Lexical Chaining


Lexical Chain

Notes:

Inside of Lexalytics software, theme extraction uses lexical chains for theme scoring. Summarization uses lexical chains to pick the most representative sentences. Entity sentiment scoring uses lexical chains to associate sentiment bearing phrases with the entities themselves.

  • Automatic text generation
  • Lexical chain
  • Lexical chains
  • Lexical chaining

Resources:

References:

  • Lexical chains and their natural language processing applications (2012)
  • Automatic Text Summarization Using Lexical Chains: Algorithms And Experiments (2002)

See also:

Automatic Summarization 2011GISTexter | Lexical Analysis & Dialog Systems | Lexical Chain & Dialog Systems


Using lexical chains for keyword extraction G Ercan, I Cicekli – Information Processing & Management, 2007 – Elsevier Keywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of automatic extraction of keywords from documents is treated as a supervised learning task. A lexical chain holds a set of semantically related … Cited by 156 Related articles All 14 versions

A query-focused multi-document summarizer based on lexical chains J Li, L Sun, C Kit, J Webster – Proceedings of the Document …, 2007 – www-nlpir.nist.gov Abstract This paper presents our work on queryfocused multi-document summarization with the enhanced IS_SUM system. We focus on improving its lexical chain algorithm for efficiency enhancement, applying the WordNet for similarity calculation and adapting it to … Cited by 32 Related articles All 5 versions

Web-based annotation of anaphoric relations and lexical chains M Stührenberg, D Goecke, N Diewald… – Proceedings of the …, 2007 – dl.acm.org Abstract Annotating large text corpora is a time-consuming effort. Although single-user annotation tools are available, web-based annotation applications allow for distributed annotation and file access from different locations. In this paper we present the web-based … Cited by 42 Related articles All 15 versions

Topological Self-Organization and Prediction Learning Support Both Action and Lexical Chains in the Brain F Chersi, M Ferro, G Pezzulo… – Topics in cognitive …, 2014 – Wiley Online Library Abstract A growing body of evidence in cognitive psychology and neuroscience suggests a deep interconnection between sensory-motor and language systems in the brain. Based on recent neurophysiological findings on the anatomo-functional organization of the fronto- … Cited by 33 Related articles All 6 versions

Question answering with lexical chains propagating verb arguments A Novischi, D Moldovan – … of the 21st International Conference on …, 2006 – dl.acm.org Abstract This paper describes an algorithm for propagating verb arguments along lexical chains consisting of WordNet relations. The algorithm creates verb argument structures using VerbNet syntactic patterns. In order to increase the coverage, a larger set of verb … Cited by 25 Related articles All 10 versions

A keyword selection method based on lexical chains H Suo, Y Liu, S Cao – Journal of Chinese Information Processing, 2006 – en.cnki.com.cn Keywords are very useful for information retrieval, automatic summarizing, text clustering/ classificationand so on. Alexical chain is a series of related words and primarily used in text structure analyzing. The paper propo-ses a lexical-chain-based keywords indexing … Cited by 27 Related articles

BioChain: lexical chaining methods for biomedical text summarization L Reeve, H Han, AD Brooks – Proceedings of the 2006 ACM symposium …, 2006 – dl.acm.org Abstract Lexical chaining is a technique for identifying semantically-related terms in text. We propose concept chaining to link semantically-related concepts within biomedical text together. The resulting concept chains are then used to identify candidate sentences … Cited by 20 Related articles All 10 versions

Computing lexical chains with graph clustering O Medelyan – Proceedings of the 45th Annual Meeting of the ACL: …, 2007 – dl.acm.org Abstract This paper describes a new method for computing lexical chains. These are sequences of semantically related words that reflect a text’s cohesive structure. In contrast to previous methods, we are able to select chains based on their cohesive strength. This is … Cited by 19 Related articles All 17 versions

An evaluation procedure for word net based lexical chaining: Methods and issues I Cramer, M Finthammer – Proceedings of the 4th global wordnet …, 2008 – irene-cramer.de Abstract. Lexical chaining is regarded to be a valuable resource for NLP applications, such as automatic text summarization or topic detection. Typically, lexical chainers use a word net to compute semantically motivated partial text representations. However, their output is … Cited by 21 Related articles All 5 versions

