6,374 research outputs found
Centering, Anaphora Resolution, and Discourse Structure
Centering was formulated as a model of the relationship between attentional
state, the form of referring expressions, and the coherence of an utterance
within a discourse segment (Grosz, Joshi and Weinstein, 1986; Grosz, Joshi and
Weinstein, 1995). In this chapter, I argue that the restriction of centering to
operating within a discourse segment should be abandoned in order to integrate
centering with a model of global discourse structure. The within-segment
restriction causes three problems. The first problem is that centers are often
continued over discourse segment boundaries with pronominal referring
expressions whose form is identical to those that occur within a discourse
segment. The second problem is that recent work has shown that listeners
perceive segment boundaries at various levels of granularity. If centering
models a universal processing phenomenon, it is implausible that each listener
is using a different centering algorithm.The third issue is that even for
utterances within a discourse segment, there are strong contrasts between
utterances whose adjacent utterance within a segment is hierarchically recent
and those whose adjacent utterance within a segment is linearly recent. This
chapter argues that these problems can be eliminated by replacing Grosz and
Sidner's stack model of attentional state with an alternate model, the cache
model. I show how the cache model is easily integrated with the centering
algorithm, and provide several types of data from naturally occurring
discourses that support the proposed integrated model. Future work should
provide additional support for these claims with an examination of a larger
corpus of naturally occurring discourses.Comment: 35 pages, uses elsart12, lingmacros, named, psfi
Why cybersafety tips don’t work for cyberbullying
Research into cyberbullying in Australia has been slow. This is partly because rigorous research takes time, both to conduct, to analyse and to publish. In addition, Australian governments and other decision makers did not realise that cyberbullying was happening until there was greater media attention to the problem in the last few years. This meant that there was no serious research money allocated to cyberbullying research in Australia until about two years ago. In addition, initial research has mainly looked at how many students have been cyberbullied and what were the consequences. As far as I know there is only one large research project which is looking at what programs actually work to prevent and/or intervene in cyberbullying in Australia and that will take time to ascertain. However, our society wants quick fixes and they want a quick fix for cyberbullying
Happy?? Slapping??
For a few years now in Australia and worldwide cyber bullying has been the 'new' buzz word in student bullying. Now, however, 'happy slapping' seems to have usurped that place. While cyber bullying is defined as bullying through any kind of technology, happy slapping combines both face-to-face physical violence and technology. But is it actually bullying? And is it a school responsibility
Limited Attention and Discourse Structure
This squib examines the role of limited attention in a theory of discourse
structure and proposes a model of attentional state that relates current
hierarchical theories of discourse structure to empirical evidence about human
discourse processing capabilities. First, I present examples that are not
predicted by Grosz and Sidner's stack model of attentional state. Then I
consider an alternative model of attentional state, the cache model, which
accounts for the examples, and which makes particular processing predictions.
Finally I suggest a number of ways that future research could distinguish the
predictions of the cache model and the stack model.Comment: 9 pages, uses twoside,cl,lingmacro
Inferring Acceptance and Rejection in Dialogue by Default Rules of Inference
This paper discusses the processes by which conversants in a dialogue can
infer whether their assertions and proposals have been accepted or rejected by
their conversational partners. It expands on previous work by showing that
logical consistency is a necessary indicator of acceptance, but that it is not
sufficient, and that logical inconsistency is sufficient as an indicator of
rejection, but it is not necessary. I show how conversants can use information
structure and prosody as well as logical reasoning in distinguishing between
acceptances and logically consistent rejections, and relate this work to
previous work on implicature and default reasoning by introducing three new
classes of rejection: {\sc implicature rejections}, {\sc epistemic rejections}
and {\sc deliberation rejections}. I show how these rejections are inferred as
a result of default inferences, which, by other analyses, would have been
blocked by the context. In order to account for these facts, I propose a model
of the common ground that allows these default inferences to go through, and
show how the model, originally proposed to account for the various forms of
acceptance, can also model all types of rejection.Comment: 37 pages, uses fullpage, lingmacros, name
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