activity
19942018
most citedTowards a Principled Representation of Discourse Plans

46 citations · 93 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2018★ 4 cited

Polarity and Intensity: the Two Aspects of Sentiment Analysis

Leimin Tian, Catherine Lai, Johanna D. Moore

Current multimodal sentiment analysis frames sentiment score prediction as a general Machine Learning task. However, what the sentiment score actually represents has often been ove…

cs.OS1998

A nested transaction mechanism for LOCUS

Erik T. Mueller, Johanna D. Moore, Gerald J. Popek

A working implementation of nested transactions has been produced for LOCUS, an integrated distributed operating system which provides a high degree of network transparency. Severa…

cmp-lg1998★ 1 cited

An Empirical Investigation of Proposals in Collaborative Dialogues

Barbara Di Eugenio, Pamela W. Jordan, Johanna D. Moore +1

We describe a corpus-based investigation of proposals in dialogue. First, we describe our DRI compliant coding scheme and report our inter-coder reliability results. Next, we test…

cmp-lg1997★ 12 cited

Learning Features that Predict Cue Usage

Barbara Di Eugenio, Johanna D. Moore, Massimo Paolucci

Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanation…

cmp-lg1994★ 30 cited

DPOCL: A Principled Approach to Discourse Planning

R. Michael Young, Johanna D. Moore

Research in discourse processing has identified two representational requirements for discourse planning systems. First, discourse plans must adequately represent the intentional s…

cmp-lg1994★ 46 cited

Towards a Principled Representation of Discourse Plans

R. Michael Young, Johanna D. Moore, Martha E. Pollack

We argue that discourse plans must capture the intended causal and decompositional relations between communicative actions. We present a planning algorithm, DPOCL, that builds plan…