A hierarchical neural autoencoder for paragraphs and documents
Natural language generation of coherent long texts like paragraphs or longer documents is
a challenging problem for recurrent networks models. In this paper, we explore an important …
a challenging problem for recurrent networks models. In this paper, we explore an important …
Summarizing opinions: Aspect extraction meets sentiment prediction and they are both weakly supervised
We present a neural framework for opinion summarization from online product reviews
which is knowledge-lean and only requires light supervision (eg, in the form of product …
which is knowledge-lean and only requires light supervision (eg, in the form of product …
Rhetorical structure theory: A comprehensive review of theory, parsing methods and applications
S Hou, S Zhang, C Fei - Expert Systems with Applications, 2020 - Elsevier
Rhetorical structure theory (RST) is a significant theory about discourse organization. With
an increasing number of research interests focus on RST, many novel parsing approaches …
an increasing number of research interests focus on RST, many novel parsing approaches …
Better document-level sentiment analysis from rst discourse parsing
Discourse structure is the hidden link between surface features and document-level
properties, such as sentiment polarity. We show that the discourse analyses produced by …
properties, such as sentiment polarity. We show that the discourse analyses produced by …
Learning structured text representations
In this paper, we focus on learning structure-aware document representations from data
without recourse to a discourse parser or additional annotations. Drawing inspiration from …
without recourse to a discourse parser or additional annotations. Drawing inspiration from …
Codra: A novel discriminative framework for rhetorical analysis
Clauses and sentences rarely stand on their own in an actual discourse; rather, the
relationship between them carries important information that allows the discourse to express …
relationship between them carries important information that allows the discourse to express …
[PDF][PDF] Towards news verification: Deception detection methods for news discourse
News verification is a process of determining whether a particular news report is truthful or
deceptive. Deliberately deceptive (fabricated) news creates false conclusions in the readers' …
deceptive. Deliberately deceptive (fabricated) news creates false conclusions in the readers' …
[PDF][PDF] A linear-time bottom-up discourse parser with constraints and post-editing
Text-level discourse parsing remains a challenge. The current state-of-the-art overall
accuracy in relation assignment is 55.73%, achieved by Joty et al.(2013). However, their …
accuracy in relation assignment is 55.73%, achieved by Joty et al.(2013). However, their …
Multiple instance learning networks for fine-grained sentiment analysis
We consider the task of fine-grained sentiment analysis from the perspective of multiple
instance learning (MIL). Our neural model is trained on document sentiment labels, and …
instance learning (MIL). Our neural model is trained on document sentiment labels, and …
Truth and deception at the rhetorical structure level
This paper furthers the development of methods to distinguish truth from deception in textual
data. We use rhetorical structure theory (RST) as the analytic framework to identify …
data. We use rhetorical structure theory (RST) as the analytic framework to identify …