Facilitating contrastive learning of discourse relational senses by exploiting the hierarchy of sense relations
Implicit discourse relation recognition is a challenging task that involves identifying the
sense or senses that hold between two adjacent spans of text, in the absence of an explicit …
sense or senses that hold between two adjacent spans of text, in the absence of an explicit …
Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisions
VDH de Carvalho, APCS Costa - Library Hi Tech, 2024 - emerald.com
Purpose This article presents two Brazilian Portuguese corpora collected from different
media concerning public security issues in a specific location. The primary motivation is …
media concerning public security issues in a specific location. The primary motivation is …
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 …
Where are we in discourse relation recognition?
Discourse parsers recognize the intentional and inferential relationships that organize
extended texts. They have had a great influence on a variety of NLP tasks as well as …
extended texts. They have had a great influence on a variety of NLP tasks as well as …
[PDF][PDF] Discogem: A crowdsourced corpus of genre-mixed implicit discourse relations
DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations Page 1
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) …
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) …
[HTML][HTML] Design choices for crowdsourcing implicit discourse relations: revealing the biases introduced by task design
Disagreement in natural language annotation has mostly been studied from a perspective of
biases introduced by the annotators and the annotation frameworks. Here, we propose to …
biases introduced by the annotators and the annotation frameworks. Here, we propose to …
[HTML][HTML] Resources for Turkish natural language processing: A critical survey
This paper presents a comprehensive survey of corpora and lexical resources available for
Turkish. We review a broad range of resources, focusing on the ones that are publicly …
Turkish. We review a broad range of resources, focusing on the ones that are publicly …
Probing multilingual language models for discourse
Pre-trained multilingual language models have become an important building block in
multilingual natural language processing. In the present paper, we investigate a range of …
multilingual natural language processing. In the present paper, we investigate a range of …
Pac-bayesian domain adaptation bounds for multiclass learners
Multiclass neural networks are a common tool in modern unsupervised domain adaptation,
yet an appropriate theoretical description for their non-uniform sample complexity is lacking …
yet an appropriate theoretical description for their non-uniform sample complexity is lacking …
Toward a shallow discourse parser for Turkish
One of the most interesting aspects of natural language is how texts cohere, which involves
the pragmatic or semantic relations that hold between clauses (addition, cause-effect …
the pragmatic or semantic relations that hold between clauses (addition, cause-effect …