Automatic text summarization based on lexical chains and structural features L Yu, J Ma, F Ren, S Kuroiwa – Software Engineering, Artificial …, 2007 – ieeexplore.ieee.org Abstract The rapid growth of the Internet has resulted in enormous amounts of information that has become more difficult to access efficiently. The primary goal of this research is to create an efficient tool that is able to summarize large documents automatically. We … Cited by 16 Related articles All 5 versions

Towards Automatic Content Tagging-Enhanced Web Services in Digital Libraries using Lexical Chaining. U Waltinger, A Mehler, G Heyer – WEBIST (2), 2008 – ulliwaltinger.de 1Text Technology, University of Bielefeld, Universitätsstraße 25, 33615 Bielefeld, Germany, 2Institute of Computer Science, NLP Department, University of Leipzig, Johannisgasse 26, 04103 Leipzig, Germany {Ulli_Marc. Waltinger, Alexander. Mehler}@ uni-bielefeld. de … Cited by 16 Related articles All 5 versions

Modeling the statistical behavior of lexical chains to capture word cohesiveness for automatic story segmentation. S Chan, L Xie, HM Meng – INTERSPEECH, 2007 – se.cuhk.edu.hk Abstract We present a mathematically rigorous framework for modeling the statistical behavior of lexical chains for automatic story segmentation of broadcast news audio. Lexical chains were first proposed in [1] to connect related terms within a story, as an embodiment … Cited by 13 Related articles All 9 versions

An integrated model of lexical chaining: application, resources and its format U Waltinger, A Mehler, M Stührenberg – KONVENS, 2008 – researchgate.net Abstract. Lexical chaining has become an important part of many NLP tasks. However, the goodness of a chaining process and hence its annotation output depends on the quality of the chaining resource. Therefore, a framework for chaining is needed which integrates … Cited by 10 Related articles All 5 versions

Lexical chains using distributional measures of concept distance M Marathe, G Hirst – Computational linguistics and intelligent text …, 2010 – Springer Abstract In practice, lexical chains are typically built using term reiteration or resource-based measures of semantic distance. The former approach misses out on a significant portion of the inherent semantic information in a text, while the latter suffers from the limitations of the … Cited by 10 Related articles All 52 versions

Automatic knowledge representation using a graph-based algorithm for language-independent lexical chaining G Dias, C Santos, G Cleuziou – Proceedings of the Workshop on …, 2006 – dl.acm.org Abstract Lexical Chains are powerful representations of documents. In particular, they have successfully been used in the field of Automatic Text Summarization. However, until now, Lexical Chaining algorithms have only been proposed for English. In this paper, we … Cited by 10 Related articles All 15 versions

A formal text representation model based on lexical chaining A Mehler, U Waltinger… – LNVD 2007 …, 2007 – cogsci.xn--uni-osnabrck-mlb.de Abstract. This paper presents a formal text representation model as an alternative to the vector space model. It combines a tree-like model with graph-inducing lexical relations. The paper aims at formalizing two yet unrelated approaches, ie lexical chaining [3] and … Cited by 9 Related articles All 24 versions

Keyword extraction based on lexical chains and word co-occurrence for Chinese news web pages X Li, X Wu, X Hu, F Xie, Z Jiang – Data Mining Workshops, 2008 …, 2008 – ieeexplore.ieee.org Abstract This paper presents a new keyword extraction algorithm for Chinese news web pages using lexical chains and word co-occurrence combined with frequency features, cohesion features, and corelation features. A lexical chain is an external performance … Cited by 9 Related articles All 5 versions

Combining lexical stability and improved lexical chain for unsupervised word sense disambiguation J Chen, J Liu, W Yu, P Wu – Knowledge Acquisition and …, 2009 – ieeexplore.ieee.org Abstract—Word Sense Disambiguation (WSD) is a traditional AI-hard problem. An improvement of WSD would have a significant impact on applications such as knowledge acquisition, text mining, information extraction, etc. Lexical chain holds a set of … Cited by 8 Related articles All 7 versions

