Understanding a discourse means constructing a coherent representation of that discourse.
Inferring coherence relations, such as cause‐consequence and claim‐argument, is a …

When readers process a text, they establish a coherent representation by means of coherence
relations. This article focuses on the cognitive status of these relations. In an experiment …

Coherence relations such äs Cause—Consequence and Claim—Argument establish the
link between two discourse segments. A review of existing accounts of coherence relations …

Causal connectives are often considered to provide crucial information about the discourse
structure; they signal a causal relation between two text segments. However, in many …

In this paper, we show how three often used and seemingly different discourse annotation
frameworks – Penn Discourse Treebank (PDTB), Rhetorical Structure Theory (RST), and …

Many languages of the world have connectives to express causal relations at the discourse
level. Often, language users systematically prefer one lexical item (because) over another (…

Many studies have shown that readers and listeners recruit verb-based implicit causality
information rapidly in the service of pronoun resolution. However, since most of these studies …

Research on the processing of causality has shown that causally related sentences lead to
faster reading, better recall, and better comprehension than sentences that are not causally …

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 and …

When students read their school text, they may make a coherent mental representation of it
that contains coherence relations between the text segments. The construction of such a …