May 4, 2019

869 words 5 mins read

Paper Group NANR 180

Paper Group NANR 180

Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM). Intra-Topic Variability Normalization based on Linear Projection for Topic Classification. SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter. PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter U …

Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM)

Title Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM)
Authors
Abstract
Tasks
Published 2016-12-01
URL https://www.aclweb.org/anthology/W16-5000/
PDF https://www.aclweb.org/anthology/W16-5000
PWC https://paperswithcode.com/paper/proceedings-of-the-workshop-on-extra
Repo
Framework

Intra-Topic Variability Normalization based on Linear Projection for Topic Classification

Title Intra-Topic Variability Normalization based on Linear Projection for Topic Classification
Authors Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang, Yu Hu
Abstract
Tasks Semantic Textual Similarity
Published 2016-06-01
URL https://www.aclweb.org/anthology/N16-1051/
PDF https://www.aclweb.org/anthology/N16-1051
PWC https://paperswithcode.com/paper/intra-topic-variability-normalization-based
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Framework

SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter

Title SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter
Authors Hussam Hamdan
Abstract
Tasks Sentiment Analysis
Published 2016-06-01
URL https://www.aclweb.org/anthology/S16-1028/
PDF https://www.aclweb.org/anthology/S16-1028
PWC https://paperswithcode.com/paper/sentisys-at-semeval-2016-task-4-feature-based
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Framework

PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.

Title PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.
Authors Uladzimir Sidarenka
Abstract
Tasks Domain Adaptation, Opinion Mining, Sentiment Analysis
Published 2016-06-01
URL https://www.aclweb.org/anthology/S16-1035/
PDF https://www.aclweb.org/anthology/S16-1035
PWC https://paperswithcode.com/paper/potts-at-semeval-2016-task-4-sentiment
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Framework

NileTMRG at SemEval-2016 Task 5: Deep Convolutional Neural Networks for Aspect Category and Sentiment Extraction

Title NileTMRG at SemEval-2016 Task 5: Deep Convolutional Neural Networks for Aspect Category and Sentiment Extraction
Authors Talaat Khalil, Samhaa R. El-Beltagy
Abstract
Tasks Aspect-Based Sentiment Analysis, Sentiment Analysis
Published 2016-06-01
URL https://www.aclweb.org/anthology/S16-1043/
PDF https://www.aclweb.org/anthology/S16-1043
PWC https://paperswithcode.com/paper/niletmrg-at-semeval-2016-task-5-deep
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Framework

IHS-RD-Belarus at SemEval-2016 Task 5: Detecting Sentiment Polarity Using the Heatmap of Sentence

Title IHS-RD-Belarus at SemEval-2016 Task 5: Detecting Sentiment Polarity Using the Heatmap of Sentence
Authors Maryna Chernyshevich
Abstract
Tasks Aspect-Based Sentiment Analysis, Sentiment Analysis
Published 2016-06-01
URL https://www.aclweb.org/anthology/S16-1047/
PDF https://www.aclweb.org/anthology/S16-1047
PWC https://paperswithcode.com/paper/ihs-rd-belarus-at-semeval-2016-task-5
Repo
Framework

GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis

Title GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis
Authors Tamara {'A}lvarez-L{'o}pez, Jonathan Juncal-Mart{'\i}nez, Milagros Fern{'a}ndez-Gavilanes, Enrique Costa-Montenegro, Francisco Javier Gonz{'a}lez-Casta{~n}o
Abstract
Tasks Aspect-Based Sentiment Analysis, Sentiment Analysis
Published 2016-06-01
URL https://www.aclweb.org/anthology/S16-1049/
PDF https://www.aclweb.org/anthology/S16-1049
PWC https://paperswithcode.com/paper/gti-at-semeval-2016-task-5-svm-and-crf-for
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Framework

AKTSKI at SemEval-2016 Task 5: Aspect Based Sentiment Analysis for Consumer Reviews

