Attribution
Related Papers
Attribution and the (Non-)Alignment of Syntactic and Discourse Arguments of Connectives
The annotations of the Penn Discourse Treebank (PDTB) include (1) discourse connectives and their arguments, and (2) attribution of each argument of each con- nective and of the relation it …...
A Database of Attribution Relations
AbstractThe importance of attribution is becoming evident due to its relevance in particular for Opinion Analysis and Information Extraction applications. Attribution would allow to identify different perspectives on a given …...
GRaSP: A Multilayered Annotation Scheme for Perspectives
AbstractThis paper presents a framework and methodology for the annotation of perspectives in text. In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated …...
An Attribution Relations Corpus for Political News
An attribution occurs when an author quotes, paraphrases, or describes the statements and private states of a third party. Journalists use attribution to report statements and attitudes of public figures, …...
Annotating Attribution Relations in Arabic
We present a first empirical effort in annotating attribution in Modern Standard Arabic (MSA). Identifying attributed arguments to the source is applied successfully in diverse systems such as authorship identification, …...
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations
AbstractMachine Reading Comprehension (MRC), which requires a machine to answer questions given the relevant documents, is an important way to test machines’ ability to understand human language. Multiple-choice MRC is …...
DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles
AbstractQuotation extraction and attribution are challenging tasks, aiming at determining the spans containing quotations and attributing each quotation to the original speaker. Applying this task to news data is highly …...
RARR: Researching and Revising What Language Models Say, Using Language Models
AbstractLanguage models (LMs) now excel at many tasks such as question answering, reasoning, and dialog. However, they sometimes generate unsupported or misleading content. A user cannot easily determine whether their …...