July 26, 2019

1776 words 9 mins read

Paper Group NANR 123

Paper Group NANR 123

Tracing armed conflicts with diachronic word embedding models. North-S'ami to Finnish rule-based machine translation system. Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models. Proceedings of the First Workshop on Language Grounding for Robotics. Integrating Decompositional Event Structures into Storylines. …

Tracing armed conflicts with diachronic word embedding models

Title Tracing armed conflicts with diachronic word embedding models
Authors Andrey Kutuzov, Erik Velldal, Lilja {\O}vrelid
Abstract Recent studies have shown that word embedding models can be used to trace time-related (diachronic) semantic shifts in particular words. In this paper, we evaluate some of these approaches on the new task of predicting the dynamics of global armed conflicts on a year-to-year basis, using a dataset from the conflict research field as the gold standard and the Gigaword news corpus as the training data. The results show that much work still remains in extracting {}cultural{'} semantic shifts from diachronic word embedding models. At the same time, we present a new task complete with an evaluation set and introduce the {}anchor words{'} method which outperforms previous approaches on this set.
Tasks Word Embeddings
Published 2017-08-01
URL https://www.aclweb.org/anthology/W17-2705/
PDF https://www.aclweb.org/anthology/W17-2705
PWC https://paperswithcode.com/paper/tracing-armed-conflicts-with-diachronic-word
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North-S'ami to Finnish rule-based machine translation system

Title North-S'ami to Finnish rule-based machine translation system
Authors Tommi Pirinen, Francis M. Tyers, Trond Trosterud, Ryan Johnson, Kevin Unhammer, Tiina Puolakainen
Abstract
Tasks Machine Translation
Published 2017-05-01
URL https://www.aclweb.org/anthology/W17-0214/
PDF https://www.aclweb.org/anthology/W17-0214
PWC https://paperswithcode.com/paper/north-sami-to-finnish-rule-based-machine
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Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models

Title Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models
Authors Rishit Sheth, Roni Khardon
Abstract Bayesian models are established as one of the main successful paradigms for complex problems in machine learning. To handle intractable inference, research in this area has developed new approximation methods that are fast and effective. However, theoretical analysis of the performance of such approximations is not well developed. The paper furthers such analysis by providing bounds on the excess risk of variational inference algorithms and related regularized loss minimization algorithms for a large class of latent variable models with Gaussian latent variables. We strengthen previous results for variational algorithms by showing they are competitive with any point-estimate predictor. Unlike previous work, we also provide bounds on the risk of the \emph{Bayesian} predictor and not just the risk of the Gibbs predictor for the same approximate posterior. The bounds are applied in complex models including sparse Gaussian processes and correlated topic models. Theoretical results are complemented by identifying novel approximations to the Bayesian objective that attempt to minimize the risk directly. An empirical evaluation compares the variational and new algorithms shedding further light on their performance.
Tasks Gaussian Processes, Latent Variable Models, Topic Models
Published 2017-12-01
URL http://papers.nips.cc/paper/7100-excess-risk-bounds-for-the-bayes-risk-using-variational-inference-in-latent-gaussian-models
PDF http://papers.nips.cc/paper/7100-excess-risk-bounds-for-the-bayes-risk-using-variational-inference-in-latent-gaussian-models.pdf
PWC https://paperswithcode.com/paper/excess-risk-bounds-for-the-bayes-risk-using
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Proceedings of the First Workshop on Language Grounding for Robotics

Title Proceedings of the First Workshop on Language Grounding for Robotics
Authors
Abstract
Tasks
Published 2017-08-01
URL https://www.aclweb.org/anthology/W17-2800/
PDF https://www.aclweb.org/anthology/W17-2800
PWC https://paperswithcode.com/paper/proceedings-of-the-first-workshop-on-language-1
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Integrating Decompositional Event Structures into Storylines

Title Integrating Decompositional Event Structures into Storylines
Authors William Croft, Pavl{'\i}na Pe{\v{s}}kov{'a}, Michael Regan
Abstract Storyline research links together events in stories and specifies shared participants in those stories. In these analyses, an atomic event is assumed to be a single clause headed by a single verb. However, many analyses of verbal semantics assume a decompositional analysis of events expressed in single clauses. We present a formalization of a decompositional analysis of events in which each participant in a clausal event has their own temporally extended subevent, and the subevents are related through causal and other interactions. This decomposition allows us to represent storylines as an evolving set of interactions between participants over time.
Tasks
Published 2017-08-01
URL https://www.aclweb.org/anthology/W17-2713/
PDF https://www.aclweb.org/anthology/W17-2713
PWC https://paperswithcode.com/paper/integrating-decompositional-event-structures
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Data Collection from Persons with Mild Forms of Cognitive Impairment and Healthy Controls - Infrastructure for Classification and Prediction of Dementia

