Paper Group NANR 108
Ordering of Adverbials of Time and Place in Grammars and in an Annotated English-Czech Parallel Corpus. Creating, Enriching and Valorizing Treebanks of Ancient Greek. Improving Surface-syntactic Universal Dependencies (SUD): MWEs and deep syntactic features. Universal Dependencies in a galaxy far, far away… What makes Yoda’s English truly alien. …
Ordering of Adverbials of Time and Place in Grammars and in an Annotated English-Czech Parallel Corpus
| Title | Ordering of Adverbials of Time and Place in Grammars and in an Annotated English-Czech Parallel Corpus |
| Authors | Eva Haji{\v{c}}ov{'a}, Ji{\v{r}}{'\i} M{'\i}rovsk{'y}, Kate{\v{r}}ina Rysov{'a} |
| Abstract | |
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| Published | 2019-08-01 |
| URL | https://www.aclweb.org/anthology/W19-7806/ |
| https://www.aclweb.org/anthology/W19-7806 | |
| PWC | https://paperswithcode.com/paper/ordering-of-adverbials-of-time-and-place-in |
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Creating, Enriching and Valorizing Treebanks of Ancient Greek
| Title | Creating, Enriching and Valorizing Treebanks of Ancient Greek |
| Authors | Alek Keersmaekers, Wouter Mercelis, Colin Swaelens, Toon Van Hal |
| Abstract | |
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| Published | 2019-08-01 |
| URL | https://www.aclweb.org/anthology/W19-7812/ |
| https://www.aclweb.org/anthology/W19-7812 | |
| PWC | https://paperswithcode.com/paper/creating-enriching-and-valorizing-treebanks |
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Improving Surface-syntactic Universal Dependencies (SUD): MWEs and deep syntactic features
| Title | Improving Surface-syntactic Universal Dependencies (SUD): MWEs and deep syntactic features |
| Authors | Kim Gerdes, Bruno Guillaume, Sylvain Kahane, Guy Perrier |
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| Published | 2019-08-01 |
| URL | https://www.aclweb.org/anthology/W19-7814/ |
| https://www.aclweb.org/anthology/W19-7814 | |
| PWC | https://paperswithcode.com/paper/improving-surface-syntactic-universal |
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Universal Dependencies in a galaxy far, far away… What makes Yoda’s English truly alien
| Title | Universal Dependencies in a galaxy far, far away… What makes Yoda’s English truly alien |
| Authors | Natalia Levshina |
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| Published | 2019-08-01 |
| URL | https://www.aclweb.org/anthology/W19-8005/ |
| https://www.aclweb.org/anthology/W19-8005 | |
| PWC | https://paperswithcode.com/paper/universal-dependencies-in-a-galaxy-far-far |
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Full valency and the position of enclitics in the Old Czech
| Title | Full valency and the position of enclitics in the Old Czech |
| Authors | Radek Cech, Pavel Kosek, Olga Navratilova, Jan Macutek |
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| Published | 2019-08-01 |
| URL | https://www.aclweb.org/anthology/W19-7910/ |
| https://www.aclweb.org/anthology/W19-7910 | |
| PWC | https://paperswithcode.com/paper/full-valency-and-the-position-of-enclitics-in |
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Improving the Annotations in the Turkish Universal Dependency Treebank
| Title | Improving the Annotations in the Turkish Universal Dependency Treebank |
| Authors | Utku T{"u}rk, Furkan Atmaca, {\c{S}}aziye Bet{"u}l {"O}zate{\c{s}}, Balk{\i}z {"O}zt{"u}rk Ba{\c{s}}aran, Tunga G{"u}ng{"o}r, Arzucan {"O}zg{"u}r |
| Abstract | |
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| Published | 2019-08-01 |
| URL | https://www.aclweb.org/anthology/W19-8013/ |
| https://www.aclweb.org/anthology/W19-8013 | |
| PWC | https://paperswithcode.com/paper/improving-the-annotations-in-the-turkish |
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Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing
| Title | Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing |
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| Published | 2019-09-01 |
| URL | https://www.aclweb.org/anthology/W19-3100/ |
| https://www.aclweb.org/anthology/W19-3100 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-14th-international-2 |
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Information Entropy Based Feature Pooling for Convolutional Neural Networks
| Title | Information Entropy Based Feature Pooling for Convolutional Neural Networks |
| Authors | Weitao Wan, Jiansheng Chen, Tianpeng Li, Yiqing Huang, Jingqi Tian, Cheng Yu, Youze Xue |
