As an essential component of human cognition, cause–effect relations appear frequently in
text, and curating cause–effect relations from text helps in building causal networks for …

A discourse containing one or more sentences describes daily issues and events for people
to communicate their thoughts and opinions. As sentences are normally consist of multiple …

In this paper, we present a novel approach for identifying argumentative discourse structures
in persuasive essays. The structure of argumentation consists of several components (ie …

We critically assess mainstream accounting and finance research applying methods from
computational linguistics (CL) to study financial discourse. We also review common themes …

Despite the importance of understanding causality, corpora addressing causal relations are
limited. There is a discrepancy between existing annotation guidelines of event causality …

This paper develops a minimally supervised approach, based on focused distributional
similarity methods and discourse connectives, for identifying of causality relations between …

The idea for this textbook emerged when Sandra was teaching corpus linguistics to
linguistics and computational linguistics students at Indiana University. One of the goals of …

We argue that coherence relations (relations between propositions, such as Concession or
Purpose) are signalled more frequently and by more means than is generally believed. We …

We describe a discourse annotation scheme for Chinese and report on the preliminary
results. Our scheme, inspired by the Penn Discourse TreeBank (PDTB), adopts the lexically …

Coherence relations can be made linguistically explicit by means of connectives (eg, but,
because) or cue phrases (eg, on the other hand, which is why), but can also be left implicit …