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Relational feature engineering of natural language processing
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
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We present a new framework for feature engineering of natural language processing that is based on a relational data model of text. ...
This demonstrates the potential power of our framework for feature engineering. ...
INTRODUCTION We present a new framework for feature engineering of natural language processing (NLP) that is based on representing unstructured text in a relational data model. ...
doi:10.1145/1871437.1871709
dblp:conf/cikm/KobdaniSBKH10
fatcat:5q275iicf5dcpalytm6mzddfnm
A novel machine learning approach for the identification of named entity relations
2005
Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing - FeatureEng '05
unpublished
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In this paper, a novel machine learning approach for the identification of named entity relations (NERs) called positive and negative case-based learning (PNCBL) is proposed. ...
It pursues the improvement of the identification performance for NERs through simultaneously learning two opposite cases and automatically selecting effective multi-level linguistic features for NERs and ...
Acknowledgement This work is a part of the COLLATE project under contract no. 01INA01B, which is supported by the German Ministry for Education and Research. ...
doi:10.3115/1610230.1610232
fatcat:ugntyoxe65gtxh5paix5yfd4cu
Terms Extractions: An Approach for Requirements Reuse
2015
2015 2nd International Conference on Information Science and Security (ICISS)
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We proposed a semi-Automated approach to extract the software features from online software review to assist the process to reuse natural language requirements. ...
This paper presents a solution to a requirements reuse problem that utilises natural language processing and information retrieval technique. ...
Evaluation results
Extraction process
Features extraction
NAtural language processing
Natural language requirements
Requirements reuse
Engineering main
heading:
Computer software reusability ...
doi:10.1109/icissec.2015.7371034
fatcat:war5gceqsrapraxl722f2nlte4
Wiki-Based Tool for Requirements Engineering According to the ProjectIT Approach
2009
2009 Fourth International Conference on Software Engineering Advances
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Additionally, we discuss that it is possible to combine these benefits with Natural Language Processing techniques, already provided by ProjectIT's CASE tools, to leverage the quality and rigor of requirements ...
Engineering. ...
From this point on the Requirements Engineers benefit from usage of requirements specifications written with a controlled natural language. ...
doi:10.1109/icsea.2009.58
dblp:conf/icsea/FerreiraS09
fatcat:sxieu6hv4ngt5k4sl6edvkbuua
Agile Engineering of Internal Domain-Specific Languages with Dynamic Programming Languages
2010
2010 Fifth International Conference on Software Engineering Advances
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This article presents an engineering process for internal DSLs. An agile process leads from analysis to design and implementation. ...
In summary, the proposed process and patterns facilitate the successful planning and developing of internal DSLs using dynamic programming languages as the host. ...
Maximilian Haupt and Matthias Splieth are master degree students with the School of Computer Science. ...
doi:10.1109/icsea.2010.32
dblp:conf/icsea/GuntherHS10
fatcat:gxuhhtxz2jbqveanowbhlhtaoy
Business Sentiment Quotient Analysis using Natural Language Processing
2020
International Journal of Engineering and Advanced Technology
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BSQ involves word2vec[1] word embedding technique from Natural Language Processing. ...
Number of tweets related to business are accessed from twitter and processed to estimate BSQ using python programming language. BSQ may be utilized for further Machine Learning Activities. ...
Natural Language Processing (NLP) has several features namely LDP [3] , TF-IDF [4] and son on. ...
doi:10.35940/ijeat.d8721.049420
fatcat:46lgdz4atjbsllmz3ywafpou6e
ISA: An Intelligent Shopping Assistant
[article]
2020
arXiv
pre-print
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We take a data-driven approach in building the engines of ISA's natural language processing component, and the engines achieve good performance. ...
ISA assists users by leveraging advanced techniques in computer vision, speech processing, and natural language processing. ...
Sheng Li (University of Georgia) for their guidance and feedback on this project. ...
arXiv:2007.03805v2
fatcat:qszn36fgana25ad5jmfpnsjn64
Role of Deep Recurrent Neural Networks in Natural Language Processing
2019
International journal of recent technology and engineering
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Natural Language Processing is a group of computing methodologies used for analyzing and illustrating of Natural Language (NL). ...
Natural Language is used to collect and present information in numerous fields. NLP can be to extract and process information in human language automatically. ...
NLP techniques can be applied to analyze requirements-related documents automatically.
