Дискурсивные отношения

I In this paper we present algorithms for the interpretation and generation of a kind of particu- larized conversational implicature occurring in cer- tain indirect replies. Our algorithms make use …...

Extraction of relations between entities is an important part of Information Extraction on free text. Previous methods are mostly based on statistical correlation and depend- ency relations between entities. This …...

AbstractWe describe ongoing work in semi-automatic annotating corpus, with the goal to answer why-question in question answering system and give a construction of the coherent tree for text summarization. In …...

AbstractIn this paper, we make a qualitative and quantitative analysis of discourse relations within the LUNA conversational spoken dialog corpus. In particular, we first describe the Penn Discourse Treebank (PDTB) …...

Two of the mechanisms for creating natural transitions between adjacent sentences in a text, resulting in local coherence, involve dis- course relations and switches of focus of at- tention between …...

AbstractWe present the first effort towards producing an Arabic Discourse Treebank,a news corpus where all discourse connectives are identified and annotated with the discourse relations they convey as well as …...

Online user comments contain valuable user opinions. Comments vary greatly in quality and detecting high quality comments is a subtask of opinion mining and summarization research. Finding attentive comments that …...

We propose a lightweight method for using discourse relations for polarity detection of tweets. This method is targeted towards the web-based applications that deal with noisy, unstructured text, like the …...

We propose a method for using discourse rela- tions for polarity detection of tweets. We have focused on unstructured and noisy text like tweets on which linguistic tools like parsers …...

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 …...

AbstractThis paper describes the extension of the Ontologies of Linguistic Annotation (OLiA) with respect to discourse features. The OLiA ontologies provide a a terminology repository that can be employed to …...

. This paper presents a knowledge base containing triples involving pairs of verbs associated with seman- tic or discourse relations. The relations in these triples are marked by discourse connectors …...

AbstractDiscourse relations bind smaller linguistic units into coherent texts. Automatically identifying discourse relations is difficult, because it requires understanding the semantics of the linked arguments. A more subtle challenge is …...

Discourse relations can be categorized as continuous or discontinuous in the hypoth- esis of continuity (Murray, 1997), with continuous relations expressing normal succession of events in discourse such as temporal, …...

We present a multi-layer annotated corpus of 112 argumentative microtexts encompassing not only argument structure and discourse relations (Stede et al., 2016), but also argument schemes — the inferential relations …...

AbstractRecognizing affective events that trigger positive or negative sentiment has a wide range of natural language processing applications but remains a challenging problem mainly because the polarity of an event …...

AbstractDiscourse relations describe how two propositions relate to one another, and identifying them automatically is an integral part of natural language understanding. However, annotating discourse relations typically requires expert annotators. …...

AbstractGPT-2 has been frequently adapted in story generation models as it provides powerful generative capability. However, it still fails to generate consistent stories and lacks diversity. Current story generation models …...

AbstractThe task of Event Detection (ED) in Information Extraction aims to recognize and classify trigger words of events in text. The recent progress has featured advanced transformer-based language models (e.g., …...

AbstractAbstractive conversation summarization has received much attention recently. However, these generated summaries often suffer from insufficient, redundant, or incorrect content, largely due to the unstructured and complex characteristics of human-human …...

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 …...