| Abstract | In convolutional neural networks (CNNs), we propose to estimate the importance of a feature vector at a spatial location in the feature maps by the network’s uncertainty on its class prediction, which can be quantified using the information entropy. Based on this idea, we propose the entropy-based feature weighting method for semantics-aware feature pooling which can be readily integrated into various CNN architectures for both training and inference. We demonstrate that such a location-adaptive feature weighting mechanism helps the network to concentrate on semantically important image regions, leading to improvements in the large-scale classification and weakly-supervised semantic segmentation tasks. Furthermore, the generated feature weights can be utilized in visual tasks such as weakly-supervised object localization. We conduct extensive experiments on different datasets and CNN architectures, outperforming recently proposed pooling methods and attention mechanisms in ImageNet classification as well as achieving state-of-the-arts in weakly-supervised semantic segmentation on PASCAL VOC 2012 dataset. |
| Tasks | Object Localization, Semantic Segmentation, Weakly-Supervised Object Localization, Weakly-Supervised Semantic Segmentation |
| Published | 2019-10-01 |
| URL | http://openaccess.thecvf.com/content_ICCV_2019/html/Wan_Information_Entropy_Based_Feature_Pooling_for_Convolutional_Neural_Networks_ICCV_2019_paper.html |
| http://openaccess.thecvf.com/content_ICCV_2019/papers/Wan_Information_Entropy_Based_Feature_Pooling_for_Convolutional_Neural_Networks_ICCV_2019_paper.pdf | |
| PWC | https://paperswithcode.com/paper/information-entropy-based-feature-pooling-for |
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Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019)
| Title | Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019) |
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| Abstract | |
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| Published | 2019-08-01 |
| URL | https://www.aclweb.org/anthology/W19-5100/ |
| https://www.aclweb.org/anthology/W19-5100 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-joint-workshop-on-5 |
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Attention Bridging Network for Knowledge Transfer
| Title | Attention Bridging Network for Knowledge Transfer |
| Authors | Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu |
| Abstract | The attention of a deep neural network obtained by back-propagating gradients can effectively explain the decision of the network. They can further be used to explicitly access to the network response to a specific pattern. Considering objects of the same category but from different domains share similar visual patterns, we propose to treat the network attention as a bridge to connect objects across domains. In this paper, we use knowledge from the source domain to guide the network’s response to categories shared with the target domain. With weights sharing and domain adversary training, this knowledge can be successfully transferred by regularizing the network’s response to the same category in the target domain. Specifically, we transfer the foreground prior from a simple single-label dataset to another complex multi-label dataset, leading to improvement of attention maps. Experiments about the weakly-supervised semantic segmentation task show the effectiveness of our method. Besides, we further explore and validate that the proposed method is able to improve the generalization ability of a classification network in domain adaptation and domain generalization settings. |
| Tasks | Domain Adaptation, Domain Generalization, Semantic Segmentation, Transfer Learning, Weakly-Supervised Semantic Segmentation |
| Published | 2019-10-01 |
| URL | http://openaccess.thecvf.com/content_ICCV_2019/html/Li_Attention_Bridging_Network_for_Knowledge_Transfer_ICCV_2019_paper.html |
| http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Attention_Bridging_Network_for_Knowledge_Transfer_ICCV_2019_paper.pdf | |
| PWC | https://paperswithcode.com/paper/attention-bridging-network-for-knowledge |
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Polynomial Cost of Adaptation for X-Armed Bandits
| Title | Polynomial Cost of Adaptation for X-Armed Bandits |
| Authors | Hedi Hadiji |
| Abstract | In the context of stochastic continuum-armed bandits, we present an algorithm that adapts to the unknown smoothness of the objective function. We exhibit and compute a polynomial cost of adaptation to the Hölder regularity for regret minimization. To do this, we first reconsider the recent lower bound of Locatelli and Carpentier, 2018, and define and characterize admissible rate functions. Our new algorithm matches any of these minimal rate functions. We provide a finite-time analysis and a thorough discussion about asymptotic optimality. |
| Tasks | |
| Published | 2019-12-01 |
| URL | http://papers.nips.cc/paper/8388-polynomial-cost-of-adaptation-for-x-armed-bandits |
| http://papers.nips.cc/paper/8388-polynomial-cost-of-adaptation-for-x-armed-bandits.pdf | |
| PWC | https://paperswithcode.com/paper/polynomial-cost-of-adaptation-for-x-armed-1 |
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An Online Annotation Assistant for Argument Schemes
| Title | An Online Annotation Assistant for Argument Schemes |
| Authors | John Lawrence, Jacky Visser, Chris Reed |
