Paper Group NANR 27
Visualizing the ``Dictionary of Regionalisms of France’’ (DRF). BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification. Evaluation of Dictionary Creating Methods for Finno-Ugric Minority Languages. Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus. An Annotation L …
Visualizing the ``Dictionary of Regionalisms of France’’ (DRF)
| Title | Visualizing the ``Dictionary of Regionalisms of France’’ (DRF) | |
| Authors | Ada Wan |
| Abstract | |
| Tasks | |
| Published | 2018-05-01 |
| URL | https://www.aclweb.org/anthology/L18-1578/ |
| https://www.aclweb.org/anthology/L18-1578 | |
| PWC | https://paperswithcode.com/paper/visualizing-the-dictionary-of-regionalisms-of |
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BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification
| Title | BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification |
| Authors | Vachagan Gratian, Marina Haid |
| Abstract | We present \textit{BrainT}, a multi-class, averaged perceptron tested on implicit emotion prediction of tweets. We show that the dataset is linearly separable and explore ways in fine-tuning the baseline classifier. Our results indicate that the bag-of-words features benefit the model moderately and prediction can be improved with bigrams, trigrams, \textit{skip-one}-tetragrams and POS-tags. Furthermore, we find preprocessing of the n-grams, including stemming, lowercasing, stopword filtering, emoji and emoticon conversion generally not useful. The model is trained on an annotated corpus of 153,383 tweets and predictions on the test data were submitted to the WASSA-2018 Implicit Emotion Shared Task. BrainT attained a Macro F-score of 0.63. |
| Tasks | Emotion Classification, Emotion Recognition, Sentiment Analysis |
| Published | 2018-10-01 |
| URL | https://www.aclweb.org/anthology/W18-6235/ |
| https://www.aclweb.org/anthology/W18-6235 | |
| PWC | https://paperswithcode.com/paper/braint-at-iest-2018-fine-tuning-multiclass |
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Evaluation of Dictionary Creating Methods for Finno-Ugric Minority Languages
| Title | Evaluation of Dictionary Creating Methods for Finno-Ugric Minority Languages |
| Authors | Zsanett Ferenczi, Iv{'a}n Mittelholcz, Eszter Simon, Tam{'a}s V{'a}radi |
| Abstract | |
| Tasks | Word Embeddings |
| Published | 2018-05-01 |
| URL | https://www.aclweb.org/anthology/L18-1313/ |
| https://www.aclweb.org/anthology/L18-1313 | |
| PWC | https://paperswithcode.com/paper/evaluation-of-dictionary-creating-methods-for |
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Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus
| Title | Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus |
| Authors | Shabnam Tafreshi, Mona Diab |
| Abstract | |
| Tasks | Emotion Classification, Emotion Recognition |
| Published | 2018-05-01 |
| URL | https://www.aclweb.org/anthology/L18-1199/ |
| https://www.aclweb.org/anthology/L18-1199 | |
| PWC | https://paperswithcode.com/paper/sentence-and-clause-level-emotion-annotation |
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An Annotation Language for Semantic Search of Legal Sources
| Title | An Annotation Language for Semantic Search of Legal Sources |
| Authors | Adeline Nazarenko, Fran{\c{c}}ois Levy, Adam Wyner |
| Abstract | |
| Tasks | |
| Published | 2018-05-01 |
| URL | https://www.aclweb.org/anthology/L18-1177/ |
| https://www.aclweb.org/anthology/L18-1177 | |
| PWC | https://paperswithcode.com/paper/an-annotation-language-for-semantic-search-of |
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GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
| Title | GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition |
| Authors | Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao |
| Abstract | 3D shape recognition has attracted much attention recently. Its recent advances advocate the usage of deep features and achieve the state-of-the-art performance. However, existing deep features for 3D shape recognition are restricted to a view-to-shape setting, which learns the shape descriptor from the view-level feature directly. Despite the exciting progress on view-based 3D shape description, the intrinsic hierarchical correlation and discriminability among views have not been well exploited, which is important for 3D shape representation. To tackle this issue, in this paper, we propose a group-view convolutional neural network (GVCNN) framework for hierarchical correlation modeling towards discriminative 3D shape description. The proposed GVCNN framework is composed of a hierarchical view-group-shape architecture, i.e., from the view level, the group level and the shape level, which are