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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
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
Article No.: 39
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
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...
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
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
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
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...
Introduction to the special section on intelligent systems for socially aware computing
Zhiwen Yu, Daqing Zhang, Nathan Eagle, Diane Cook
Article No.: 45
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
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
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...
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)...
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...
Introduction to the special section on social computing, behavioral-cultural modeling, and prediction
Shanchieh Jay Yang, Dana Nau, John Salerno
Article No.: 51
Optimization-based influencing of village social networks in a counterinsurgency
Benjamin W.K. Hung, Stephan E. Kolitz, Asuman Ozdaglar
Article No.: 52
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
Article No.: 53
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...
Using qualitative reasoning for social simulation of crowds
Natalie Fridman, Gal A. Kaminka
Article No.: 54
The ability to model and reason about the potential violence level of a demonstration is important to the police decision making process. Unfortunately, existing knowledge regarding demonstrations is composed of partial qualitative descriptions...
Detecting changes in information diffusion patterns over social networks
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Article No.: 55
We addressed the problem of detecting the change in behavior of information diffusion over a social network which is caused by an unknown external situation change using a small amount of observation data in a retrospective setting. The unknown...
Analysis of friendship network and its role in explaining obesity
Achla Marathe, Zhengzheng Pan, Andrea Apolloni
Article No.: 56
We employ Add Health data to show that friendship networks, constructed from mutual friendship nominations, are important in building weight perception, setting weight goals, and measuring social marginalization among adolescents and young adults....