The semantic un- certainty of a proposition can be identified in most cases by using a finite dictionary (i.e., lexical cues) and the key steps of uncertainty ...
In this study, we focus on the genre and domain differences of the context-dependent semantic uncertainty cue recognition task. We introduce a unified ...
We introduce a unified subcategorization of semantic uncertainty as different domain applications can apply different uncertainty categories. Based on this ...
A unified subcategorization of semantic uncertainty as different domain applications can apply different uncertainty categories is introduced and the domain ...
Cross-Genre and Cross-Domain Detection of Semantic Uncertainty ...
colab.ws › articles › COLI_a_00098
In this study, we focus on the genre and domain differences of the context-dependent semantic uncertainty cue recognition task. We introduce a unified ...
Cross-genre and cross-domain detection of semantic uncertainty. Computational Linguistics, 38(2):335–367,. 2012. [20] O. Täckström, S. Velupillai, M. Hassel ...
... Cross-domain Cue Recognition Model ... uncertainty detectors for several domains, with the help of supervised machine learning techniques.
Cross-genre and cross-domain detection of semantic uncertainty. Computational Linguistics, 38(2):335–367,. 2012. [20] O. Täckström, S. Velupillai, M. Hassel ...
Detecting speculative assertions is essential to distinguish semantically uncertain information from the factual ones in text.
We introduce a scalable and adaptive method to recognize semantically equivalent cues of uncertainty across different fields of research.