Intelligent Systems and Technology (TIST)


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ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction, Volume 4 Issue 3, June 2013

Section: 1 - Special Section on Paraphrasing

Introduction to special section on paraphrasing
Haifeng Wang, Bill Dolan, Idan Szpektor, Shiqi Zhao
Article No.: 37
DOI: 10.1145/2483669.2483670

Using targeted paraphrasing and monolingual crowdsourcing to improve translation
Philip Resnik, Olivia Buzek, Yakov Kronrod, Chang Hu, Alexander J. Quinn, Benjamin B. Bederson
Article No.: 38
DOI: 10.1145/2483669.2483671

Targeted paraphrasing is a new approach to the problem of obtaining cost-effective, reasonable quality translation, which makes use of simple and inexpensive human computations by monolingual speakers in combination with machine translation. The...

Distributional phrasal paraphrase generation for statistical machine translation
Yuval Marton
Article No.: 39
DOI: 10.1145/2483669.2483672

Paraphrase generation has been shown useful for various natural language processing tasks, including statistical machine translation. A commonly used method for paraphrase generation is pivoting [Callison-Burch et al. 2006], which benefits from...

Generating targeted paraphrases for improved translation
Nitin Madnani, Bonnie J. Dorr
Article No.: 40
DOI: 10.1145/2483669.2483673

Today's Statistical Machine Translation (SMT) systems require high-quality human translations for parameter tuning, in addition to large bitexts for learning the translation units. This parameter tuning usually involves generating translations at...

An abstractive approach to sentence compression
Trevor Cohn, Mirella Lapata
Article No.: 41
DOI: 10.1145/2483669.2483674

In this article we generalize the sentence compression task. Rather than simply shorten a sentence by deleting words or constituents, as in previous work, we rewrite it using additional operations such as substitution, reordering, and insertion....

An inference-based model of word meaning in context as a paraphrase distribution
Taesun Moon, Katrin Erk
Article No.: 42
DOI: 10.1145/2483669.2483675

Graded models of word meaning in context characterize the meaning of individual usages (occurrences) without reference to dictionary senses. We introduce a novel approach that frames the task of computing word meaning in context as a probabilistic...

Paraphrase acquisition via crowdsourcing and machine learning
Steven Burrows, Martin Potthast, Benno Stein
Article No.: 43
DOI: 10.1145/2483669.2483676

To paraphrase means to rewrite content while preserving the original meaning. Paraphrasing is important in fields such as text reuse in journalism, anonymizing work, and improving the quality of customer-written reviews. This article contributes...

Multitechnique paraphrase alignment: A contribution to pinpointing sub-sentential paraphrases
Houda Bouamor, Auréelien Max, Anne Vilnat
Article No.: 44
DOI: 10.1145/2483669.2483677

This work uses parallel monolingual corpora for a detailed study of the task of sub-sentential paraphrase acquisition. We argue that the scarcity of this type of resource is compensated by the fact that it is the most suited type for studies on...

Section: 2 - Special Section on Intelligent Systems for Socially Aware Computing

Introduction to the special section on intelligent systems for socially aware computing
Zhiwen Yu, Daqing Zhang, Nathan Eagle, Diane Cook
Article No.: 45
DOI: 10.1145/2483669.2483678

Pervasive social context: Taxonomy and survey
Daniel Schuster, Alberto Rosi, Marco Mamei, Thomas Springer, Markus Endler, Franco Zambonelli
Article No.: 46
DOI: 10.1145/2483669.2483679

As pervasive computing meets social networks, there is a fast growing research field called pervasive social computing. Applications in this area exploit the richness of information arising out of people using sensor-equipped pervasive devices in...

Nontrivial landmark recommendation using geotagged photos
Yue Shi, Pavel Serdyukov, Alan Hanjalic, Martha Larson
Article No.: 47
DOI: 10.1145/2483669.2483680

Online photo-sharing sites provide a wealth of information about user behavior and their potential is increasing as it becomes ever-more common for images to be associated with location information in the form of geotags. In this article, we...

Exploring pattern-aware travel routes for trajectory search
Ling-Yin Wei, Wen-Chih Peng, Wang-Chien Lee
Article No.: 48
DOI: 10.1145/2483669.2483681

With the popularity of positioning devices, Web 2.0 technology, and trip sharing services, many users are willing to log and share their trips on the Web. Thus, trip planning Web sites are able to provide some new services by inferring...

Semantic trajectories: Mobility data computation and annotation
Zhixian Yan, Dipanjan Chakraborty, Christine Parent, Stefano Spaccapietra, Karl Aberer
Article No.: 49
DOI: 10.1145/2483669.2483682

With the large-scale adoption of GPS equipped mobile sensing devices, positional data generated by moving objects (e.g., vehicles, people, animals) are being easily collected. Such data are typically modeled as streams of spatio-temporal (x,y,t)...

Connecting people through physical proximity and physical resources at a conference
Alvin Chin, Bin Xu, Hao Wang, Lele Chang, Hao Wang, Lijun Zhu
Article No.: 50
DOI: 10.1145/2483669.2483683

This work investigates how to bridge the gap between offline and online behaviors at a conference and how the physical resources in the conference (the physical objects used in the conference for gathering attendees together in engaging an...

Section: 3 - Special Section on Social Computing, Behavioral-Cultural Modeling, and Prediction

Introduction to the special section on social computing, behavioral-cultural modeling, and prediction
Shanchieh Jay Yang, Dana Nau, John Salerno
Article No.: 51
DOI: 10.1145/2483669.2483684

Optimization-based influencing of village social networks in a counterinsurgency
Benjamin W.K. Hung, Stephan E. Kolitz, Asuman Ozdaglar
Article No.: 52
DOI: 10.1145/2483669.2483685

This article considers the nonlethal targeting assignment problem in the counterinsurgency in Afghanistan, the problem of deciding on the people whom U.S. forces should engage through outreach, negotiations, meetings, and other interactions in...

Markov models of social dynamics: Theory and applications
Herbert Gintis
Article No.: 53
DOI: 10.1145/2483669.2483686

This article shows how agent-based models of social dynamics can be treated rigorously and analytically as finite Markov processes, and their long-run properties are then given by an expanded version of the ergodic theorem for Markov processes. A...