organized using a grouping strategy. Concretely, we first use an expanded CNN to extract a view level descriptor. Then, a grouping module is introduced to estimate the content discrimination of each view, based on which all views can be splitted into different groups according to their discriminative level. A group level description can be further generated by pooling from view descriptors. Finally, all group level descriptors are combined into the shape level descriptor according to their discriminative weights. Experimental results and comparison with state-of-the-art methods show that our proposed GVCNN method can achieve a significant performance gain on both the 3D shape classification and retrieval tasks. |
| Tasks | 3D Shape Recognition, 3D Shape Representation |
| Published | 2018-06-01 |
| URL | http://openaccess.thecvf.com/content_cvpr_2018/html/Feng_GVCNN_Group-View_Convolutional_CVPR_2018_paper.html |
| http://openaccess.thecvf.com/content_cvpr_2018/papers/Feng_GVCNN_Group-View_Convolutional_CVPR_2018_paper.pdf | |
| PWC | https://paperswithcode.com/paper/gvcnn-group-view-convolutional-neural |
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New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
| Title | New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity |
| Authors | Pan Zhou, Xiaotong Yuan, Jiashi Feng |
| Abstract | As an incremental-gradient algorithm, the hybrid stochastic gradient descent (HSGD) enjoys merits of both stochastic and full gradient methods for finite-sum minimization problem. However, the existing rate-of-convergence analysis for HSGD is made under with-replacement sampling (WRS) and is restricted to convex problems. It is not clear whether HSGD still carries these advantages under the common practice of without-replacement sampling (WoRS) for non-convex problems. In this paper, we affirmatively answer this open question by showing that under WoRS and for both convex and non-convex problems, it is still possible for HSGD (with constant step-size) to match full gradient descent in rate of convergence, while maintaining comparable sample-size-independent incremental first-order oracle complexity to stochastic gradient descent. For a special class of finite-sum problems with linear prediction models, our convergence results can be further improved in some cases. Extensive numerical results confirm our theoretical affirmation and demonstrate the favorable efficiency of WoRS-based HSGD. |
| Tasks | |
| Published | 2018-12-01 |
| URL | http://papers.nips.cc/paper/7399-new-insight-into-hybrid-stochastic-gradient-descent-beyond-with-replacement-sampling-and-convexity |
| http://papers.nips.cc/paper/7399-new-insight-into-hybrid-stochastic-gradient-descent-beyond-with-replacement-sampling-and-convexity.pdf | |
| PWC | https://paperswithcode.com/paper/new-insight-into-hybrid-stochastic-gradient |
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Aye' or No’? Speech-level Sentiment Analysis of Hansard UK Parliamentary Debate Transcripts
| Title | Aye' or No’? Speech-level Sentiment Analysis of Hansard UK Parliamentary Debate Transcripts |
| Authors | Gavin Abercrombie, Riza Batista-Navarro |
| Abstract | |
| Tasks | Opinion Mining, Sentiment Analysis |
| Published | 2018-05-01 |
| URL | https://www.aclweb.org/anthology/L18-1659/ |
| https://www.aclweb.org/anthology/L18-1659 | |
| PWC | https://paperswithcode.com/paper/aye-or-no-speech-level-sentiment-analysis-of |
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Statistical NLG for Generating the Content and Form of Referring Expressions
| Title | Statistical NLG for Generating the Content and Form of Referring Expressions |
| Authors | Xiao Li, Kees van Deemter, Chenghua Lin |
| Abstract | This paper argues that a new generic approach to statistical NLG can be made to perform Referring Expression Generation (REG) successfully. The model does not only select attributes and values for referring to a target referent, but also performs Linguistic Realisation, generating an actual Noun Phrase. Our evaluations suggest that the attribute selection aspect of the algorithm exceeds classic REG algorithms, while the Noun Phrases generated are as similar to those in a previously developed corpus as were Noun Phrases produced by a new set of human speakers. |
| Tasks | Text Generation |
| Published | 2018-11-01 |
| URL | https://www.aclweb.org/anthology/W18-6561/ |
| https://www.aclweb.org/anthology/W18-6561 | |
| PWC | https://paperswithcode.com/paper/statistical-nlg-for-generating-the-content |
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Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville)
| Title | Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville) |
