Toward a Discourse Theory for Annotating Causal Relations in Japanese
نویسندگان
چکیده
We present a revised discourse theory based on segmented discourse representation theory and provide a method for building a Japanese corpus suitable for causal relation extraction. This extends and refines the framework proposed in Kaneko and Bekki (2014), and we evaluate our corpus and compare it with that work.
منابع مشابه
Building a Japanese Corpus of Temporal-Causal-Discourse Structures Based on SDRT for Extracting Causal Relations
This paper proposes a methodology for generating specialized Japanese data sets for the extraction of causal relations, in which temporal, causal and discourse relations at both the fact level and the epistemic level, are annotated. We applied our methodology to a number of text fragments taken from the Balanced Corpus of Contemporary Written Japanese. We evaluated the feasibility of our method...
متن کاملAnnotation of anaphoric relations and topic continuity in Japanese conversation
This paper proposes a basic scheme for annotating anaphoric relations in Japanese conversations. More specifically, we propose methods of (i) dividing discourse segments into meaningful units, (ii) identifying zero pronouns and other overt anaphors, (iii) classifying zero pronouns, and (iv) identifying anaphoric relations. We discuss various kinds of problems involved in the annotation mainly c...
متن کاملExperiments with Annotating Discourse Relations in the Hindi Discourse Relation Bank
In the Hindi Discourse Relation Bank (HDRB) project, we are developing a large corpus annotated with discourse relations, such as causal, temporal, contrastive and conjunctive relations. Adopting the lexically grounded approach of the Penn Discourse Treebank (PDTB), we annotate the argument structure of both explicit and implicit discourse relations, as well as the senses of relations. We descr...
متن کاملAnnotating Discourse Relations with the PDTB Annotator
The PDTB Annotator is a tool for annotating and adjudicating discourse relations based on the annotation framework of the Penn Discourse TreeBank (PDTB). This demo describes the benefits of using the PDTB Annotator, gives an overview of the PDTB Framework and discusses the tool’s features, setup requirements and how it can also be used for adjudication.
متن کاملTaking Action: A Cross-Modal Investigation of Discourse-Level Representations
Segmenting stimuli into events and understanding the relations between those events is crucial for understanding the world. For example, on the linguistic level, successful language use requires the ability to recognize semantic coherence relations between events (e.g., causality, similarity). However, relatively little is known about the mental representation of discourse structure. We report ...
متن کامل