Title Data Collection from Persons with Mild Forms of Cognitive Impairment and Healthy Controls - Infrastructure for Classification and Prediction of Dementia
Authors Dimitrios Kokkinakis, Kristina Lundholm Fors, Eva Bj{"o}rkner, Arto Nordlund
Abstract
Tasks
Published 2017-05-01
URL https://www.aclweb.org/anthology/W17-0220/
PDF https://www.aclweb.org/anthology/W17-0220
PWC https://paperswithcode.com/paper/data-collection-from-persons-with-mild-forms
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From Treebank to Propbank: A Semantic-Role and VerbNet Corpus for Danish

Title From Treebank to Propbank: A Semantic-Role and VerbNet Corpus for Danish
Authors Eckhard Bick
Abstract
Tasks
Published 2017-05-01
URL https://www.aclweb.org/anthology/W17-0223/
PDF https://www.aclweb.org/anthology/W17-0223
PWC https://paperswithcode.com/paper/from-treebank-to-propbank-a-semantic-role-and
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Statistical Models for Unsupervised, Semi-Supervised Supervised Transliteration Mining

Title Statistical Models for Unsupervised, Semi-Supervised Supervised Transliteration Mining
Authors Hassan Sajjad, Helmut Schmid, Alex Fraser, er, Hinrich Sch{"u}tze
Abstract We present a generative model that efficiently mines transliteration pairs in a consistent fashion in three different settings: unsupervised, semi-supervised, and supervised transliteration mining. The model interpolates two sub-models, one for the generation of transliteration pairs and one for the generation of non-transliteration pairs (i.e., noise). The model is trained on noisy unlabeled data using the EM algorithm. During training the transliteration sub-model learns to generate transliteration pairs and the fixed non-transliteration model generates the noise pairs. After training, the unlabeled data is disambiguated based on the posterior probabilities of the two sub-models. We evaluate our transliteration mining system on data from a transliteration mining shared task and on parallel corpora. For three out of four language pairs, our system outperforms all semi-supervised and supervised systems that participated in the NEWS 2010 shared task. On word pairs extracted from parallel corpora with fewer than 2{%} transliteration pairs, our system achieves up to 86.7{%} F-measure with 77.9{%} precision and 97.8{%} recall.
Tasks Transliteration
Published 2017-06-01
URL https://www.aclweb.org/anthology/J17-2003/
PDF https://www.aclweb.org/anthology/J17-2003
PWC https://paperswithcode.com/paper/statistical-models-for-unsupervised-semi
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Proceedings of the Second Workshop on NLP and Computational Social Science

Title Proceedings of the Second Workshop on NLP and Computational Social Science
Authors
Abstract
Tasks
Published 2017-08-01
URL https://www.aclweb.org/anthology/W17-2900/
PDF https://www.aclweb.org/anthology/W17-2900
PWC https://paperswithcode.com/paper/proceedings-of-the-second-workshop-on-nlp-and
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Framework

Effective Online Reordering with Arc-Eager Transitions

Title Effective Online Reordering with Arc-Eager Transitions
Authors Ryosuke Kohita, Hiroshi Noji, Yuji Matsumoto
Abstract We present a new transition system with word reordering for unrestricted non-projective dependency parsing. Our system is based on decomposed arc-eager rather than arc-standard, which allows more flexible ambiguity resolution between a local projective and non-local crossing attachment. In our experiment on Universal Dependencies 2.0, we find our parser outperforms the ordinary swap-based parser particularly on languages with a large amount of non-projectivity.
Tasks Dependency Parsing, Transition-Based Dependency Parsing
Published 2017-09-01
URL https://www.aclweb.org/anthology/W17-6313/
PDF https://www.aclweb.org/anthology/W17-6313
PWC https://paperswithcode.com/paper/effective-online-reordering-with-arc-eager
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Chunk-based Decoder for Neural Machine Translation