Multigraph representation for lexical chaining N Loukachevitch – Proceedings of SENSE workshop, 2009 – ceur-ws.org Abstract In this paper lexical cohesion modeling is considered. We argue that to model lexical cohesion in connected texts it is not enough to find related words in a text. It is important to take into account relations between entities participating in the described … Cited by 8 Related articles All 2 versions

Exploring resources for lexical chaining: A comparison of automated semantic relatedness measures and human judgments I Cramer, T Wandmacher, U Waltinger – Modeling, Learning, and …, 2012 – Springer Abstract In the past decade various semantic relatedness, similarity, and distance measures have been proposed which play a crucial role in many NLP-applications. Researchers compete for better algorithms (and resources to base the algorithms on), and often only … Cited by 9 Related articles All 12 versions

Subword lexical chaining for automatic story segmentation in Chinese broadcast news L Xie, Y Yang, J Zeng – … in Multimedia Information Processing-PCM 2008, 2008 – Springer Abstract We present a subword lexical chaining approach to automatic story segmentation of Chinese broadcast news (BN). Conventional lexical chains link related words with cohesion (eg repetition of words) and high concentration points of starting and ending chains are … Cited by 7 Related articles All 4 versions

Experiments on the Validation of Sense Annotations Assisted by Lexical Chains. R Navigli – EACL, 2006 – wwwusers.di.uniroma1.it Abstract It is widely recognized that the annotation of texts with senses from a computational lexicon is a complex and often subjective task. We propose the use of lexical chains, specifically semantic interconnections, to support validators in the difficult task of … Cited by 7 Related articles All 6 versions

Experiments on Lexical Chaining for German Corpora: Annotation, Extraction, and Application. IM Cramer, M Finthammer, A Kurek, L Sowa… – JLCL, 2008 – media.dwds.de Converting linear text documents into documents publishable in a hypertext environment is a complex task requiring methods for segmentation, reorganization, and linking. The HyTex project, funded by the German Research Foundation (DFG), aims at the development of … Cited by 6 Related articles All 11 versions

Unsupervised word sense disambiguation with lexical chains and graph-based context formalization R Ion, D ?tef?nescu – … Technology. Challenges for Computer Science and …, 2011 – Springer Abstract This paper presents an unsupervised word sense disambiguation (WSD) algorithm that makes use of lexical chains concept [6] to quantify the degree of semantic relatedness between two words. Essentially, the WSD algorithm will try to maximize this semantic … Cited by 5 Related articles All 7 versions

Lexical chains as document features D Jayarajan, D Deodhare, B Ravindran – 2008 – publications.cse.iitm.ac.in Document clustering and classi?cation is usually done by representing the documents using a bag of words scheme. This scheme ignores many of the linguistic and semantic features contained in text documents. We propose here an alternative representation for … Cited by 6 Related articles All 13 versions

Lexical chaining and word-sense-disambiguation R Nelken, SM Shieber – 2007 – dash.harvard.edu Lexical chains algorithms attempt to find sequences of words in a document that are closely related semantically. Such chains have been argued to provide a good indication of the topics covered by the document without requiring a deeper analysis of the text, and have … Cited by 5 Related articles All 8 versions

Using genetic algorithms with lexical chains for automatic text summarization M Berker – 2011 – cmpe.boun.edu.tr With the rapid increase in the amount of online text information, it became more important to have tools that would help users distinguish the important content. Automatic text summarization attempts to address this problem by taking an input text and extracting the … Cited by 6 Related articles All 5 versions

Question Answering for Machine Reading with Lexical Chain. L Cao, X Qiu, X Huang – CLEF (Notebook Papers/Labs/ …, 2011 – ims-sites.dei.unipd.it Abstract. Question answering for machine reading (QA4MR) is a task to understand the meaning communicated by a text. In this paper, we present our system in QA4MRE 1. The system follows the steps of reading comprehension as a language learner. Lexical chain … Cited by 4 Related articles All 4 versions

