May 5, 2019

1281 words 7 mins read

Paper Group NANR 7

Paper Group NANR 7

Improving cross-domain n-gram language modelling with skipgrams. DCU-UvA Multimodal MT System Report. A Shared Task on Multimodal Machine Translation and Crosslingual Image Description. Evaluating Interactive System Adaptation. Transitivity in Light Verb Variations in Mandarin Chinese – A Comparable Corpus-based Statistical Approach. DalGTM at Sem …

Improving cross-domain n-gram language modelling with skipgrams

Title Improving cross-domain n-gram language modelling with skipgrams
Authors Louis Onrust, Antal van den Bosch, Hugo Van hamme
Abstract
Tasks Language Modelling, Speech Recognition
Published 2016-08-01
URL https://www.aclweb.org/anthology/P16-2023/
PDF https://www.aclweb.org/anthology/P16-2023
PWC https://paperswithcode.com/paper/improving-cross-domain-n-gram-language
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DCU-UvA Multimodal MT System Report

Title DCU-UvA Multimodal MT System Report
Authors Iacer Calixto, Desmond Elliott, Stella Frank
Abstract
Tasks Machine Translation, Multimodal Machine Translation
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-2359/
PDF https://www.aclweb.org/anthology/W16-2359
PWC https://paperswithcode.com/paper/dcu-uva-multimodal-mt-system-report
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A Shared Task on Multimodal Machine Translation and Crosslingual Image Description

Title A Shared Task on Multimodal Machine Translation and Crosslingual Image Description
Authors Lucia Specia, Stella Frank, Khalil Sima{'}an, Desmond Elliott
Abstract
Tasks Image Retrieval, Machine Translation, Multimodal Machine Translation, Question Answering, Video Captioning, Visual Question Answering
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-2346/
PDF https://www.aclweb.org/anthology/W16-2346
PWC https://paperswithcode.com/paper/a-shared-task-on-multimodal-machine
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Evaluating Interactive System Adaptation

Title Evaluating Interactive System Adaptation
Authors Edouard Geoffrois
Abstract Enabling users of intelligent systems to enhance the system performance by providing feedback on their errors is an important need. However, the ability of systems to learn from user feedback is difficult to evaluate in an objective and comparative way. Indeed, the involvement of real users in the adaptation process is an impediment to objective evaluation. This issue can be solved by using an oracle approach, where users are simulated by oracles having access to the reference test data. Another difficulty is to find a meaningful metric despite the fact that system improvements depend on the feedback provided and on the system itself. A solution is to measure the minimal amount of information needed to correct all system errors. It can be shown that for any well defined non interactive task, the interactively supervised version of the task can be evaluated by combining such an oracle-based approach and a minimum supervision rate metric. This new evaluation protocol for adaptive systems is not only expected to drive progress for such systems, but also to pave the way for a specialisation of actors along the value chain of their technological development.
Tasks
Published 2016-05-01
URL https://www.aclweb.org/anthology/L16-1039/
PDF https://www.aclweb.org/anthology/L16-1039
PWC https://paperswithcode.com/paper/evaluating-interactive-system-adaptation
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Transitivity in Light Verb Variations in Mandarin Chinese – A Comparable Corpus-based Statistical Approach

Title Transitivity in Light Verb Variations in Mandarin Chinese – A Comparable Corpus-based Statistical Approach
Authors Menghan Jiang, Dingxu Shi, Chu-Ren Huang
Abstract
Tasks
Published 2016-10-01
URL https://www.aclweb.org/anthology/Y16-3018/
PDF https://www.aclweb.org/anthology/Y16-3018
PWC https://paperswithcode.com/paper/transitivity-in-light-verb-variations-in
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DalGTM at SemEval-2016 Task 1: Importance-Aware Compositional Approach to Short Text Similarity

Title DalGTM at SemEval-2016 Task 1: Importance-Aware Compositional Approach to Short Text Similarity
Authors Jie Mei, Aminul Islam, Evangelos Milios
Abstract
Tasks Information Retrieval, Semantic Textual Similarity
Published 2016-06-01
URL https://www.aclweb.org/anthology/S16-1118/
PDF https://www.aclweb.org/anthology/S16-1118
PWC https://paperswithcode.com/paper/dalgtm-at-semeval-2016-task-1-importance
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Nederlab: Towards a Single Portal and Research Environment for Diachronic Dutch Text Corpora

Title Nederlab: Towards a Single Portal and Research Environment for Diachronic Dutch Text Corpora
Authors Hennie Brugman, Martin Reynaert, Nicoline van der Sijs, Ren{'e} van Stipriaan, Erik Tjong Kim Sang, Antal van den Bosch
Abstract The Nederlab project aims to bring together all digitized texts relevant to the Dutch national heritage, the history of the Dutch language and culture (circa 800 {–} present) in one user friendly and tool enriched open access web interface. This paper describes Nederlab halfway through the project period and discusses the collections incorporated, back-office processes, system back-end as well as the Nederlab Research Portal end-user web application.
Tasks
Published 2016-05-01
URL https://www.aclweb.org/anthology/L16-1203/
PDF https://www.aclweb.org/anthology/L16-1203
PWC https://paperswithcode.com/paper/nederlab-towards-a-single-portal-and-research
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Detecting Level of Belief in Chinese and Spanish