Title Chunk-based Decoder for Neural Machine Translation
Authors Shonosuke Ishiwatari, Jingtao Yao, Shujie Liu, Mu Li, Ming Zhou, Naoki Yoshinaga, Masaru Kitsuregawa, Weijia Jia
Abstract Chunks (or phrases) once played a pivotal role in machine translation. By using a chunk rather than a word as the basic translation unit, local (intra-chunk) and global (inter-chunk) word orders and dependencies can be easily modeled. The chunk structure, despite its importance, has not been considered in the decoders used for neural machine translation (NMT). In this paper, we propose chunk-based decoders for (NMT), each of which consists of a chunk-level decoder and a word-level decoder. The chunk-level decoder models global dependencies while the word-level decoder decides the local word order in a chunk. To output a target sentence, the chunk-level decoder generates a chunk representation containing global information, which the word-level decoder then uses as a basis to predict the words inside the chunk. Experimental results show that our proposed decoders can significantly improve translation performance in a WAT {`}16 English-to-Japanese translation task. |
Tasks Machine Translation
Published 2017-07-01
URL https://www.aclweb.org/anthology/P17-1174/
PDF https://www.aclweb.org/anthology/P17-1174
PWC https://paperswithcode.com/paper/chunk-based-decoder-for-neural-machine
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Framework

Personality Driven Differences in Paraphrase Preference

Title Personality Driven Differences in Paraphrase Preference
Authors Daniel Preo{\c{t}}iuc-Pietro, Jordan Carpenter, Lyle Ungar
Abstract Personality plays a decisive role in how people behave in different scenarios, including online social media. Researchers have used such data to study how personality can be predicted from language use. In this paper, we study phrase choice as a particular stylistic linguistic difference, as opposed to the mostly topical differences identified previously. Building on previous work on demographic preferences, we quantify differences in paraphrase choice from a massive Facebook data set with posts from over 115,000 users. We quantify the predictive power of phrase choice in user profiling and use phrase choice to study psycholinguistic hypotheses. This work is relevant to future applications that aim to personalize text generation to specific personality types.
Tasks Machine Translation, Recommendation Systems, Sentiment Analysis, Text Classification, Text Generation
Published 2017-08-01
URL https://www.aclweb.org/anthology/W17-2903/
PDF https://www.aclweb.org/anthology/W17-2903
PWC https://paperswithcode.com/paper/personality-driven-differences-in-paraphrase
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GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques

Title GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques
Authors Tobias Falke, Iryna Gurevych
Abstract Graphs have long been proposed as a tool to browse and navigate in a collection of documents in order to support exploratory search. Many techniques to automatically extract different types of graphs, showing for example entities or concepts and different relationships between them, have been suggested. While experimental evidence that they are indeed helpful exists for some of them, it is largely unknown which type of graph is most helpful for a specific exploratory task. However, carrying out experimental comparisons with human subjects is challenging and time-consuming. Towards this end, we present the \textit{GraphDocExplore} framework. It provides an intuitive web interface for graph-based document exploration that is optimized for experimental user studies. Through a generic graph interface, different methods to extract graphs from text can be plugged into the system. Hence, they can be compared at minimal implementation effort in an environment that ensures controlled comparisons. The system is publicly available under an open-source license.
Tasks
Published 2017-09-01
URL https://www.aclweb.org/anthology/D17-2004/
PDF https://www.aclweb.org/anthology/D17-2004
PWC https://paperswithcode.com/paper/graphdocexplore-a-framework-for-the
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Encyclolink: A Cross-Encyclopedia,Cross-language Article-Linking System and Web-based Search Interface

Title Encyclolink: A Cross-Encyclopedia,Cross-language Article-Linking System and Web-based Search Interface
Authors Yu-Chun Wang, Ka Ming Wong, Chun-Kai Wu, Chao-Lin Pan, Richard Tzong-Han Tsai
Abstract Cross-language article linking (CLAL) is the task of finding corresponding article pairs across encyclopedias of different languages. In this paper, we present Encyclolink, a web-based CLAL search interface designed to help users find equivalent encyclopedia articles in Baidu Baike for a given English Wikipedia article title query. Encyclolink is powered by our cross-encyclopedia entity embedding CLAL system (0.8 MRR). The browser-based Interface provides users with a clear and easily readable preview of the contents of retrieved articles for comparison.
Tasks Information Retrieval
Published 2017-11-01
URL https://www.aclweb.org/anthology/I17-3004/
PDF https://www.aclweb.org/anthology/I17-3004
PWC https://paperswithcode.com/paper/encyclolink-a-cross-encyclopediacross
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A Hybrid Model for Quality Assessment of Wikipedia Articles

Title A Hybrid Model for Quality Assessment of Wikipedia Articles
Authors Aili Shen, Jianzhong Qi, Timothy Baldwin
Abstract
Tasks
Published 2017-12-01
URL https://www.aclweb.org/anthology/U17-1005/
PDF https://www.aclweb.org/anthology/U17-1005
PWC https://paperswithcode.com/paper/a-hybrid-model-for-quality-assessment-of
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