Automatic story segmentation using a Bayesian decision framework for statistical models of lexical chain features WK Lo, W Xiong, H Meng – Proceedings of the ACL-IJCNLP 2009 …, 2009 – dl.acm.org Abstract This paper presents a Bayesian decision framework that performs automatic story segmentation based on statistical modeling of one or more lexical chain features. Automatic story segmentation aims to locate the instances in time where a story ends and another … Cited by 4 Related articles All 13 versions

A lexical chain approach for update-style query-focused multi-document summarization J Li, L Sun – Information Retrieval Technology, 2008 – Springer Abstract In this paper we propose a novel chain scoring (chain selecting) method to enhance the performance of Lexical Chain algorithm in query-focused summarization and present an information filtering strategy to adapt Lexical Chain method to update-style … Cited by 4 Related articles All 7 versions

Using semantics in document representation: A lexical chain approach D Jayarajan – Department of Computer Science and Engineering …, 2009 – cse.iitm.ac.in ABSTRACT Automatic classification and clustering are two of the most common operations performed on text documents. Numerous algorithms have been proposed for this and invariably, all of these algorithms use some variation of the vector space model to … Cited by 5 Related articles All 5 versions

A New Lexical Chain Algorithm Used for Automatic Summarization. E Gonzàlez, MF Fort – CCIA, 2009 – books.google.com Abstract. Lexical chains are widely used as a representation of text for Natural Language Processing tasks. However, efficient algorithms for the construction of lexical chains often resort to local decisions. We propose a new algorithm for Lexical Chaining, based on a … Cited by 5 Related articles All 11 versions

Using Lexical Chains to Characterise Scientific Text WA Hollingsworth – 2008 – ethos.bl.uk My aim is to develop a computerised system that gives a (sight-impaired or sighted) user the ability to skim a scientific paper. Specifically, I use lexical chains (Morris and Hirst, 1991) to represent topics in text. I adapt existing lexical chain algorithms to scientific text, as … Cited by 3 Related articles

Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation. D Xiong, Y Ding, M Zhang, CL Tan – EMNLP, 2013 – hlt.suda.edu.cn Page 1. Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation Deyi Xiong1, Yang Ding2, Min Zhang1 and Chew Lim Tan2 … Page 8. Methodology Methodology: Using Lexical Chains decoder cohesion model lexical chains target chains … Cited by 8 Related articles All 10 versions

Lexical chains segmentation in summarization D Tatar, AD Mihis, GS Czibula – Symbolic and Numeric …, 2008 – ieeexplore.ieee.org Abstract In this paper we propose a new method of linear text segmentation based on lexical cohesion of a text. The usual steps (to compute the lexical chains according to relatedness criteria, to score the chains after different parameters, to select the strong chains, to obtain … Cited by 3 Related articles All 5 versions

Subword-based lexical chaining for automatic story segmentation in Chinese broadcast news [J] Y YANG, L XIE – Application Research of Computers, 2009 – en.cnki.com.cn This paper applied Chinese subword representations (character and syllable n-grams) into chaining-based automa-tic story segmentation of Chinese broadcast news. It showed the robustness of Chinese subwords against speech recognition errors, especially OOV (out … Cited by 2 Related articles

Lexical chaining process for text generations V Shanthi, S Lalitha – … Conference on Process Automation, Control and …, 2011 – infona.pl Lexical chains are defined as clusters of semantically related words. The Lexical chaining architecture integrates domain dependent statistical word associations into the chaining process. The statistical word associations represent an additional type of lexical cohesive … Cited by 2 Related articles All 2 versions

Event detection using lexical chain S Sangeetha, RS Thakur, M Arock – Advances in Natural Language …, 2010 – Springer Abstract This paper describes a new architecture for event detection from text documents. The proposed system correctly identifies the sentences that describe an event of interest to extract its participants. It follows an unsupervised method for identifying the lexical chains … Cited by 4 Related articles All 7 versions

Word Sense Disambiguation and Lexical Chains Construction Using Wordnet CG Chiru, A Janca, T Rebedea – Natural language processing in …, 2010 – academia.edu Abstract. Word sense disambiguation is an essential, yet a very difficult task in natural language processing. While several other NLP tasks, such as POS tagging, can provide more than fairly good results (highly accurate, with almost 100% rate of successfully … Cited by 2 Related articles All 6 versions

