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 …
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 …
Discourse markers and (dis) fluency
L Crible - 2018 - torrossa.com
2.1 Disfluency or repair? Levelt's legacy 10 2.2 Holistic definitions of fluency 13 2.3
Componential approaches to fluency and disfluency 14 2.3. 1 Qualitative components of …
Componential approaches to fluency and disfluency 14 2.3. 1 Qualitative components of …
[PDF][PDF] ISO 24617-2: A semantically-based standard for dialogue annotation.
This paper summarizes the latest, final version of ISO standard 24617-2 “Semantic
annotation framework, Part 2: Dialogue acts”. Compared to the preliminary version ISO DIS …
annotation framework, Part 2: Dialogue acts”. Compared to the preliminary version ISO DIS …
Discourse structure and language technology
An increasing number of researchers and practitioners in Natural Language Engineering
face the prospect of having to work with entire texts, rather than individual sentences. While …
face the prospect of having to work with entire texts, rather than individual sentences. While …
Domains and functions: A two-dimensional account of discourse markers
Discourse markers and their functions have been modeled through a large number of very
diverse frameworks. Most of these models target written language and the discourse …
diverse frameworks. Most of these models target written language and the discourse …
DisCut and DiscReT: MELODI at DISRPT 2023
This paper presents the results obtained by the MELODI team for the three tasks proposed
within the DISRPT 2023 shared task on discourse: segmentation, connective identification …
within the DISRPT 2023 shared task on discourse: segmentation, connective identification …
HITS at DISRPT 2023: Discourse segmentation, connective detection, and relation classification
HITS participated in the Discourse Segmentation (DS, Task 1) and Connective Detection
(CD, Task 2) tasks at the DISRPT 2023. Task 1 focuses on segmenting the text into …
(CD, Task 2) tasks at the DISRPT 2023. Task 1 focuses on segmenting the text into …
[PDF][PDF] Discourse annotation in the PDTB: The next generation
We present highlights from our work on enriching the Penn Discourse Treebank (PDTB), to
be released to the community in Fall 2018 as the PDTB-3. We have increased its coverage …
be released to the community in Fall 2018 as the PDTB-3. We have increased its coverage …
The biomedical discourse relation bank
Background Identification of discourse relations, such as causal and contrastive relations,
between situations mentioned in text is an important task for biomedical text-mining. A …
between situations mentioned in text is an important task for biomedical text-mining. A …