DisCoDisCo at the DISRPT2021 shared task: A system for discourse segmentation, classification, and connective detection
This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit
Segmentation, Connective Detection, and Relation Classification. Our system, called …
Segmentation, Connective Detection, and Relation Classification. Our system, called …
Mention detection in coreference resolution: survey
Coreference Resolution is an essential task for Natural Language Processing (NLP)
application, which has a paramount impact on the performance of text summarization …
application, which has a paramount impact on the performance of text summarization …
Why can't discourse parsing generalize? A thorough investigation of the impact of data diversity
Recent advances in discourse parsing performance create the impression that, as in other
NLP tasks, performance for high-resource languages such as English is finally becoming …
NLP tasks, performance for high-resource languages such as English is finally becoming …
Quasi: a synthetic question-answering dataset in Swedish using GPT-3 and zero-shot learning
D Kalpakchi, J Boye - Proceedings of the 24th Nordic Conference …, 2023 - aclanthology.org
This paper describes the creation and evaluation of a synthetic dataset of Swedish multiple-
choice questions (MCQs) for reading comprehension using GPT-3. Although GPT-3 is …
choice questions (MCQs) for reading comprehension using GPT-3. Although GPT-3 is …
What's Hard in English RST Parsing? Predictive Models for Error Analysis
Despite recent advances in Natural Language Processing (NLP), hierarchical discourse
parsing in the framework of Rhetorical Structure Theory remains challenging, and our …
parsing in the framework of Rhetorical Structure Theory remains challenging, and our …
Aggregating crowdsourced and automatic judgments to scale up a corpus of anaphoric reference for fiction and Wikipedia texts
Although several datasets annotated for anaphoric reference/coreference exist, even the
largest such datasets have limitations in terms of size, range of domains, coverage of …
largest such datasets have limitations in terms of size, range of domains, coverage of …
Developing a multilayer semantic annotation scheme based on ISO standards for the visualization of a newswire corpus
In this paper, we describe the process of developing a multilayer semantic annotation
scheme designed for extracting information from a European Portuguese corpus of news …
scheme designed for extracting information from a European Portuguese corpus of news …
Exploring a Multi-Layered Cross-Genre Corpus of Document-Level Semantic Relations
This paper introduces a multi-layered cross-genre corpus, annotated for coreference
resolution, causal relations, and temporal relations, comprising a variety of genres, from …
resolution, causal relations, and temporal relations, comprising a variety of genres, from …
eRST: A Signaled Graph Theory of Discourse Relations and Organization
In this article we present Enhanced Rhetorical Structure Theory (eRST), a new theoretical
framework for computational discourse analysis, based on an expansion of Rhetorical …
framework for computational discourse analysis, based on an expansion of Rhetorical …
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
Work on shallow discourse parsing in English has focused on the Wall Street Journal
corpus, the only large-scale dataset for the language in the PDTB framework. However, the …
corpus, the only large-scale dataset for the language in the PDTB framework. However, the …