Title AKTSKI at SemEval-2016 Task 5: Aspect Based Sentiment Analysis for Consumer Reviews
Authors Shubham Pateria, Prafulla Choubey
Abstract
Tasks Aspect-Based Sentiment Analysis, Sentiment Analysis
Published 2016-06-01
URL https://www.aclweb.org/anthology/S16-1051/
PDF https://www.aclweb.org/anthology/S16-1051
PWC https://paperswithcode.com/paper/aktski-at-semeval-2016-task-5-aspect-based
Repo
Framework

LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch

Title LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch
Authors Isabel Segura-Bedmar, Adri{'a}n Carruana, Paloma Mart{'\i}nez
Abstract
Tasks Question Answering
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-3103/
PDF https://www.aclweb.org/anthology/W16-3103
PWC https://paperswithcode.com/paper/labda-at-the-2016-bioasq-challenge-task-4a
Repo
Framework

Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools

Title Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools
Authors J{"o}rg Tiedemann, Fabienne Cap, Jenna Kanerva, Filip Ginter, Sara Stymne, Robert {"O}stling, Marion Weller-Di Marco
Abstract
Tasks Language Modelling, Machine Translation, Word Alignment
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-2326/
PDF https://www.aclweb.org/anthology/W16-2326
PWC https://paperswithcode.com/paper/phrase-based-smt-for-finnish-with-more-data
Repo
Framework

Private or Corporate? Predicting User Types on Twitter

Title Private or Corporate? Predicting User Types on Twitter
Authors Nikola Ljube{\v{s}}i{'c}, Darja Fi{\v{s}}er
Abstract In this paper we present a series of experiments on discriminating between private and corporate accounts on Twitter. We define features based on Twitter metadata, morphosyntactic tags and surface forms, showing that the simple bag-of-words model achieves single best results that can, however, be improved by building a weighted soft ensemble of classifiers based on each feature type. Investigating the time and language dependence of each feature type delivers quite unexpecting results showing that features based on metadata are neither time- nor language-insensitive as the way the two user groups use the social network varies heavily through time and space.
Tasks
Published 2016-12-01
URL https://www.aclweb.org/anthology/W16-3904/
PDF https://www.aclweb.org/anthology/W16-3904
PWC https://paperswithcode.com/paper/private-or-corporate-predicting-user-types-on
Repo
Framework

Natural Language Descriptions of Human Activities Scenes: Corpus Generation and Analysis

Title Natural Language Descriptions of Human Activities Scenes: Corpus Generation and Analysis
Authors Nouf Alharbi, Yoshihiko Gotoh
Abstract
Tasks Action Classification, Object Recognition, Text Generation, Video Description
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-3205/
PDF https://www.aclweb.org/anthology/W16-3205
PWC https://paperswithcode.com/paper/natural-language-descriptions-of-human
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Framework

International Journal of Computational Linguistics & Chinese Language Processing, Volume 21, Number 1, June 2016

Title International Journal of Computational Linguistics & Chinese Language Processing, Volume 21, Number 1, June 2016
Authors
Abstract
Tasks
Published 2016-06-01
URL https://www.aclweb.org/anthology/O16-2000/
PDF https://www.aclweb.org/anthology/O16-2000
PWC https://paperswithcode.com/paper/international-journal-of-computational-6
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Framework

Introducing DRAIL – a Step Towards Declarative Deep Relational Learning

Title Introducing DRAIL – a Step Towards Declarative Deep Relational Learning
Authors Xiao Zhang, Maria Leonor Pacheco, Chang Li, Dan Goldwasser
Abstract
Tasks Part-Of-Speech Tagging, Relational Reasoning, Relation Extraction, Structured Prediction
Published 2016-11-01
URL https://www.aclweb.org/anthology/W16-5906/
PDF https://www.aclweb.org/anthology/W16-5906
PWC https://paperswithcode.com/paper/introducing-drail-a-a-step-towards
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Framework

A Syntactic Approach to the 1st Person Restriction of Causal Clauses in Korean

Title A Syntactic Approach to the 1st Person Restriction of Causal Clauses in Korean
Authors Semoon Hoe, Yugyeong Park
Abstract
Tasks
Published 2016-10-01
URL https://www.aclweb.org/anthology/Y16-2027/
PDF https://www.aclweb.org/anthology/Y16-2027
PWC https://paperswithcode.com/paper/a-syntactic-approach-to-the-1st-person
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Framework
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