Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts
This paper proposes a methodology for building a specialized Japanese data set for recognizing temporal relations and discourse relations. In addition to temporal and discourse relations, multi-layered situational relations that distinguish generic and specific states belonging to different layers in a discourse are annotated. Our methodology has been applied to 170 text fragments taken from Wikinews articles in Japanese. The validity of our methodology is evaluated and analyzed in terms of degree of annotator agreement and frequency of errors.
Code (0)
등록된 구현이 없습니다.
Tasks
ArticlesNatural Language InferenceQuestion AnsweringText SummarizationSimilar Papers 제목 키워드 기반
Incorporating Annotator Uncertainty into Representations of Discourse Relations
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 conversat…
ClusteringRelationMulti-Layer Discourse Annotation of a Dutch Text Corpus
We have compiled a corpus of 80 Dutch texts from expository and persuasive genres, which we annotated for rhetorical and genre-specific discourse structure, and lexical cohesion with the goal of creating a gold standard …
SegmentationText SegmentationTIARA: A Tool for Annotating Discourse Relations and Sentence Reordering
This 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 objects,…
SentenceThe distribution of discourse relations within and across turns in spontaneous conversation
Time pressure and topic negotiation may impose constraints on how people leverage discourse relations (DRs) in spontaneous conversational contexts. In this work, we adapt a system of DRs for written language to spontaneo…
Towards discourse annotation and sentiment analysis of the Basque Opinion Corpus
Discourse information is crucial for a better understanding of the text structure and it is also necessary to describe which part of an opinionated text is more relevant or to decide how a text span can change the polari…
Sentiment Analysis