Анализ дискурса

Applied discourse analysis is a hot topic in In- formation Retrieval (IR) and the related field of Information Extraction (IE). Although in- teresting observations about discourse can be made "by …...

We propose a statistical dialogue analysis model to determine discourse structures as well as speech acts using maximum entropy model. The model can automatically acquire probabilistic discourse knowledge from a …...

SynDiKA Te comprises a family of text understanding sys- tems for automatically acquiring kno wledge from real-w orld texts, viz. information tec hnology test rep orts and medical �nding rep …...

. In this paper, we describe a method of automatically gener- ating summary slides from a text. The slides are generated by itemizing topic/non-topic parts that are extracted from the …...

AbstractAnnotation Science, a discipline dedicated to developing and maturing methodology for the annotation of language resources, is playing a prominent role in the fields of computational and corpus linguistics. While …...

Polarity classification of opinionated sen- tences with both positive and negative senti- ments1 is a key challenge in sentiment anal- ysis. This paper presents a novel unsuper- vised method for …...

AbstractThis paper describes the ANNODIS resource, a discourse-level annotated corpus for French. The corpus combines two perspectives on discourse: a bottom-up approach and a top-down approach. The bottom-up view incrementally …...

This paper presents a novel approach to document-based discourse analysis by performing a global A* search over the space of possible structures while optimizing a global criterion over the set …...

Event anaphora resolution plays a critical role in discourse analysis. This paper focuses on improving event pronoun resolution using both local and global semantic information. In particular, a predicate-argument structure …...

Inferring attributes of discourse participants has been treated as a batch-processing task: data such as all tweets from a given author are gathered in bulk, processed, analyzed for a particular …...

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 …...

. 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 …...

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

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 …...

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- …...

AbstractMental illness is one of the most pressing public health issues of our time. While counseling and psychotherapy can be effective treatments, our knowledge about how to conduct successful counseling …...

Research showed that the communication of social support in online self-help groups was therapeutic to participants. However, previous studies tended to focus on the content shared and have overlooked the …...

This research addresses the investigation of intra-document relations based on two major approaches: discourse analysis and coreference resolution which results in building the first Persian discourse Treebank and a comprehensive …...

AbstractIn this work, we perform the first large-scale analysis of discourse in media dialog and its impact on generative modeling of dialog turns, with a focus on interrogative patterns and …...

AbstractThe Swiss Web Corpus for Applied Linguistics (Swiss-AL) is a multilingual (German, French, Italian) collection of texts from selected web sources. Unlike most other web corpora it is not intended …...

AbstractThis paper introduces TIARA, a new publicly available web-based annotation tool for discourse relations and sentence reordering. Annotation tasks such as these, which are based on relations between large textual …...

AbstractRST-based discourse parsing is an important NLP task with numerous downstream applications, such as summarization, machine translation and opinion mining. In this paper, we demonstrate a simple, yet highly accurate …...

AbstractAtomic clauses are fundamental text units for understanding complex sentences. Identifying the atomic sentences within complex sentences is important for applications such as summarization, argument mining, discourse analysis, discourse parsing, …...

AbstractFor text-level discourse analysis there are various discourse schemes but relatively few labeleddata because discourse research is still immature and it is labor-intensive to annotate the innerlogic of a text. …...

AbstractDiscourse analysis allows us to attain inferences of a text document that extend beyond the sentence-level. The current performance of discourse models is very low on texts outside of the …...

AbstractDiscourse analysis is an important task because it models intrinsic semantic structures between sentences in a document. Discourse markers are natural representations of discourse in our daily language. One challenge …...