Results 31 to 40 of about 24,207,407 (408)
Large Discourse Treebanks from Scalable Distant Supervision [PDF]
CODI 2020, 2022 Discourse parsing is an essential upstream task in Natural Language Processing with strong implications for many real-world applications. Despite its widely recognized role, most recent discourse parsers (and consequently downstream tasks) still rely on small-scale human-annotated discourse treebanks, trying to infer general-purpose discourse ...
arxiv
Discourse analysis of environmental policy revisited: traditions, trends, perspectives
Journal of Environmental Policy and Planning, 2019 Since the mid-1990s, discourse analysis has become an increasingly established framework in environmental policy analysis. The field has diversified in terms of conceptual approaches, methods, topics, and geographies.
Sina Leipold +3 more
semanticscholar +1 more source
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations [PDF]
arXiv, 2023 Discourse 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 is that the markers as well as pre-defined and human-labeled discourse relations can be ambiguous when describing the semantics between ...
arxiv
Upvotes? Downvotes? No Votes? Understanding the relationship between reaction mechanisms and political discourse on Reddit [PDF]
, 2023 A significant share of political discourse occurs online on social media platforms. Policymakers and researchers try to understand the role of social media design in shaping the quality of political discourse around the globe. In the past decades, scholarship on political discourse theory has produced distinct characteristics of different types of ...
arxiv +1 more source
Topic models meet discourse analysis: a quantitative tool for a qualitative approach
International Journal of Social Research Methodology, 2019 Quantitative text analysis tools have become increasingly popular methods for the operationalization of various types of discourse analysis. However, their application usually remains fairly simple and superficial, and fails to exploit the resources ...
Thomas Jacobs, Robin Tschötschel
semanticscholar +1 more source
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition [PDF]
arXiv, 2022 Due to the absence of connectives, implicit discourse relation recognition (IDRR) is still a challenging and crucial task in discourse analysis. Most of the current work adopted multi-task learning to aid IDRR through explicit discourse relation recognition (EDRR) or utilized dependencies between discourse relation labels to constrain model predictions.
arxiv
Unifying Discourse Resources with Dependency Framework [PDF]
arXiv, 2021 For text-level discourse analysis, there are various discourse schemes but relatively few labeled data, because discourse research is still immature and it is labor-intensive to annotate the inner logic of a text. In this paper, we attempt to unify multiple Chinese discourse corpora under different annotation schemes with discourse dependency framework
arxiv
Incorporating Annotator Uncertainty into Representations of Discourse Relations [PDF]
arXiv, 2023 Annotation of discourse relations is a known difficult task, especially for non-expert annotators. In this paper, we investigate novice annotators' uncertainty on the annotation of discourse relations on spoken conversational data. We find that dialogue context (single turn, pair of turns within speaker, and pair of turns across speakers) is a ...
arxiv
Mídia e Cotidiano, 2019 No artigo apresentamos um experimento de pesquisa empírica que coloca em relação cinema e educação no contexto de adolescentes que, de diferentes formas, estão no sistema socioeducativo brasileiro.
Júlio Figueroa, Luciana Oliveira
doaj +1 more source
Towards a decade of synergising corpus linguistics and critical discourse analysis: a meta-analysis
Corpora, 2019 The incorporation of corpus linguistics (CL) methods within critical discourse analysis (CDA) has increasingly gathered momentum over the last decade.
M. Nartey, Isaac N. Mwinlaaru
semanticscholar +1 more source