Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts
In this work we propose to leverage resources available with discourse-level annotations to facilitate the identification of argumentative components and relations in scientific texts, which has been recognized as a particularly challenging task. In particular, we implement and evaluate a transfer learning approach in which contextualized representations learned from discourse parsing tasks are used as input of argument mining models. As a pilot application, we explore the feasibility of using automatically identified argumentative components and relations to predict the acceptance of papers in computer science venues. In order to conduct our experiments, we propose an annotation scheme for argumentative units and relations and use it to enrich an existing corpus with an argumentation layer.
Code (0)
등록된 구현이 없습니다.
Tasks
Argument MiningDiscourse ParsingTransfer LearningSimilar Papers 제목 키워드 기반
The Analysis of Synonymy and Antonymy in Discourse Relations: An interpretable Modeling Approach
The idea that discourse relations are construed through explicit content and shared, or implicit, knowledge between producer and interpreter is ubiquitous in discourse research and linguistics. However, the actual contri…
Explainable ModelsShallow Discourse Parsing with Maximum Entropy Model
In recent years, more research has been devoted to studying the subtask of the complete shallow discourse parsing, such as indentifying discourse connective and arguments of connective. There is a need to design a full d…
Discourse ParsingmodelExplicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments
Prior works formulate the extraction of event-specific arguments as a span extraction problem, where event arguments are explicit -- i.e. assumed to be contiguous spans of text in a document. In this study, we revisit th…
Event ExtractionText GenerationThe CUHK Discourse TreeBank for Chinese: Annotating Explicit Discourse Connectives for the Chinese TreeBank
The lack of open discourse corpus for Chinese brings limitations for many natural language processing tasks. In this work, we present the first open discourse treebank for Chinese, namely, the Discourse Treebank for Chin…
Part-Of-Speech TaggingQuestion AnsweringSentenceSentence Compression+2Semi-Supervised Tri-Training for Explicit Discourse Argument Expansion
This paper describes a novel application of semi-supervision for shallow discourse parsing. We use a neural approach for sequence tagging and focus on the extraction of explicit discourse arguments. First, additional unl…
Discourse Parsing