Annotated data is an important resource for the linguistics community, which is why
researchers need to be sure that such data are reliable. However, arriving at sufficiently …

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 present KWJA, a high-performance unified Japanese text analyzer based on foundation
models. KWJA supports a wide range of tasks, including typo correction, word segmentation …

Examples and specifications occur frequently in text, but not much is known about how they
function in discourse and how readers interpret them. Looking at how they're annotated in …

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 …

Traditional discourse annotation tasks are considered costly and time-consuming, and the
reliability and validity of these tasks is in question. In this paper, we investigate whether …

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 …