May 5, 2019

1135 words 6 mins read

Paper Group NANR 95

Paper Group NANR 95

Transition-based dependency parsing as latent-variable constituent parsing. Proceedings of the SIGFSM Workshop on Statistical NLP and Weighted Automata. ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking. Language Portability for Dialogue Systems: Translating a Question-Answering System from …

Transition-based dependency parsing as latent-variable constituent parsing

Title Transition-based dependency parsing as latent-variable constituent parsing
Authors Mark-Jan Nederhof
Abstract
Tasks Dependency Parsing, Transition-Based Dependency Parsing
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-2403/
PDF https://www.aclweb.org/anthology/W16-2403
PWC https://paperswithcode.com/paper/transition-based-dependency-parsing-as-latent
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Framework

Proceedings of the SIGFSM Workshop on Statistical NLP and Weighted Automata

Title Proceedings of the SIGFSM Workshop on Statistical NLP and Weighted Automata
Authors
Abstract
Tasks
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-2400/
PDF https://www.aclweb.org/anthology/W16-2400
PWC https://paperswithcode.com/paper/proceedings-of-the-sigfsm-workshop-on
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Framework

ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking

Title ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking
Authors Feixiang Wang, Zhihua Zhang, Man Lan
Abstract
Tasks Learning-To-Rank, Sentiment Analysis
Published 2016-06-01
URL https://www.aclweb.org/anthology/S16-1080/
PDF https://www.aclweb.org/anthology/S16-1080
PWC https://paperswithcode.com/paper/ecnu-at-semeval-2016-task-7-an-enhanced
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Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil

Title Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil
Authors Satheesh Ravi, Ron Artstein
Abstract
Tasks Machine Translation, Question Answering
Published 2016-09-01
URL https://www.aclweb.org/anthology/W16-3614/
PDF https://www.aclweb.org/anthology/W16-3614
PWC https://paperswithcode.com/paper/language-portability-for-dialogue-systems
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Framework

Featureless Domain-Specific Term Extraction with Minimal Labelled Data

Title Featureless Domain-Specific Term Extraction with Minimal Labelled Data
Authors Rui Wang, Wei Liu, Chris McDonald
Abstract
Tasks Coreference Resolution, Feature Selection, Word Sense Disambiguation
Published 2016-12-01
URL https://www.aclweb.org/anthology/U16-1011/
PDF https://www.aclweb.org/anthology/U16-1011
PWC https://paperswithcode.com/paper/featureless-domain-specific-term-extraction
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Framework

European Union Language Resources in Sketch Engine

Title European Union Language Resources in Sketch Engine
Authors V{'\i}t Baisa, Jan Michelfeit, Marek Medve{\v{d}}, Milo{\v{s}} Jakub{'\i}{\v{c}}ek
Abstract Several parallel corpora built from European Union language resources are presented here. They were processed by state-of-the-art tools and made available for researchers in the corpus manager Sketch Engine. A completely new resource is introduced: EUR-Lex Corpus, being one of the largest parallel corpus available at the moment, containing 840 million English tokens and the largest language pair English-French has more than 25 million aligned segments (paragraphs).
Tasks
Published 2016-05-01
URL https://www.aclweb.org/anthology/L16-1445/
PDF https://www.aclweb.org/anthology/L16-1445
PWC https://paperswithcode.com/paper/european-union-language-resources-in-sketch
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Framework

QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages

Title QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages
Authors Arantxa Otegi, Nora Aranberri, Antonio Branco, Jan Haji{\v{c}}, Martin Popel, Kiril Simov, Eneko Agirre, Petya Osenova, Rita Pereira, Jo{~a}o Silva, Steven Neale
Abstract This work presents parallel corpora automatically annotated with several NLP tools, including lemma and part-of-speech tagging, named-entity recognition and classification, named-entity disambiguation, word-sense disambiguation, and coreference. The corpora comprise both the well-known Europarl corpus and a domain-specific question-answer troubleshooting corpus on the IT domain. English is common in all parallel corpora, with translations in five languages, namely, Basque, Bulgarian, Czech, Portuguese and Spanish. We describe the annotated corpora and the tools used for annotation, as well as annotation statistics for each language. These new resources are freely available and will help research on semantic processing for machine translation and cross-lingual transfer.
Tasks Cross-Lingual Transfer, Entity Disambiguation, Machine Translation, Named Entity Recognition, Part-Of-Speech Tagging, Word Sense Disambiguation
Published 2016-05-01
URL https://www.aclweb.org/anthology/L16-1483/
PDF https://www.aclweb.org/anthology/L16-1483
PWC https://paperswithcode.com/paper/qtleap-wsdned-corpora-semantic-annotation-of
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Framework