UNN-WePS: web person search using co-present names and lexical Chains J Ellman, G Emery – Proceedings of the 4th International Workshop on …, 2007 – dl.acm.org Abstract We describe a system, UNN-WePS for identifying individuals from web pages using data from Semeval Task 13. Our system is based on using co-presence of person names to form seed clusters. These are then extended with pages that are deemed conceptually … Cited by 2 Related articles All 16 versions

Semantic Document Classification using Lexical Chaining & Fuzzy Approach U Pandey, S Chakraverty, B Juneja, A Arora… – International Journal of …, 2011 – ijsce.org Abstract: We propose a novel approach to classify documents into different categories using lexical chaining. In this paper we present a text categorization technique that extracts lexical features of words occurring in a document. Two kinds of lexical chains based on the … Cited by 2 Related articles All 2 versions

Predicting thread linking structure by lexical chaining L Wang, D McCarthy, T Baldwin – Proceedings of the Australasian …, 2011 – aclweb.org Abstract Web user forums are valuable means for users to resolve specific information needs, both interactively for participants and statically for users who search/browse over historical thread data. However, the complex structure of forum threads can make it difficult … Cited by 3 Related articles All 17 versions

Text Segmentation Using Roget-Based Weighted Lexical Chains D Tatar, D Inkpen, G Czibula – Computing and Informatics, 2013 – cai.sk Abstract In this article we present a new method for text segmentation. The method relies on the number of lexical chains (LCs) which end in a sentence, which begin in the following sentence and which traverse the two successive sentences. The lexical chains are based … Cited by 2 Related articles All 3 versions

Multi-topical discussion summarization using structured lexical chains and cue words J Hatori, A Murakami, J Tsujii – Computational Linguistics and Intelligent …, 2011 – Springer Abstract We propose a method to summarize threaded, multi-topical texts automatically, particularly online discussions and e-mail conversations. These corpora have a so-called reply-to structure among the posts, where multiple topics are discussed simultaneously … Cited by 2 Related articles All 5 versions

A semantic approach for text clustering using WordNet and lexical chains T Wei, Y Lu, H Chang, Q Zhou, X Bao – Expert Systems with Applications, 2015 – Elsevier Abstract Traditional clustering algorithms do not consider the semantic relationships among words so that cannot accurately represent the meaning of documents. To overcome this problem, introducing semantic information from ontology such as WordNet has been … Cited by 6 Related articles All 4 versions

Alexia-acquisition of lexical chains for text summarization C Santos – 2006 – apaz-ati.persiangig.com Abstract Text summarization is one of the more complex challenges of Natural Language Processing (NLP). It is the process of distilling the most important information from a source to produce an extract or abstract with a very specific purpose: to give the reader an exact … Cited by 3 Related articles All 2 versions

Web-based dynamic learning through lexical chaining: a step forward towards knowledge-driven education A Shaban-Nejad, V Haarslev – ACM SIGCSE Bulletin, 2008 – dl.acm.org Abstract In this paper we report on our experience using a linguistic technique, called lexical chaining, in assisting the dynamic hierarchical learning of sequentially accessible information for both human and software agents. Cited by 1 Related articles All 6 versions

Document-level Machine Translation Evaluation Metrics Enhanced with Simplified Lexical Chain Z Gong, G Zhou – Natural Language Processing and Chinese Computing, 2015 – Springer Abstract Document-level Machine Translation (MT) has been drawing more and more attention due to its potential of resolving sentencelevel ambiguities and inconsistencies with the benefit of wide-range context. However, the lack of simple yet effective evaluation … Cited by 1

Research on Chinese web relevance evaluation based on lexical chains G Qi, X Yang, L Wang, G Lin – Robotics and Applications (ISRA …, 2012 – ieeexplore.ieee.org Abstract-Web relevance is one of the important indicators to reflect website characteristics from the semantic perspective. To users and constructors of the website, whether web relevance is good or not will affect their use and construction of the website. This paper … Cited by 1 Related articles All 2 versions

