Paper Group NANR 166
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation. A Neural Network based Approach to Automatic Post-Editing. Learning Sparse Gaussian Graphical Models with Overlapping …
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
| Title | Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
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| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1000/ |
| https://www.aclweb.org/anthology/N16-1000 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-2016-conference-of-the |
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Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation
| Title | Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation |
| Authors | Akiva Miura, Graham Neubig, Michael Paul, Satoshi Nakamura |
| Abstract | |
| Tasks | Active Learning, Machine Translation |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1003/ |
| https://www.aclweb.org/anthology/N16-1003 | |
| PWC | https://paperswithcode.com/paper/selecting-syntactic-non-redundant-segments-in |
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A Neural Network based Approach to Automatic Post-Editing
| Title | A Neural Network based Approach to Automatic Post-Editing |
| Authors | Santanu Pal, Sudip Kumar Naskar, Mihaela Vela, Josef van Genabith |
| Abstract | |
| Tasks | Automatic Post-Editing, Machine Translation |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-2046/ |
| https://www.aclweb.org/anthology/P16-2046 | |
| PWC | https://paperswithcode.com/paper/a-neural-network-based-approach-to-automatic |
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Learning Sparse Gaussian Graphical Models with Overlapping Blocks
| Title | Learning Sparse Gaussian Graphical Models with Overlapping Blocks |
| Authors | Mohammad Javad Hosseini, Su-In Lee |
| Abstract | We present a novel framework, called GRAB (GRaphical models with overlApping Blocks), to capture densely connected components in a network estimate. GRAB takes as input a data matrix of p variables and n samples, and jointly learns both a network among p variables and densely connected groups of variables (called `blocks’). GRAB has four major novelties as compared to existing network estimation methods: 1) It does not require the blocks to be given a priori. 2) Blocks can overlap. 3) It can jointly learn a network structure and overlapping blocks. 4) It solves a joint optimization problem with the block coordinate descent method that is convex in each step. We show that GRAB reveals the underlying network structure substantially better than four state-of-the-art competitors on synthetic data. When applied to cancer gene expression data, GRAB outperforms its competitors in revealing known functional gene sets and potentially novel genes that drive cancer. | |
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| Published | 2016-12-01 |
| URL | http://papers.nips.cc/paper/6097-learning-sparse-gaussian-graphical-models-with-overlapping-blocks |
| http://papers.nips.cc/paper/6097-learning-sparse-gaussian-graphical-models-with-overlapping-blocks.pdf | |
| PWC | https://paperswithcode.com/paper/learning-sparse-gaussian-graphical-models |
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Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation
| Title | Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation |
| Authors | Jan-Thorsten Peter, Weiyue Wang, Hermann Ney |
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| Tasks | Language Modelling, Machine Translation, Speech Recognition |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-2048/ |
| https://www.aclweb.org/anthology/P16-2048 | |
| PWC | https://paperswithcode.com/paper/exponentially-decaying-bag-of-words-input |
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WMT 2016 Multimodal Translation System Description based on Bidirectional Recurrent Neural Networks with Double-Embeddings
| Title | WMT 2016 Multimodal Translation System Description based on Bidirectional Recurrent Neural Networks with Double-Embeddings |
| Authors | Sergio Rodr{'\i}guez Guasch, Marta R. Costa-juss{`a} |
| Abstract | |
| Tasks | Image Captioning, Language Modelling, Machine Translation, Multimodal Machine Translation |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2362/ |
| https://www.aclweb.org/anthology/W16-2362 | |
| PWC | https://paperswithcode.com/paper/wmt-2016-multimodal-translation-system |
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A Classification-based Approach to Economic Event Detection in Dutch News Text
| Title | A Classification-based Approach to Economic Event Detection in Dutch News Text |
| Authors | Els Lefever, V{'e}ronique Hoste |
| Abstract | Breaking news on economic events such as stock splits or mergers and acquisitions has been shown to have a substantial impact on the financial markets. As it is important to be able to automatically identify events in news items accurately and in a timely manner, we present in this paper proof-of-concept experiments for a supervised machine learning approach to economic event detection in newswire text. For this purpose, we created a corpus of Dutch financial news articles in which 10 types of company-specific economic events were annotated. We trained classifiers using various lexical, syntactic and semantic features. We obtain good results based on a basic set of shallow features, thus showing that this method is a viable approach for economic event detection in news text. |