| Authors | Annie Rialland, Martine Adda-Decker, Guy-Noël Kouarata, Gilles Adda, Laurent Besacier, Lori Lamel, Elodie Gauthier, Pierre Godard, Jamison Cooper-Leavitt |
| Abstract | |
| Tasks | Machine Translation, Speech Recognition |
| Published | 2018-05-01 |
| URL | https://www.aclweb.org/anthology/papers/L18-1674/l18-1674 |
| https://www.aclweb.org/anthology/L18-1674 | |
| PWC | https://paperswithcode.com/paper/parallel-corpora-in-mboshi-bantu-c25-congo |
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KU-CST at CoNLL–SIGMORPHON 2018 Shared Task: a Tridirectional Model
| Title | KU-CST at CoNLL–SIGMORPHON 2018 Shared Task: a Tridirectional Model |
| Authors | Manex Agirrezabal |
| Abstract | |
| Tasks | Morphological Analysis, Morphological Inflection, Named Entity Recognition, Sentiment Analysis |
| Published | 2018-10-01 |
| URL | https://www.aclweb.org/anthology/K18-3002/ |
| https://www.aclweb.org/anthology/K18-3002 | |
| PWC | https://paperswithcode.com/paper/ku-cst-at-conllasigmorphon-2018-shared-task-a |
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DeModify: A Dataset for Analyzing Contextual Constraints on Modifier Deletion
| Title | DeModify: A Dataset for Analyzing Contextual Constraints on Modifier Deletion |
| Authors | Vivi Nastase, Devon Fritz, Anette Frank |
| Abstract | |
| Tasks | Language Modelling, Natural Language Inference, Text Simplification |
| Published | 2018-05-01 |
| URL | https://www.aclweb.org/anthology/L18-1217/ |
| https://www.aclweb.org/anthology/L18-1217 | |
| PWC | https://paperswithcode.com/paper/demodify-a-dataset-for-analyzing-contextual |
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Modelling Pro-drop with the Rational Speech Acts Model
| Title | Modelling Pro-drop with the Rational Speech Acts Model |
| Authors | Guanyi Chen, Kees van Deemter, Chenghua Lin |
| Abstract | We extend the classic Referring Expressions Generation task by considering zero pronouns in {``}pro-drop{''} languages such as Chinese, modelling their use by means of the Bayesian Rational Speech Acts model (Frank and Goodman, 2012). By assuming that highly salient referents are most likely to be referred to by zero pronouns (i.e., pro-drop is more likely for salient referents than the less salient ones), the model offers an attractive explanation of a phenomenon not previously addressed probabilistically. | |
| Tasks | Coreference Resolution, Machine Translation, Text Generation |
| Published | 2018-11-01 |
| URL | https://www.aclweb.org/anthology/W18-6519/ |
| https://www.aclweb.org/anthology/W18-6519 | |
| PWC | https://paperswithcode.com/paper/modelling-pro-drop-with-the-rational-speech |
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Multimodal Differential Network for Visual Question Generation
| Title | Multimodal Differential Network for Visual Question Generation |
| Authors | Badri Narayana Patro, S Kumar, eep, Vinod Kumar Kurmi, Vinay Namboodiri |
| Abstract | Generating natural questions from an image is a semantic task that requires using visual and language modality to learn multimodal representations. Images can have multiple visual and language contexts that are relevant for generating questions namely places, captions, and tags. In this paper, we propose the use of exemplars for obtaining the relevant context. We obtain this by using a Multimodal Differential Network to produce natural and engaging questions. The generated questions show a remarkable similarity to the natural questions as validated by a human study. Further, we observe that the proposed approach substantially improves over state-of-the-art benchmarks on the quantitative metrics (BLEU, METEOR, ROUGE, and CIDEr). |
| Tasks | Image Captioning, Object Classification, Question Answering, Question Generation, Visual Question Answering |
| Published | 2018-10-01 |
| URL | https://www.aclweb.org/anthology/D18-1434/ |
| https://www.aclweb.org/anthology/D18-1434 | |
| PWC | https://paperswithcode.com/paper/multimodal-differential-network-for-visual-1 |
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FrNewsLink : a corpus linking TV Broadcast News Segments and Press Articles
| Title | FrNewsLink : a corpus linking TV Broadcast News Segments and Press Articles |
| Authors | Nathalie Camelin, G{'e}raldine Damnati, Abdessalam Bouchekif, L, Anais eau, Delphine Charlet, Yannick Est{`e}ve |
| Abstract | |
| Tasks | Question Similarity, Semantic Textual Similarity |
| Published | 2018-05-01 |
| URL | https://www.aclweb.org/anthology/L18-1329/ |
| https://www.aclweb.org/anthology/L18-1329 | |
| PWC | https://paperswithcode.com/paper/frnewslink-a-corpus-linking-tv-broadcast-news |
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