IX. CONCLUSION Basic tasks of Natural Language Processing are explained in brief in this article. ...
doi:10.35940/ijrte.b1597.0982s1119
fatcat:f34k3dcgybdsnnzg7qzy4fwfdq
Special issue on statistical learning of natural language structured input and output
2012
Natural Language Engineering
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However, machine learning requires careful parameter tuning and feature engineering for representing language phenomena. ...
During last decade, machine learning and, in particular, statistical approaches have become more and more important for research in Natural Language Processing (NLP) and Computational Linguistics. ...
Acknowledgments The guest editors would like to express their gratitude to all contributing authors, the executive editor, Ruslan Mitkov, the editors and the staff of the Journal of Natural Language Engineering ...
doi:10.1017/s135132491200006x
fatcat:mwpc7oe2wvhznfmrwzwab2kqi4
Context Detection In Spreadsheets Based On Automatically Inferred Table Schema
2016
Zenodo
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In this paper, we describe an Interactive Spreadsheet Processing Module (ISPM), a natural language interface to spreadsheets that allows users to address ranges within the spreadsheet based on inferred ...
Programming requires years of training. With natural language and end user development methods, programming could become available to everyone. ...
Input Processing Given the logical structure of a table and a natural language user query, we resolve natural language cell references by first matching the table data and header labels with the words ...
doi:10.5281/zenodo.1127889
fatcat:c7smoanix5g45d73fk3uvk4ygi
Translating natural language utterances to search queries for SLU domain detection using query click logs
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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However, the form of natural language utterances occurring in spoken interactions with a computer differs stylistically from that of keyword search queries. ...
from search engine query click logs of user utterances with automatically translated queries. ...
In this work, we introduce novel methods for translating naturally spoken user utterances into a form similar to keyword search queries, and extract features from search engine query click logs, related ...
doi:10.1109/icassp.2012.6289031
dblp:conf/icassp/Hakkani-TurTIH12
fatcat:ywusqzl4kzcpnddq3cd3cnrcyq
Robot Learning of Domain Specific Knowledge from Natural Language Sources
[chapter]
2010
Robot Learning
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Natural language processing The term natural language is used to describe human languages (English, German, Chinese, …). ...
The third segment will present natural language processing. ...
/robot-learning-of-domain-specificknowledge-from-natural-language-sources ...
doi:10.5772/10249
fatcat:cjoy5bfxk5cffi75s542esjhre
Aspect Based Sentiments from Tweets using Co-Ranking Multi-Modal Natural Language Processing Methodologies
2020
International journal of recent technology and engineering
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Initially, tweets of different events are collected from social sites which are processed by natural language procedures such as Stemming, Lemmatization, Part-of-speech tagging, word segmentation and parsing ...
To overcome the above issues, the co-ranking multi-modal natural language processing based sentiment analysis system was developed to detect the emotions from the posted tweets. ...
Multi-Modal Natural Language Processing Based Twitter Preprocessing The next step of the work is multi-modal natural language processing based sentiment tweets analysis. ...
doi:10.35940/ijrte.e6305.018520
fatcat:i6jrkluet5gddl5hdkoiuusaq4
Using Natural Language Processing for Detection of Events and Spam Control from user Data Stream in Social Sites
2015
International Journal of Engineering Research and
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For now whatever work has been done is narrated below like spam control using natural language processing for preprocessing and clustering. One account has been created for making it real. ...
To extract what topic is becoming hot on online media is one of the challenges. ...
Mohod, coordinator of M.Tech. in Computer Engineering Department, for his constant guidance. I am extremely grateful to him for his sincere, expert and valuable guidance extended to me. ...
doi:10.17577/ijertv4is041038
fatcat:bmun6nsfjzg6teg5hltan7mpa4
Turkish Natural Language Processing Studies
2019
Zenodo
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Natural language processing which is an engineering field which is concerned with the design and implementation of computer systems whose main function is to analyze, understand, interpret and produce ...
Documentation on the current method of examination to be reliable scientific research and thesis studies on natural language processing in Turkey were examined by scanning pages of the thesis of Higher ...
In the software, Turkish WordNet is used for semantic relations and Zemberek is used for natural language processing infrastructure. ...
doi:10.5281/zenodo.3610009
fatcat:5ivzxoqnn5blpgczh43yw4hyeu
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