A keyword extraction method based on lexical chains X Jiang – Advances in Computation and Intelligence, 2008 – Springer Abstract A lexical-chain-based keywords extraction method from Chinese texts is proposed in this paper, and an algorithm for constructing lexical chains based on HowNet knowledge database is given in the method, lexical chains are firstly constructing by calculating he … Cited by 2 Related articles All 6 versions

Discourse coherence: lexical chain, complex network and semantic field M Zhang, H Yang, D Ji, C Teng, H Wu – Chinese Lexical Semantics, 2013 – Springer Abstract Discourse coherence is one of the most essential and challenging topics in theoretical linguistics and computational linguistics. Complex network has found its initial application in discourse coherence analysis. We survey the corresponding work related to … Cited by 1 Related articles All 3 versions

Document clustering using lexical chains D Jayarajan, D Deodhare, B Ravindran – 2007 – publications.cse.iitm.ac.in Document Clustering is an unsupervised categorization of documents based on the contents of the documents. Numerous algorithms have been proposed for this and invariably, all of these algorithms use some variation of the vector space model to represent the … Cited by 1 Related articles

Analysis of lexical Chains and Coherence in a Children’s and News Story M Torrecilla – Zona Próxima, 2011 – rcientificas.uninorte.edu.co Resumen Este artículo tiene como objetivo encontrar cadenas lexicales en dos textos, un cuento infantil y una noticia, y ver como dichos textos crean coherencia. En este estudio las cadenas fueron seleccionadas bajo el criterio de que sus miembros estuvieran semántica … Cited by 2 Related articles All 6 versions

An Exercise in Reuse of Resources: Adapting General Discourse Coreference Resolution for Detecting Lexical Chains in Patent Documentation N Bouayad-Agha, A Burga, G Casamayor… – Proceedings of LREC- …, 2014 – lrec-conf.org Abstract The Stanford Coreference Resolution System (StCR) is a multi-pass, rule-based system that scored best in the CoNLL 2011 shared task on general discourse coreference resolution. We describe how the StCR has been adapted to the specific domain of patents … Cited by 1 Related articles

Three Knowledge-Free Methods for Automatic Lexical Chain Extraction. S Remus, C Biemann – HLT-NAACL, 2013 – aclweb.org Abstract We present three approaches to lexical chaining based on the LDA topic model and evaluate them intrinsically on a manually annotated set of German documents. After motivating the choice of statistical methods for lexical chaining with their adaptability to … Cited by 1 Related articles All 16 versions

A protocol for constructing a domain-specific ontology for use in biomedical information extraction using lexical-chaining analysis X He – 2007 – uwspace.uwaterloo.ca In order to do more semantics-based information extraction, we require specialized domain models. We develop a hybrid approach for constructing such a domain-specific ontology, which integrates key concepts from the protein-protein–interaction domain with the Gene … Cited by 1 Related articles All 2 versions

An investigation of word sense disambiguation for improving lexical chaining M Enss – 2006 – uwspace.uwaterloo.ca This thesis investigates how word sense disambiguation affects lexical chains, as well as proposing an improved model for lexical chaining in which word sense disambiguation is performed prior to lexical chaining. A lexical chain is a set of words from a document that … Cited by 1 Related articles All 6 versions

Effect of an Unsupervised Approach using Lexical Chains On Word Sense Disambiguation N Mishra – BOOK OF ABSTRACTS OF THE 23RD MEETING OF …, 2013 – hmi.ewi.utwente.nl This paper investigates the effect of stop word removal and lexical chains on word sense disambiguation for English and Hindi language. The evaluation has been done on a manually created corpus for nouns including their sense definitions. They are taken from … All 3 versions

Research on Topic Segmentation of Chinese Text Based on Lexical Chain Y Fei-Yue, C Yan, L Xiangfeng, T Haibo… – … (CIT), 2012 IEEE …, 2012 – ieeexplore.ieee.org Abstract: Migration of the central idea of sub-theme content sufficiently reflects development of the idea of an article. The main purpose of topic segmentation is to identify the boundary between sub-themes. Accurate topic segmentation is of great value to many natural … Related articles All 5 versions

