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Relational feature engineering of natural language processing

Hamidreza Kobdani, Hinrich Schütze, Andre Burkovski, Wiltrud Kessler, Gunther Heidemann
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
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

Tianfang Yao, Hans Uszkoreit
2005 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing - FeatureEng '05   unpublished
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

Noor Hasrina Bakar, Zarinah M. Kasirun, Norsaremah Salleh
2015 2015 2nd International Conference on Information Science and Security (ICISS)  
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

David de Almeida Ferreira, Alberto Rodrigues da Silva
2009 2009 Fourth International Conference on Software Engineering Advances  
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

Sebastian Gunther, Maximilian Haupt, Matthias Splieth
2010 2010 Fifth International Conference on Software Engineering Advances  
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  
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]

Tuan Manh Lai, Trung Bui, Nedim Lipka
2020 arXiv   pre-print
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  
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

LLUÍS MÀRQUEZ, ALESSANDRO MOSCHITTI
2012 Natural Language Engineering  
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

Alexander Wachtel, Michael T. Franzen, Walter F. Tichy
2016 Zenodo  
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

Dilek Hakkani-Tur, Gokhan Tur, Rukmini Iyer, Larry Heck
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
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]

Ines eh, Sandi Pohorec, Marjan Mernik, Milan Zorm
2010 Robot Learning  
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  
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

Roshani M. Shete, Prof. S. W. Mohod
2015 International Journal of Engineering Research and  
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

E Yilmaz Ince
2019 Zenodo  
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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