The current study investigated how a contextual list signal influences comprehenders' inference generation of upcoming discourse relations and whether individual differences in working memory capacity and linguistic experience influence the generation of these inferences. Participants were asked to complete two-sentence stories, the first sentence of which contained an expression of quantity (a few, multiple). Several individual-difference measures were calculated to explore whether individual characteristics can explain the sensitivity to the contextual list signal. The results revealed that participants were sensitive to a contextual list signal (i.e., they provided list continuations), and this sensitivity was modulated by the participants' linguistic experience, as measured by an author recognition test. The results showed no evidence that working memory affected participants' responses. These results extend prior research by showing that contextual signals influence participants' coherence-relation-inference generation. Further, the results of the current study emphasize the importance of individual reader characteristics when it comes to coherence-relation inferences. When comprehenders understand discourse, they understand more than what is explicitly stated: They create connections between clauses and sentences that are left implicit in the discourse. These connections, known as coherence relations, are needed to create a coherent mental representation of the text (Sanders & Noordman, 2000; Sanders et al., 1992). Comprehenders can make use of different sources of information to infer coherence relations. The most-well-studied type of cues that direct the interpretation process is the prototypical relational marker: connectives and cue phrases such as because and for example. Relations that are signaled by such markers are referred to as explicit relations. Many relations are in fact left implicit; that is, they are not marked by a connective or cue phrase (over 50% of relations in the Penn Discourse Treebank, see Prasad et al., 2007). For such relations, comprehenders can exploit regularities of signals that tend to co-occur with specific types of relations (these regularities will be referred to as relational signals from now on). Relational signals include lexico-semantic word pairs such as good-bad and many-one of these (