Recent advances in deep learning based dialogue systems: A systematic survey
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
Recent advances in natural language inference: A survey of benchmarks, resources, and approaches
In the NLP community, recent years have seen a surge of research activities that address
machines' ability to perform deep language understanding which goes beyond what is …
machines' ability to perform deep language understanding which goes beyond what is …
DialogSum: A real-life scenario dialogue summarization dataset
Proposal of large-scale datasets has facilitated research on deep neural models for news
summarization. Deep learning can also be potentially useful for spoken dialogue …
summarization. Deep learning can also be potentially useful for spoken dialogue …
Discourse-aware neural extractive text summarization
Recently BERT has been adopted for document encoding in state-of-the-art text
summarization models. However, sentence-based extractive models often result in …
summarization models. However, sentence-based extractive models often result in …
The Penn Discourse Treebank: An annotated corpus of discourse relations
R Prasad, B Webber, A Joshi - Handbook of linguistic annotation, 2017 - Springer
Understanding discourse relies to a great extent on correctly interpreting relations holding
between the eventualities and facts mentioned in discourse. These discourse relations, such …
between the eventualities and facts mentioned in discourse. These discourse relations, such …
[图书][B] Handbook of natural language processing
N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …
and techniques for implementing natural language processing in computer systems. Along …
[图书][B] Imagination and convention: Distinguishing grammar and inference in language
How do hearers manage to understand speakers? And how do speakers manage to shape
hearers' understanding? Lepore and Stone show that standard views about the workings of …
hearers' understanding? Lepore and Stone show that standard views about the workings of …
A PDTB-styled end-to-end discourse parser
Since the release of the large discourse-level annotation of the Penn Discourse Treebank
(PDTB), research work has been carried out on certain subtasks of this annotation, such as …
(PDTB), research work has been carried out on certain subtasks of this annotation, such as …
The event storyline corpus: A new benchmark for causal and temporal relation extraction
This paper reports on the Event StoryLine Corpus (ESC) v1. 0, a new benchmark dataset for
the temporal and causal relation detection. By developing this dataset, we also introduce a …
the temporal and causal relation detection. By developing this dataset, we also introduce a …
Representing discourse coherence: A corpus-based study
This article aims to present a set of discourse structure relations that are easy to code and to
develop criteria for an appropriate data structure for representing these relations. Discourse …
develop criteria for an appropriate data structure for representing these relations. Discourse …