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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (854)
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Hits 1.061 – 1.080 of 1.080
1061
Dynamic Integration of Multiple Evidence Sources for Ontology Learning
Gerhard Wohlgenannt
;
Albert Weichselbraun
;
Arno Scharl
...
In: http://eprints.weblyzard.com//56/1/wohlgenannt2012a-dynamicIntegrationOfMultipleEvidenceSources.pdf
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1062
An Innovative Two-Stage WSD Unsupervised Method Un Innovador Método No Supervisado para Desambiguación de Sentidos de Palabras basado en dos etapas
Javier Tejada Cárcamo
;
Sociedad Peruana De Computación
;
Er Gelbukh
...
In: http://www.sepln.org/revistaSEPLN/revista/40/15p20.pdf
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1063
Extractive Summarisation of Legal Texts
Ben Hachey
;
Claire Grover
In: http://www.ltg.ed.ac.uk/np/publications/ltg/papers/Hachey2006Extractive.pdf
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1064
EDUCATING LIA: THE DEVELOPMENT OF A LINGUISTICALLY ACCURATE MEMORY-BASED LEMMATISER FOR AFRIKAANS
Hendrik J. Groenewald
In: http://dl.ifip.org/db/conf/ifip12/iip2006/Groenewald06.pdf
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1065
Distributed Representations for Semantic Matching in non-factoid Question Answering
Piero Molino
;
Luca Maria Aiello
In: http://ceur-ws.org/Vol-1204/papers/paper_9.pdf
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1066
Tutor Dialogue Planning with Contextual Information and Discourse Structure
Robert Fisher
;
Reid Simmons
In: http://www.cs.cmu.edu/afs/cs/user/rwfisher/www/Curriculum_Vitae_files/fisher_simmons_its14.pdf
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1067
ONTOLOGY SWITCHING FOR THE SOCIAL SCIENCES. METHODS FOR THE UNDERLYING CORPUS ANALYSIS
Robert Strötgen
In: http://www.stroetgen.de/Dokumente/rc33-2004.pdf
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1068
A Proposed Architecture for Automated Assessment of Use Case Diagrams
Vinay Vachharajani
;
Jyoti Pareek Ph. D
In: http://research.ijcaonline.org/volume108/number4/pxc3900193.pdf
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1069
THE EFFECT OF PARALLEL CORPUS QUALITY VS SIZE IN ENGLISH-TO- TURKISH SMT
Eray Yıldızahmed
;
Cüneyd Tantuğand
;
Banu Diri
...
In: http://airccj.org/CSCP/vol4/csit42503.pdf
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1070
Experience
Nitin Madnani
In: http://www.desilinguist.org/pdf/madnani-cv.pdf
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1071
CALICO Journal, 26(3)
Diane M. Napolitano
;
A Stent
In: http://www.research.att.com/people/Stent_Amanda_J/library/publications/napolitanostent_09.pdf
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1072
Taxonomy and Evaluation of Markers for Computational
Foaad Khosmood
;
Robert Levinson
In: http://world-comp.org/p2011/ICA3763.pdf
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1073
Gradient for Structured Prediction
Porus Patell
In: http://www.cs.sfu.ca/%7Eanoop/students/porus_patell/poruspatell-mscProject.pdf
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1074
Social Network- An autonomous system designed for radio recommendation.
Grzegorz Dziczkowski
;
Rue Saint Honore
;
Lamine Bougueroua
In: http://www.cri.ensmp.fr/classement/doc/A-410.pdf
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1075
A Maximum Entropy (ME) Based Translation Model for Chinese Characters Conversion
Fai Wong
;
Sam Chao
;
Cheong Cheong Hao
...
In: http://www.cicling.org/2009/RCS-41/267-276.pdf
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1076
Effective Sentiment Analysis of Social Media Datasets using Naive Bayesian Classification
Dhiraj Gurkhe
;
Rishit Bhatia
In: http://research.ijcaonline.org/volume99/number13/pxc3898274.pdf
Abstract:
Effective Sentiment Analysis Of Social Media Datasets Using Naive Bayesian Classification involves extraction of subjective in-formation from textual data. A normal human can easily understand the sentiment of a document written in natural language based on its knowledge of understanding the polarity of words (unigram, bi-gram and n-grams) and in some cases the general semantics used to describe the subject. The project aims to make the machine extract the polarity (positive, negative or neutral) of social media dataset with respect to the queried keyword. This project introduces an ap-proach for automatically classifying the sentiment of social media data by using the following procedure: First the training data is fed to the Sentiment Analysis Engine for learning by using machine learning algorithm.After the learning is complete with qualified ac-curacy, the machine starts accepting individual social data with re-spect to keyword that it analyses and interprets, and then classifies it as positive, negative or neutral with respect to the query term.
Keyword:
Machine Learning
;
Natural Language Processing
;
Supervised Learning
;
Text Analysis
URL:
http://research.ijcaonline.org/volume99/number13/pxc3898274.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.678.7797
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1077
Deep Learning with Constraints for Answer-Agnostic Question Generation in Legal Text Understanding
Lamba, Deepti
. - August
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1078
Convolutional neural network language models
Boleda, Gemma
;
Pham, Nghia The
;
Kruszewski, German
. - : ACL (Association for Computational Linguistics)
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1079
A Hybrid approach for biomedical relation extraction using finite state automata and random forest-weighted fusion
Liparas, Dimitris
;
Symeonidis, Spyridon
;
Vrochidis, Stefanos
. - : Springer
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1080
The LAMBADA dataset: word prediction requiring a broad discourse context
Kruszewski, German
;
Fernandez, Raquel
;
Baroni, Marco
. - : ACL (Association for Computational Linguistics)
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