CS65: An NLTK Package for Lexical-Chain Based Word Sense Disambiguation M Augat, M Ladlow – researchgate.net Abstract This study attempts to perform word sense disambiguation (WSD) using lexical chains, sets of semantically related words. The system uses the semantic relations defined in WordNet to determine whether two words are similar. We assume that words will be … Related articles All 2 versions

Retrieval Based on Lexical Chains in Q & A System ZJDU Yong-ping – Computer Science, 2013 – en.cnki.com.cn Question Answering System (QA) allows users to ask question in natural language. Using natural language processing technology, QA returns answer to the user automatically. The paper used WordNet to construct lexical chains, and used the lexical chain in a question … Related articles

A Novel Approach Towards Automatic Text Summarization Using Lexical Chains S Katiyar, SK Borgohain – ijritcc.org Abstract—Text summarization is a process of extracting text by virtue of reduction of document contents while preserving the salient information intact. By using different set of parameters like position, format and type of sentences in an input text, frequency of words …

[BOOK] Lexical chains and their natural language processing applications TN Erekhinskaya – 2012 – gradworks.umi.com Abstract: Many Natural Language Processing applications need to establish relations between words. Some of these relations are provided in lexical resources like WordNet and its extensions. The research in this thesis focuses on finding the semantic connectivity …

Ontology Self-Perfect Based Lexical Chain for IE R Gao, Y Zhang, H Deng, J Si… – Applied Mechanics and …, 2014 – Trans Tech Publ Abstract The perfection of an ontology knowledge base is essential to the research of ontology-based information extraction (IE). Information extraction in short documents with sparse vocabularies in the ontology will cause the problem of semantic deviation. That will … Related articles All 3 versions

Lexical Chains (for Summmarization) M Strube – michael.kimstrube.de A text or discourse is not just a set of sentences, each on some random topic. Rather, the sentences and phrases of any sensible text will each tend to be about the same things–that is, the text will have a quality of unity. This is the property of cohesion…. Related articles

Automatic Text Generations using Lexical Chaining V Shanthi, S Lalitha – Artificial Intelligent Systems and Machine …, 2011 – ciitresearch.org Abstract Lexical chains are defined as clusters of semantically related words. For the Text Generation the lexical chain are very important and the lexical chains are created using the WordNet database. The aim of this paper is to finds the new relation such as statistical … Related articles

Computational Models of Discourse: Lexical Chains; Centering Theory C Sporleder – 2009 – coli.uni-saarland.de The unexpected discovery was made during experiments intended to find out exactly how long spiders can survive underwater–a number of spiders and insects have long been known to be resistant to drowning. In particular, researchers wanted to determine whether … All 3 versions

Adding Lexical Chain to Keyphrase Extraction Z Li, B He – … System and Application Conference (WISA), 2014 …, 2014 – ieeexplore.ieee.org Abstract—Keyphrase extraction is widely used in information retrieval, automatic summarizing, text clustering, etc. KEA is a traditional and classical algorithm. But it mainly uses the statistical information and ignores the semantic information. In our paper, we … Related articles

Dynamic Display of Text using Lexical Chains ASB Moghaddam – 2008 – dspace.fsktm.um.edu.my With the advent of digitization of text documents and digital communication technologies, an enormous quantity of information can be stored and transferred. However, digesting this huge amount of information is becoming an increasingly difficult task due to the time … Related articles All 2 versions

Text Categorization using Lexical Chains O Hazai – 2006 – Citeseer Text Categorization is defined as the assignment of natural language texts to one or more predefined categories based on their content. It is an important component in many information organization and management tasks. In many contexts, trained professionals … Related articles

Automatic Construction of Topic Maps Based on Lexical Chain—Using Aviation Safety Knowledge Base as a Case HC Wang, JL Guo – Citeseer Abstract With the accelerating accumulation of digitalized and textual aviation-incident investigation reports and documents, it has increased the complexity for precisely retrieving relevant information from the overloading materials and also this situation has become … Related articles

