Paper Group NANR 85
Image Authentication Using Local Binary Pattern on the Low Frequency Components. Chinese Zero Pronoun Resolution with Deep Neural Networks. Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization. Learning To Use Formulas To Solve Simple Arithmetic Problems. Hidden Softmax Sequence Model for Dialogue Struct …
Image Authentication Using Local Binary Pattern on the Low Frequency Components
| Title | Image Authentication Using Local Binary Pattern on the Low Frequency Components |
| Authors | S.B.G. Tilak Babu, Ch. Srinivasa Rao |
| Abstract | Detection of copy move forgery in images is helpful in legal evidence, in forensic investigation and many other fields. Many Copy Move Forgery Detection (CMFD) schemes are existing in the literature. However, most of them fail to withstand post-processing operations viz., JPEG Compression, noise contamination, rotation. Even if able to identify, they consumes much time to detect and locate. In this paper, a technique is proposed which uses Discrete Wavelet Transform (DWT) and Local Binary Pattern (LBP) to identify copy-move forgery. Features are extracted by using LBP on the LL band obtained by applying DWT on the input image. Proper selection of similarity and distance thresholds can localize the forged region correctly. |
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| Published | 2016-12-25 |
| URL | https://link.springer.com/chapter/10.1007/978-81-322-2728-1_49 |
| https://www.researchgate.net/publication/300114612_Image_Authentication_Using_Local_Binary_Pattern_on_the_Low_Frequency_Components | |
| PWC | https://paperswithcode.com/paper/image-authentication-using-local-binary |
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Chinese Zero Pronoun Resolution with Deep Neural Networks
| Title | Chinese Zero Pronoun Resolution with Deep Neural Networks |
| Authors | Chen Chen, Vincent Ng |
| Abstract | |
| Tasks | Chinese Zero Pronoun Resolution, Feature Engineering, Word Embeddings |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-1074/ |
| https://www.aclweb.org/anthology/P16-1074 | |
| PWC | https://paperswithcode.com/paper/chinese-zero-pronoun-resolution-with-deep-1 |
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Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
| Title | Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization |
| Authors | Lucie Flekova, Iryna Gurevych |
| Abstract | |
| Tasks | Dependency Parsing, Document Classification, Information Retrieval, Machine Translation, Named Entity Recognition, Question Answering, Question Generation, Semantic Role Labeling, Semantic Textual Similarity, Text Classification, Word Sense Disambiguation |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-1191/ |
| https://www.aclweb.org/anthology/P16-1191 | |
| PWC | https://paperswithcode.com/paper/supersense-embeddings-a-unified-model-for |
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Learning To Use Formulas To Solve Simple Arithmetic Problems
| Title | Learning To Use Formulas To Solve Simple Arithmetic Problems |
| Authors | Arindam Mitra, Chitta Baral |
| Abstract | |
| Tasks | Natural Language Inference, Semantic Textual Similarity |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-1202/ |
| https://www.aclweb.org/anthology/P16-1202 | |
| PWC | https://paperswithcode.com/paper/learning-to-use-formulas-to-solve-simple |
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Hidden Softmax Sequence Model for Dialogue Structure Analysis
| Title | Hidden Softmax Sequence Model for Dialogue Structure Analysis |
| Authors | Zhiyang He, Xien Liu, Ping Lv, Ji Wu |
| Abstract | |
| Tasks | Topic Models |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-1194/ |
| https://www.aclweb.org/anthology/P16-1194 | |
| PWC | https://paperswithcode.com/paper/hidden-softmax-sequence-model-for-dialogue |
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CNRC at SemEval-2016 Task 1: Experiments in Crosslingual Semantic Textual Similarity
| Title | CNRC at SemEval-2016 Task 1: Experiments in Crosslingual Semantic Textual Similarity |
| Authors | Chi-kiu Lo, Cyril Goutte, Michel Simard |
| Abstract | |
| Tasks | Machine Translation, Semantic Textual Similarity |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/S16-1102/ |
| https://www.aclweb.org/anthology/S16-1102 | |
| PWC | https://paperswithcode.com/paper/cnrc-at-semeval-2016-task-1-experiments-in |
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The ACL RD-TEC 2.0: A Language Resource for Evaluating Term Extraction and Entity Recognition Methods
| Title | The ACL RD-TEC 2.0: A Language Resource for Evaluating Term Extraction and Entity Recognition Methods |
| Authors | Behrang QasemiZadeh, Anne-Kathrin Schumann |
| Abstract | This paper introduces the ACL Reference Dataset for Terminology Extraction and Classification, version 2.0 (ACL RD-TEC 2.0). The ACL RD-TEC 2.0 has been developed with the aim of providing a benchmark for the evaluation of term and entity recognition tasks based on specialised text from the computational linguistics domain. This release of the corpus consists of 300 abstracts from articles in the ACL Anthology Reference Corpus, published between 1978{–}2006. In these abstracts, terms (i.e., single or multi-word lexical units with a specialised meaning) are manually annotated. In addition to their boundaries in running text, annotated terms are classified into one of the seven categories method, tool, language resource (LR), LR product, model, measures and measurements, and other. To assess the quality of the annotations and to determine the difficulty of this annotation task, more than 171 of the abstracts are annotated twice, independently, by each of the two annotators. In total, 6,818 terms are identified and annotated in more than 1300 sentences, resulting in a specialised vocabulary made of 3,318 lexical forms, mapped to 3,471 concepts. We explain the development of the annotation guidelines and discuss some of the challenges we encountered in this annotation task. |