Title Detecting Level of Belief in Chinese and Spanish
Authors Juan Pablo Colomer, Keyu Lai, Owen Rambow
Abstract There has been extensive work on detecting the level of committed belief (also known as {``}factuality{''}) that an author is expressing towards the propositions in his or her utterances. Previous work on English has revealed that this can be done as a sequence tagging task. In this paper, we investigate the same task for Chinese and Spanish, two very different languages from English and from each other. |
Tasks
Published 2016-12-01
URL https://www.aclweb.org/anthology/W16-5003/
PDF https://www.aclweb.org/anthology/W16-5003
PWC https://paperswithcode.com/paper/detecting-level-of-belief-in-chinese-and
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The ILSP/ARC submission to the WMT 2016 Bilingual Document Alignment Shared Task

Title The ILSP/ARC submission to the WMT 2016 Bilingual Document Alignment Shared Task
Authors Vassilis Papavassiliou, Prokopis Prokopidis, Stelios Piperidis
Abstract
Tasks Language Identification, Machine Translation, Text Classification
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-2375/
PDF https://www.aclweb.org/anthology/W16-2375
PWC https://paperswithcode.com/paper/the-ilsparc-submission-to-the-wmt-2016
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Complementarity, F-score, and NLP Evaluation

Title Complementarity, F-score, and NLP Evaluation
Authors Leon Derczynski
Abstract This paper addresses the problem of quantifying the differences between entity extraction systems, where in general only a small proportion a document should be selected. Comparing overall accuracy is not very useful in these cases, as small differences in accuracy may correspond to huge differences in selections over the target minority class. Conventionally, one may use per-token complementarity to describe these differences, but it is not very useful when the set is heavily skewed. In such situations, which are common in information retrieval and entity recognition, metrics like precision and recall are typically used to describe performance. However, precision and recall fail to describe the differences between sets of objects selected by different decision strategies, instead just describing the proportional amount of correct and incorrect objects selected. This paper presents a method for measuring complementarity for precision, recall and F-score, quantifying the difference between entity extraction approaches.
Tasks Entity Extraction, Information Retrieval
Published 2016-05-01
URL https://www.aclweb.org/anthology/L16-1040/
PDF https://www.aclweb.org/anthology/L16-1040
PWC https://paperswithcode.com/paper/complementarity-f-score-and-nlp-evaluation
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Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions

Title Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions
Authors Lilian Calvet, Pierre Gurdjos, Carsten Griwodz, Simone Gasparini
Abstract Using fiducial markers ensures reliable detection and identification of planar features in images. Fiducials are used in a wide range of applications, especially when a reliable visual reference is needed, e.g., to track the camera in cluttered or textureless environments. A marker designed for such applications must be robust to partial occlusions, varying distances and angles of view, and fast camera motions. In this paper, we present a robust, highly accurate fiducial system, whose markers consist of concentric rings, along with its theoretical foundations. Relying on projective properties, it allows to robustly localize the imaged marker and to accurately detect the position of the image of the (common) circle center. We demonstrate that our system can detect and accurately localize these circular fiducials under very challenging conditions and the experimental results reveal that it outperforms other recent fiducial systems.
Tasks
Published 2016-06-01
URL http://openaccess.thecvf.com/content_cvpr_2016/html/Calvet_Detection_and_Accurate_CVPR_2016_paper.html
PDF http://openaccess.thecvf.com/content_cvpr_2016/papers/Calvet_Detection_and_Accurate_CVPR_2016_paper.pdf
PWC https://paperswithcode.com/paper/detection-and-accurate-localization-of
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Which Tumblr Post Should I Read Next?

Title Which Tumblr Post Should I Read Next?
Authors Zornitsa Kozareva, Makoto Yamada
Abstract
Tasks Matrix Completion, Recommendation Systems
Published 2016-08-01
URL https://www.aclweb.org/anthology/P16-2054/
PDF https://www.aclweb.org/anthology/P16-2054
PWC https://paperswithcode.com/paper/which-tumblr-post-should-i-read-next
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Finding Optimists and Pessimists on Twitter

Title Finding Optimists and Pessimists on Twitter
Authors Xianzhi Ruan, Steven Wilson, Rada Mihalcea
Abstract
Tasks
Published 2016-08-01
URL https://www.aclweb.org/anthology/P16-2052/
PDF https://www.aclweb.org/anthology/P16-2052
PWC https://paperswithcode.com/paper/finding-optimists-and-pessimists-on-twitter
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Bootstrapped Text-level Named Entity Recognition for Literature

Title Bootstrapped Text-level Named Entity Recognition for Literature
Authors Julian Brooke, Adam Hammond, Timothy Baldwin
Abstract
Tasks Named Entity Recognition
Published 2016-08-01
URL https://www.aclweb.org/anthology/P16-2056/
PDF https://www.aclweb.org/anthology/P16-2056
PWC https://paperswithcode.com/paper/bootstrapped-text-level-named-entity
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Learning Monolingual Compositional Representations via Bilingual Supervision

Title Learning Monolingual Compositional Representations via Bilingual Supervision
Authors Ahmed Elgohary, Marine Carpuat
Abstract
Tasks Cross-Lingual Document Classification, Cross-Lingual Transfer, Document Classification, Machine Translation, Representation Learning, Semantic Textual Similarity
Published 2016-08-01
URL https://www.aclweb.org/anthology/P16-2059/
PDF https://www.aclweb.org/anthology/P16-2059
PWC https://paperswithcode.com/paper/learning-monolingual-compositional
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