Stochastic Gradient Geodesic MCMC Methods

Title Stochastic Gradient Geodesic MCMC Methods
Authors Chang Liu, Jun Zhu, Yang Song
Abstract We propose two stochastic gradient MCMC methods for sampling from Bayesian posterior distributions defined on Riemann manifolds with a known geodesic flow, e.g. hyperspheres. Our methods are the first scalable sampling methods on these manifolds, with the aid of stochastic gradients. Novel dynamics are conceived and 2nd-order integrators are developed. By adopting embedding techniques and the geodesic integrator, the methods do not require a global coordinate system of the manifold and do not involve inner iterations. Synthetic experiments show the validity of the method, and its application to the challenging inference for spherical topic models indicate practical usability and efficiency.
Tasks Topic Models
Published 2016-12-01
URL http://papers.nips.cc/paper/6282-stochastic-gradient-geodesic-mcmc-methods
PDF http://papers.nips.cc/paper/6282-stochastic-gradient-geodesic-mcmc-methods.pdf
PWC https://paperswithcode.com/paper/stochastic-gradient-geodesic-mcmc-methods
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Framework

Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments

Title Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments
Authors Ransalu Senanayake, Lionel Ott, Simon O’Callaghan, Fabio T. Ramos
Abstract We consider the problem of building continuous occupancy representations in dynamic environments for robotics applications. The problem has hardly been discussed previously due to the complexity of patterns in urban environments, which have both spatial and temporal dependencies. We address the problem as learning a kernel classifier on an efficient feature space. The key novelty of our approach is the incorporation of variations in the time domain into the spatial domain. We propose a method to propagate motion uncertainty into the kernel using a hierarchical model. The main benefit of this approach is that it can directly predict the occupancy state of the map in the future from past observations, being a valuable tool for robot trajectory planning under uncertainty. Our approach preserves the main computational benefits of static Hilbert maps — using stochastic gradient descent for fast optimization of model parameters and incremental updates as new data are captured. Experiments conducted in road intersections of an urban environment demonstrated that spatio-temporal Hilbert maps can accurately model changes in the map while outperforming other techniques on various aspects.
Tasks
Published 2016-12-01
URL http://papers.nips.cc/paper/6541-spatio-temporal-hilbert-maps-for-continuous-occupancy-representation-in-dynamic-environments
PDF http://papers.nips.cc/paper/6541-spatio-temporal-hilbert-maps-for-continuous-occupancy-representation-in-dynamic-environments.pdf
PWC https://paperswithcode.com/paper/spatio-temporal-hilbert-maps-for-continuous
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Framework

Speculation and Negation Scope Detection via Convolutional Neural Networks

Title Speculation and Negation Scope Detection via Convolutional Neural Networks
Authors Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou, Zhunchen Luo, Wei Luo
Abstract
Tasks
Published 2016-11-01
URL https://www.aclweb.org/anthology/D16-1078/
PDF https://www.aclweb.org/anthology/D16-1078
PWC https://paperswithcode.com/paper/speculation-and-negation-scope-detection-via
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Framework

On What an Adnominal Appendix Modifies in Korean Adjunct RDCs

Title On What an Adnominal Appendix Modifies in Korean Adjunct RDCs
Authors Daeho Chung
Abstract
Tasks
Published 2016-10-01
URL https://www.aclweb.org/anthology/Y16-3008/
PDF https://www.aclweb.org/anthology/Y16-3008
PWC https://paperswithcode.com/paper/on-what-an-adnominal-appendix-modifies-in
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Framework

News Stream Summarization using Burst Information Networks

Title News Stream Summarization using Burst Information Networks
Authors Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui
Abstract
Tasks Document Summarization, Multi-Document Summarization, Text Summarization
Published 2016-11-01
URL https://www.aclweb.org/anthology/D16-1075/
PDF https://www.aclweb.org/anthology/D16-1075
PWC https://paperswithcode.com/paper/news-stream-summarization-using-burst
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Framework

Knowledge Base Completion via Coupled Path Ranking

Title Knowledge Base Completion via Coupled Path Ranking
Authors Quan Wang, Jing Liu, Yuanfei Luo, Bin Wang, Chin-Yew Lin
Abstract
Tasks Knowledge Base Completion, Multi-Task Learning
Published 2016-08-01
URL https://www.aclweb.org/anthology/P16-1124/
PDF https://www.aclweb.org/anthology/P16-1124
PWC https://paperswithcode.com/paper/knowledge-base-completion-via-coupled-path
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Framework

EM-Training for Weighted Aligned Hypergraph Bimorphisms

Title EM-Training for Weighted Aligned Hypergraph Bimorphisms
Authors Frank Drewes, Kilian Gebhardt, Heiko Vogler
Abstract
Tasks Machine Translation
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-2407/
PDF https://www.aclweb.org/anthology/W16-2407
PWC https://paperswithcode.com/paper/em-training-for-weighted-aligned-hypergraph
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Framework

On the Correspondence between Compositional Matrix-Space Models of Language and Weighted Automata

Title On the Correspondence between Compositional Matrix-Space Models of Language and Weighted Automata
Authors Shima Asaadi, Sebastian Rudolph
Abstract
Tasks Semantic Composition
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-2408/
PDF https://www.aclweb.org/anthology/W16-2408
PWC https://paperswithcode.com/paper/on-the-correspondence-between-compositional
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