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Bimal Viswanath, Muhammad Ahmad Bashir, Muhammad Bilal Zafar, Simon Bouget, Saikat Guha, Krishna Gummadi, Aniket Kate, and Alan Mislove
Publication details
Date: 1 November 2015
Type: Inproceeding
Publication details
Date: 1 November 2015
Type: Technical report
Publisher: USENIX – Advanced Computing Systems Association
Number: MSR-TR-2015-59
J. Burggraaff, J. Dorn, M. D'Souza, C. P. Kamm, P. Tewarie, P. Kontschieder, C. Morrison, A. Sellen, A. Criminisi, F. Dahlke, L. Kappos, and B. M. J. Uitdehaag
Publication details
Date: 1 October 2015
Type: Inproceeding
Bhanu Vattikonda, Vacha Dave, Saikat Guha, and Alex C. Scoeren
Publication details
Date: 1 October 2015
Type: Inproceeding
C. Morrison, K. Huckvale, A. Sakar, P. Kontschieder, J. Dorn, S. Steinheimer, C. P. Kamm, J. Burggraaff, M. D'Souza, F. Dahlke, L. Kappos, B. Uitdehaag, A. Criminisi, and A. Sellen
Publication details
Date: 1 October 2015
Type: Inproceeding
Bhaskar Mitra and Nick Craswell

Query auto-completion (QAC) systems typically suggest queries that have previously been observed in search logs. Given a partial user query, the system looks up this query prefix against a precomputed set of candidates, then orders them using ranking signals such as popularity. Such systems can only recommend queries for prefixes that have been previously seen by the search engine with adequate frequency. They fail to recommend if the prefix is sufficiently rare such that it has no matches in the...

Publication details
Date: 1 October 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Abdullah-Al Mamun, Iyswarya Narayanan, Di Wang, Anand Sivasubramaniam, and Hosam K. Fathy
Publication details
Date: 1 October 2015
Type: Article
Publisher: ASME
Dongwook Yoon, Nicholas Chen, François Guimbretière, and Abigail Sellen

This paper introduces a novel document annotation system that aims to enable the kinds of rich communication that usually only occur in face-to-face meetings. Our system, RichReview, lets users create annotations on top of digital documents using three main modalities: freeform inking, voice for narration, and deictic gestures in support of voice. RichReview uses novel visual representations and timesynchronization between modalities to simplify annotation access and navigation. Moreover, RichReview’s...

Publication details
Date: 1 October 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Jianpeng Cheng, Zhongyuan Wang, Ji-Rong Wen, Jun Yan, and Zheng Chen

Representing discrete words in a continuous vector space turns out to be useful for natural language applications related to text understanding. Meanwhile, it poses extensive challenges, one of which is due to the polysemous nature of human language. A common solution (a.k.a word sense induction) is to separate each word into multiple senses and create a representation for each sense respectively. However, this approach is usually computationally expensive and prone to data sparsity, since each sense...

Publication details
Date: 1 October 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Alistair Moffat, Falk Scholer, Paul Thomas, and Peter Bailey

Evaluation of information retrieval systems with test collections makes use of a suite of fixed resources: a document corpus; a set of topics; and associated judgments of the relevance of each document to each topic. With large modern collections, exhaustive judging is not feasible. Therefore an approach called pooling is typically used where, for example, the documents to be judged can be determined by taking the union of all documents returned in the top positions of the answer lists returned...

Publication details
Date: 1 October 2015
Type: Article
Publisher: ACM – Association for Computing Machinery
Zhongyuan Wang, Haixun Wang, Ji-Rong Wen, and Yanghua Xiao

Humans understand the world by classifying objects into an appropriate level of categories. This process is often automatic and subconscious. Psychologists and linguists call it as Basic-level Categorization (BLC). BLC can benefit lots of applications such as knowledge panel, advertising and recommendation. However, how to quantify basic-level concepts is still an open problem. Recently, much work focuses on constructing knowledge bases or semantic networks from web scale text corpora, which makes it...

Publication details
Date: 1 October 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
H. Lombaert, A. Criminisi, and N. Ayache

This paper presents a new method for classifying surface data via spectral representations of shapes. Our approach benefits classification problems that involve data living on surfaces, such as in cortical parcellation. For instance, current methods for labeling cortical points into surface parcels often involve a slow mesh deformation toward pre-labeled atlases, requiring as much as 4 hours with the established FreeSurfer. This may burden neuroscience studies involving region-specific measurements....

Publication details
Date: 1 October 2015
Type: Inproceeding
Publisher: Springer
M. D'Souza, J. Burggraaff, P. Kontschieder, J. Dorn, C.P.Kamm, S. Seinheimer, P. Tewarie, C. Morrison, A. Sellen, A. Criminisi, F. Dahlke, B Uitdehaag, and L. Kappos
Publication details
Date: 1 October 2015
Type: Inproceeding
Meredith Ringel Morris, Andrew Begel, and Ben Wiedermann

Technology workers are often stereotyped as being socially awkward or having difficulty communicating, often with humorous intent; however, for many technology workers with atypical cognitive profiles, such issues are no laughing matter. In this paper, we explore the hidden lives of neurodiverse technology workers, e.g., those with autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and/or other learning disabilities, such as dyslexia. We present findings from interviews...