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| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1294/ |
| https://www.aclweb.org/anthology/L16-1294 | |
| PWC | https://paperswithcode.com/paper/the-acl-rd-tec-20-a-language-resource-for |
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Sketch-to-Text Generation: Toward Contextual, Creative, and Coherent Composition
| Title | Sketch-to-Text Generation: Toward Contextual, Creative, and Coherent Composition |
| Authors | Yejin Choi |
| Abstract | |
| Tasks | Image Captioning, Text Generation |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/W16-6607/ |
| https://www.aclweb.org/anthology/W16-6607 | |
| PWC | https://paperswithcode.com/paper/sketch-to-text-generation-toward-contextual |
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Effect of Data Annotation, Feature Selection and Model Choice on Spatial Description Generation in French
| Title | Effect of Data Annotation, Feature Selection and Model Choice on Spatial Description Generation in French |
| Authors | Anja Belz, Adrian Muscat, Br Birmingham, on, Jessie Levacher, Julie Pain, Adam Quinquenel |
| Abstract | |
| Tasks | Feature Selection, Image Captioning, Text Generation |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/W16-6639/ |
| https://www.aclweb.org/anthology/W16-6639 | |
| PWC | https://paperswithcode.com/paper/effect-of-data-annotation-feature-selection |
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An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition
| Title | An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition |
| Authors | Wencan Luo, Fan Yang |
| Abstract | |
| Tasks | Chinese Word Segmentation, Machine Translation, Named Entity Recognition, Part-Of-Speech Tagging, Slot Filling, Speech Recognition, Spoken Language Understanding |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1028/ |
| https://www.aclweb.org/anthology/N16-1028 | |
| PWC | https://paperswithcode.com/paper/an-empirical-study-of-automatic-chinese-word |
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Automatic Reports from Spreadsheets: Data Analysis for the Rest of Us
| Title | Automatic Reports from Spreadsheets: Data Analysis for the Rest of Us |
| Authors | Pablo Duboue |
| Abstract | |
| Tasks | Text Generation |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/W16-6641/ |
| https://www.aclweb.org/anthology/W16-6641 | |
| PWC | https://paperswithcode.com/paper/automatic-reports-from-spreadsheets-data |
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Using the TED Talks to Evaluate Spoken Post-editing of Machine Translation
| Title | Using the TED Talks to Evaluate Spoken Post-editing of Machine Translation |
| Authors | Jeevanthi Liyanapathirana, Andrei Popescu-Belis |
| Abstract | This paper presents a solution to evaluate spoken post-editing of imperfect machine translation output by a human translator. We compare two approaches to the combination of machine translation (MT) and automatic speech recognition (ASR): a heuristic algorithm and a machine learning method. To obtain a data set with spoken post-editing information, we use the French version of TED talks as the source texts submitted to MT, and the spoken English counterparts as their corrections, which are submitted to an ASR system. We experiment with various levels of artificial ASR noise and also with a state-of-the-art ASR system. The results show that the combination of MT with ASR improves over both individual outputs of MT and ASR in terms of BLEU scores, especially when ASR performance is low. |
| Tasks | Machine Translation, Speech Recognition |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1355/ |
| https://www.aclweb.org/anthology/L16-1355 | |
| PWC | https://paperswithcode.com/paper/using-the-ted-talks-to-evaluate-spoken-post |
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Is This Post Persuasive? Ranking Argumentative Comments in Online Forum
| Title | Is This Post Persuasive? Ranking Argumentative Comments in Online Forum |
| Authors | Zhongyu Wei, Yang Liu, Yi Li |
| Abstract | |
| Tasks | |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-2032/ |
| https://www.aclweb.org/anthology/P16-2032 | |
| PWC | https://paperswithcode.com/paper/is-this-post-persuasive-ranking-argumentative |
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Enhanced Personalized Search using Social Data
| Title | Enhanced Personalized Search using Social Data |
| Authors | Dong Zhou, S{'e}amus Lawless, Xuan Wu, Wenyu Zhao, Jianxun Liu |
| Abstract | |
| Tasks | Topic Models |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/D16-1067/ |
| https://www.aclweb.org/anthology/D16-1067 | |
| PWC | https://paperswithcode.com/paper/enhanced-personalized-search-using-social |
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Annotating Relation Inference in Context via Question Answering
| Title | Annotating Relation Inference in Context via Question Answering |
| Authors | Omer Levy, Ido Dagan |
| Abstract | |
| Tasks | Natural Language Inference, Question Answering |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-2041/ |
| https://www.aclweb.org/anthology/P16-2041 | |
| PWC | https://paperswithcode.com/paper/annotating-relation-inference-in-context-via |
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