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| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1051/ |
| https://www.aclweb.org/anthology/L16-1051 | |
| PWC | https://paperswithcode.com/paper/a-classification-based-approach-to-economic |
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MoBiL: A Hybrid Feature Set for Automatic Human Translation Quality Assessment
| Title | MoBiL: A Hybrid Feature Set for Automatic Human Translation Quality Assessment |
| Authors | Yu Yuan, Serge Sharoff, Bogdan Babych |
| Abstract | In this paper we introduce MoBiL, a hybrid Monolingual, Bilingual and Language modelling feature set and feature selection and evaluation framework. The set includes translation quality indicators that can be utilized to automatically predict the quality of human translations in terms of content adequacy and language fluency. We compare MoBiL with the QuEst baseline set by using them in classifiers trained with support vector machine and relevance vector machine learning algorithms on the same data set. We also report an experiment on feature selection to opt for fewer but more informative features from MoBiL. Our experiments show that classifiers trained on our feature set perform consistently better in predicting both adequacy and fluency than the classifiers trained on the baseline feature set. MoBiL also performs well when used with both support vector machine and relevance vector machine algorithms. |
| Tasks | Feature Selection, Language Modelling |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1581/ |
| https://www.aclweb.org/anthology/L16-1581 | |
| PWC | https://paperswithcode.com/paper/mobil-a-hybrid-feature-set-for-automatic |
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Detecting ``Smart’’ Spammers on Social Network: A Topic Model Approach
| Title | Detecting ``Smart’’ Spammers on Social Network: A Topic Model Approach | |
| Authors | Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu |
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| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-2007/ |
| https://www.aclweb.org/anthology/N16-2007 | |
| PWC | https://paperswithcode.com/paper/detecting-smart-spammers-on-social-network-a-1 |
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LVF-lemon ― Towards a Linked Data Representation of ``Les Verbes fran\ccais’’
| Title | LVF-lemon ― Towards a Linked Data Representation of ``Les Verbes fran\ccais’’ | |
| Authors | Ingrid Falk, Achim Stein |
| Abstract | In this study we elaborate a road map for the conversion of a traditional lexical syntactico-semantic resource for French into a linguistic linked open data (LLOD) model. Our approach uses current best-practices and the analyses of earlier similar undertakings (lemonUBY and PDEV-lemon) to tease out the most appropriate representation for our resource. |
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| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1380/ |
| https://www.aclweb.org/anthology/L16-1380 | |
| PWC | https://paperswithcode.com/paper/lvf-lemon-a-towards-a-linked-data |
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IBC-C: A Dataset for Armed Conflict Analysis
| Title | IBC-C: A Dataset for Armed Conflict Analysis |
| Authors | Andrej {\v{Z}}ukov-Gregori{\v{c}}, Zhiyuan Luo, Bartal Veyhe |
| Abstract | |
| Tasks | Named Entity Recognition, Slot Filling |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-2061/ |
| https://www.aclweb.org/anthology/P16-2061 | |
| PWC | https://paperswithcode.com/paper/ibc-c-a-dataset-for-armed-conflict-analysis |
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Word Embeddings with Limited Memory
| Title | Word Embeddings with Limited Memory |
| Authors | Shaoshi Ling, Yangqiu Song, Dan Roth |
| Abstract | |
| Tasks | Dependency Parsing, Word Embeddings |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-2063/ |
| https://www.aclweb.org/anthology/P16-2063 | |
| PWC | https://paperswithcode.com/paper/word-embeddings-with-limited-memory |
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The GW/UMD CLPsych 2016 Shared Task System
| Title | The GW/UMD CLPsych 2016 Shared Task System |
| Authors | Ayah Zirikly, Varun Kumar, Philip Resnik |
| Abstract | |
| Tasks | Lemmatization, Tokenization |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-0321/ |
| https://www.aclweb.org/anthology/W16-0321 | |
| PWC | https://paperswithcode.com/paper/the-gwumd-clpsych-2016-shared-task-system |
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Controlling Politeness in Neural Machine Translation via Side Constraints
| Title | Controlling Politeness in Neural Machine Translation via Side Constraints |
| Authors | Rico Sennrich, Barry Haddow, Alex Birch, ra |
| Abstract | |
| Tasks | Machine Translation |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1005/ |
| https://www.aclweb.org/anthology/N16-1005 | |
| PWC | https://paperswithcode.com/paper/controlling-politeness-in-neural-machine |
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Integer Linear Programming for Discourse Parsing
| Title | Integer Linear Programming for Discourse Parsing |
| Authors | J{'e}r{'e}my Perret, Stergos Afantenos, Nicholas Asher, Mathieu Morey |
| Abstract | |
| Tasks | Dependency Parsing |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1013/ |
| https://www.aclweb.org/anthology/N16-1013 | |
| PWC | https://paperswithcode.com/paper/integer-linear-programming-for-discourse |
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