Publication details
Date: 1 October 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Yi Yang, Wen-tau Yih, and Christopher Meek

We describe the WikiQA dataset, a new publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering. Most previous work on answer sentence selection focuses on a dataset created using the TREC-QA data, which includes editor-generated questions and candidate answer sentences selected by matching content words in the question. WikiQA is constructed using a more natural process and is more than an order of magnitude larger than the previous...

Publication details
Date: 21 September 2015
Type: Inproceeding
Publisher: ACL – Association for Computational Linguistics
Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, and Michael Gamon

Models that learn to represent textual and knowledge base relations in the same continuous latent space are able to perform joint inferences among the two kinds of relations and obtain high accuracy on knowledge base completion (Riedel et al. 2013). In this paper we propose a model that captures the compositional structure of textual relations, and jointly optimizes entity, knowledge base, and textual relation representations. The proposed model significantly improves performance over a model that...

Publication details
Date: 17 September 2015
Type: Inproceeding
Publisher: ACL – Association for Computational Linguistics
Vasileios Lampos, Elad Yom-Tov, Richard Pebody, and Ingemar J. Cox

Assessing the effect of a health-oriented intervention by traditional epidemiological methods is commonly based only on population segments that use healthcare services. Here we introduce a complementary framework for evaluating the impact of a targeted intervention, such as a vaccination campaign against an infectious disease, through a statistical analysis of usergenerated content submitted on web platforms. Using supervised learning, we derive a nonlinear regression model for estimating the...

Publication details
Date: 7 September 2015
Type: Article
Publisher: Springer
Sree Harsha Yella and Andreas Stolcke

Speaker diarization finds contiguous speaker segments in an audio stream and clusters them by speaker identity, without using a-priori knowledge about the number of speakers or enrollment data. Diarization typically clusters speech segments based on short-term spectral features. In prior work, we showed that neural networks can serve as discriminative feature transformers for diarization by training them to perform same/different speaker comparisons on speech segments, yielding improved diarization...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: ISCA - International Speech Communication Association
M. Levit, A. Stolcke, R. Subba, S. Parthasarathy, S. Chang, S. Xie, T. Anastasakos, and B. Dumoulin

We continue our investigations of Word-Phrase-Entity (WPE) Language Models that unify words, phrases and classes, such as named entities, into a single probabilistic framework for the purpose of language modeling. In the present study we show how WPE LMs can be adapted to work in a personalized scenario where class definitions change from user to user or even from utterance to utterance. Compared to traditional classbased LMs in various conditions, WPE LMs exhibited comparable or better...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: ISCA - International Speech Communication Association
Jason D. Williams, Eslam Kamal, Mokhtar Ashour, Hani Amr, Jessica Miller, and Geoff Zweig

With Language Understanding Intelligent Service (LUIS), developers without machine learning expertise can quickly build and use language understanding models specific to their task. LUIS is entirely cloud-based: developers log into a website, enter a few example utterances and their labels, and then deploy a model to an HTTP endpoint. Utterances sent to the endpoint are logged and can be efficiently labeled using active learning. Visualizations help identify issues, which can be resolved by either...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: ACL – Association for Computational Linguistics
TJ Tsai and Andreas Stolcke

This paper proposes a robust and efficient way to temporally align a set of unsynchronized meeting recordings, such as might be collected by participants’ cell phones. We propose an adaptive audio fingerprint which is learned on-the-fly in a completely unsupervised manner to adapt to the characteristics of a given set of unaligned recordings. The design of the adaptive audio fingerprint is formulated as a series of optimization problems which can be solved very efficiently using eigenvector routines. We...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: ISCA - International Speech Communication Association
Suman Ravuri and Andreas Stolcke

Utterance classification is a critical pre-processing step for many speech understanding and dialog systems. In multi-user settings, one needs to first identify if an utterance is even directed at the system, followed by another level of classification to determine the intent of the user’s input. In this work, we propose RNN and LSTM models for both these tasks. We show how both models outperform baselines based on ngram-based language models (LMs), feedforward neural network LMs, and boosting...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: ISCA - International Speech Communication Association
Paul N. Bennett, Milad Shokouhi, and Rich Caruana

Interaction data such as clicks and dwells provide valuable signals for learning and evaluating personalized models. However, while models of personalization typically distinguish between clicked and non-clicked results, no preference distinctions within the nonclicked results are made and all are treated as equally non-relevant.

In this paper, we demonstrate that failing to enforce a prior on preferences among non-clicked results leads to learning models that often personalize with no measurable...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Yu Zheng

The advances in location-acquisition and mobile computing techniques have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles and animals. Many techniques have been proposed for processing, managing and mining trajectory data in the past decade, fostering a broad range of applications. In this article, we conduct a systematic survey on the major research into trajectory data mining, providing a panorama of the field...

Publication details
Date: 1 September 2015
Type: Article
Publisher: ACM – Association for Computing Machinery
Yoli Shavit, Boyan Yordanov, Sara-Jane Dunn, Christoph M. Wintersteiger, Youssef Hamadi, and Hillel Kugler

A fundamental question in biology is how cells change into specific cell types with unique roles throughout development. This process can be viewed as a program prescribing the system dynamics, governed by a network of genetic interactions. Recent experimental evidence suggests that these networks are not fixed but rather change their topology as cells develop. Currently, there are limited tools for the construction and analysis of such self-modifying biological programs. We introduce Switching Gene...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: Springer
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