Discourse relations describe how two propositions relate to one another, and identifying
them automatically is an integral part of natural language understanding. However …

DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations Page 1
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) …

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 …

We propose a method to learn contextualized and generalized sentence representations
using contrastive self-supervised learning. In the proposed method, a model is given a text …

The perspective of being able to crowd-source coherence relations bears the promise of
acquiring annotations for new texts quickly, which could then increase the size and variety of …

Obtaining linguistic annotation from novice crowdworkers is far from trivial. A case in point is
the annotation of discourse relations, which is a complicated task. Recent methods have …

Interpreting implicit discourse relations involves complex reasoning, requiring the integration
of semantic cues with background knowledge, as overt connectives like because or then are …

Readers adopt their domain knowledge to make inferences about information that is left
implicit in the text. The present research investigates the role of domain knowledge in …

We propose a personalized dialogue scenario generation system which transmits efficient
and coherent information with a real-time extractive summarization method optimized by an …

The realization of computers that understand natural language to the same extent as
humans is the ultimate goal of Natural Language Processing (NLP). Toward this goal …