST Signalling Corpus (Das et ...for relational signals, which is ... See full document
8
Breaking Down Rhetorical Relations for the purpose of Analysing Discourse Structures
... Breaking Down Rhetorical Relations for the purpose of Analysing Discourse Structures Breaking Down Rhetorical Relations for the purpose of Analysing Discourse Structures Jun'ichi FUKUMOTO* ,]un'ichi T[.] ... See full document
7
Realization of Discourse Relations by Other Means: Alternative Lexicalizations
... that discourse relations can be conveyed either explicitly or implicitly, and a translated text may not have made the same choices vis-a-vis explicitation as its source, caus- ing additional word alignment ... See full document
9
Situated Utterances and Discourse Relations
... to discourse organization is to represent the state of the discourse with an information state (Poesio and Traum, 1997) and associate each move with an appropriate ... See full document
6
Modeling the Use of Graffiti Style Features to Signal Social Relations within a Multi Domain Learning Paradigm
... the multi-domain versions significantly outperform the baseline across a variety of feature spaces, and the stylistic features provide benefit above the unigram ... See full document
9
Recovering discourse relations: Varying influence of discourse adverbials
... Discourse relations are a bridge between sentence-level semantics and discourse- level ...with discourse connectives or conveyed implicitly, to be inferred by a ...same discourse units ... See full document
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