| Abstract | Understanding the inferential principles underpinning an argument is essential to the proper interpretation and evaluation of persuasive discourse. Argument schemes capture the conventional patterns of reasoning appealed to in persuasion. The empirical study of these patterns relies on the availability of data about the actual use of argumentation in communicative practice. Annotated corpora of argument schemes, however, are scarce, small, and unrepresentative. Aiming to address this issue, we present one step in the development of improved datasets by integrating the Argument Scheme Key {–} a novel annotation method based on one of the most popular typologies of argument schemes {–} into the widely used OVA software for argument analysis. |
| Tasks | |
| Published | 2019-08-01 |
| URL | https://www.aclweb.org/anthology/W19-4012/ |
| https://www.aclweb.org/anthology/W19-4012 | |
| PWC | https://paperswithcode.com/paper/an-online-annotation-assistant-for-argument |
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Generating Realistic Stock Market Order Streams
| Title | Generating Realistic Stock Market Order Streams |
| Authors | Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman |
| Abstract | We propose an approach to generate realistic and high-fidelity stock market data based on generative adversarial networks. We model the order stream as a stochastic process with finite history dependence, and employ a conditional Wasserstein GAN to capture history dependence of orders in a stock market. We test our approach with actual market and synthetic data on a number of different statistics, and find the generated data to be close to real data. |
| Tasks | |
| Published | 2019-05-01 |
| URL | https://openreview.net/forum?id=rke41hC5Km |
| https://openreview.net/pdf?id=rke41hC5Km | |
| PWC | https://paperswithcode.com/paper/generating-realistic-stock-market-order |
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Supervised Morphological Segmentation Using Rich Annotated Lexicon
| Title | Supervised Morphological Segmentation Using Rich Annotated Lexicon |
| Authors | Ebrahim Ansari, Zden{\v{e}}k {\v{Z}}abokrtsk{'y}, Mohammad Mahmoudi, Hamid Haghdoost, Jon{'a}{\v{s}} Vidra |
| Abstract | Morphological segmentation of words is the process of dividing a word into smaller units called morphemes; it is tricky especially when a morphologically rich or polysynthetic language is under question. In this work, we designed and evaluated several Recurrent Neural Network (RNN) based models as well as various other machine learning based approaches for the morphological segmentation task. We trained our models using annotated segmentation lexicons. To evaluate the effect of the training data size on our models, we decided to create a large hand-annotated morphologically segmented corpus of Persian words, which is, to the best of our knowledge, the first and the only segmentation lexicon for the Persian language. In the experimental phase, using the hand-annotated Persian lexicon and two smaller similar lexicons for Czech and Finnish languages, we evaluated the effect of the training data size, different hyper-parameters settings as well as different RNN-based models. |
| Tasks | |
| Published | 2019-09-01 |
| URL | https://www.aclweb.org/anthology/R19-1007/ |
| https://www.aclweb.org/anthology/R19-1007 | |
| PWC | https://paperswithcode.com/paper/supervised-morphological-segmentation-using |
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Towards Functionally Similar Corpus Resources for Translation
| Title | Towards Functionally Similar Corpus Resources for Translation |
| Authors | Maria Kunilovskaya, Serge Sharoff |
| Abstract | The paper describes a computational approach to produce functionally comparable monolingual corpus resources for translation studies and contrastive analysis. We exploit a text-external approach, based on a set of Functional Text Dimensions to model text functions, so that each text can be represented as a vector in a multidimensional space of text functions. These vectors can be used to find reasonably homogeneous subsets of functionally similar texts across different corpora. Our models for predicting text functions are based on recurrent neural networks and traditional feature-based machine learning approaches. In addition to using the categories of the British National Corpus as our test case, we investigated the functional comparability of the English parts from the two parallel corpora: CroCo (English-German) and RusLTC (English-Russian) and applied our models to define functionally similar clusters in them. Our results show that the Functional Text Dimensions provide a useful description for text categories, while allowing a more flexible representation for texts with hybrid functions. |
| Tasks | |
| Published | 2019-09-01 |
| URL | https://www.aclweb.org/anthology/R19-1069/ |
| https://www.aclweb.org/anthology/R19-1069 | |
| PWC | https://paperswithcode.com/paper/towards-functionally-similar-corpus-resources |
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