Теория риторической структуры

Linguistic annotation is the process of adding additional notations to raw linguistic data for descriptive or analytical purposes. In the tagging of complex Chinese and multilingual linguistic data with a …...

In this paper we classify the temporal relations between pairs of events on an article-wide ba- sis. This is in contrast to much of the exist- ing literature which focuses …...

In a language generation system, a content planner selects which elements must be in- cluded in the output text and the ordering be- tween them. Recent empirical approaches per- form …...

We propose a robust answer reranking model for non-factoid questions that inte- grates lexical semantics with discourse in- formation, driven by two representations of discourse: a shallow representation cen- tered …...

AbstractWe present a revised and extended version of the Potsdam Commentary Corpus, a collection of 175 German newspaper commentaries (op-ed pieces) that has been annotated with syntax trees and three …...

This article aims to analyze how agreement regarding the central unit (macrostructure) influ- ences agreement when establishing rhetorical relations (microstructure). To do so, the authors conducted an empirical study of …...

Previous work by Lin et al. (2011) demonstrated the effectiveness of using discourse relations for evaluating text coherence. However, their work was based on discourse relations annotated in accordance with …...

Discourse structure is the hidden link be- tween surface features and document-level properties, such as sentiment polarity. We show that the discourse analyses produced by Rhetorical Structure Theory (RST) parsers …...

Monolingual alignment models have been shown to boost the performance of question answering systems by ”bridging the lexical chasm” between questions and answers. The main limitation of these approaches is …...

This paper reports our submission to the Aspect-Based Sentiment Analysis task of Se- mEval 2016. It covers the prediction of sen- timent for a given set of aspects (e.g., sub- …...

AbstractWe present the first corpus of texts annotated with two alternative approaches to discourse structure, Rhetorical Structure Theory (Mann and Thompson, 1988) and Segmented Discourse Representation Theory (Asher and Lascarides, …...

AbstractWe show that discourse structure, as defined by Rhetorical Structure Theory and provided by an existing discourse parser, benefits text categorization. Our approach uses a recursive neural network and a …...

This paper describes ongoing work on a multimodal resource based on the Allen Institute AI2 Diagrams (AI2D) dataset, which contains nearly 5000 grade-school level science diagrams that have been annotated …...

AbstractWe present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, …...

AbstractMost of the previous Rhetorical Structure Theory (RST) parsing methods are based on supervised learning such as neural networks, that require an annotated corpus of sufficient size and quality. However, …...

AbstractWe introduce a novel top-down end-to-end formulation of document level discourse parsing in the Rhetorical Structure Theory (RST) framework. In this formulation, we consider discourse parsing as a sequence of …...

AbstractPre-trained language models (PLMs) have shown great potentials in natural language processing (NLP) including rhetorical structure theory (RST) discourse parsing. Current PLMs are obtained by sentence-level pre-training, which is different …...

AbstractIn this paper, we investigate the relationship between the use of discourse relations and the CEFR-level of argumentative English learner essays. Using both the Rhetorical Structure Theory (RST) and the …...