Tool Support for Content Summarization Based on Lexical Chain Approach OO Olugbara, JO Daramola… – … Science and Its …, 2007 – eprints.covenantuniversity.edu.ng ltrclc lll’unc implementation tirc belonged sarnple shown ilrc uralal’tt’ ocictlion irttt ACS thg ltcnt contribute electronic irl reiationsirrp ‘cl’ litcrrilr tantj’gf arc establishecl percentagc conrputcr 116iil improveltletrt sigirilicantl carriecl malapropisrn kincl autornatic rur elhadod inrnrediatcl … All 2 versions

Lexical cohesion, lexical chaining, and its applications S Deshpande – researchgate.net Abstract Subsequent to the introduction of lexical chaining for discourse analysis by Morris and Hirst (1991), the lexical chaining has become one of the basic techniques to address various problems in text analysis. The technique has been put to test in different …

Extraction Method of Chinese Short Message Text Lexical Chain Based on HowNet JL Liu, D Liu, H Zhou – Computer Engineering, 2012 – en.cnki.com.cn This paper proposes a extraction method of Chinese short message text lexical chain based on HowNet. Information of context lexical item are given using same semantic class according to HowNet semantic relations. By constructing lexical chains or each, and some … Related articles All 2 versions

Emotion Detection using Lexical Chains MN Kumar, R Suresh – International Journal of Computer Applications, 2012 – Citeseer ABSTRACT Emotion detection has become an indispensable task in Natural Language Processing (NLP) in recent times. Emotion detection has been done using various knowledge based and corpus based methods. In this paper, we propose a methodology … Related articles All 3 versions

Word Sense Induction Using Lexical Chain based Hypergraph Model T Qian, D Ji, M Zhang, C Teng, C Xia – aclweb.org Abstract Word Sense Induction is a task of automatically finding word senses from large scale texts. It is generally considered as an unsupervised clustering problem. This paper introduces a hypergraph model in which nodes represent instances of contexts where a … Cited by 1 Related articles All 4 versions

The Topic Tracking Based on Semantic Similarity of Sememe’s Lexical Chain J Ma, F Wu, C Li – 2014 2nd International Conference on …, 2014 – atlantis-press.com Abstract—In method of Semantic similarity calculating, the major is based on VSM (Vector Space Model). It has aroused significant research attention in recent years due to its advantage in topic tracking. In this paper a modified VSM, namely Semantic Vector Space … Related articles All 2 versions

Adopting Domain Knowledge to Enhance Lexical Chain for Unsupervised Word Sense Disambiguation WJ Lee, E Mit – International Conference on …, 2011 – ebooks.asmedigitalcollection.asme. … This paper represents an idea of integrating approaches for disambiguating the word sense of a text. It combines two knowledge sources of Word Sense Disambiguation (WSD) approaches so that a better approach to be introduced to WSD research area. The Lexical … Related articles All 4 versions

A Chinese QA system based on lexical chain Z Wang, Y Zheng – Machine Learning and Cybernetics, 2008 …, 2008 – ieeexplore.ieee.org Abstract: Most technologies of Chinese Question Answering System didn’t make full use of the semantic information. This paper introduces an idea of building QA System based on lexical chain. The approach is to build lexical chains between question and the candidate … Related articles All 3 versions

Semantically Driven Soft-clustering of Documents using Lexical Chains D Deodhare, G Sharma, A Srivastava, A Sharma… – ltrc.iiit.ac.in Abstract Automatic document clustering is one of the important operations performed on text documents. Most clustering algorithms put each data point (here, document) into one cluster. In the real world, each document contains multiple themes which cannot be detected by … Related articles All 3 versions

Extraction Algorithm Based on Semantic Expansion Integrated with Lexical Chain D LIU, L WANG – Computer Science, 2013 – en.cnki.com.cn For the difficulties that affect the quality of keywords extraction, such as the phenomenon of polysemy, synonyms as well as the accurate and comprehensive expression of the subjects in the text, a method named KESELC based on the semantics of keyword extraction was … Related articles

Applying A Lightweight Chinese Lexical Chain Processing In Web Image Annotation CM Huang – Proceedings of the International Conference on Image …, 2014 – world-comp.org Abstract-Traditional CBIR method relies on visual features to identify objects in an image and uses predefined terms to annotate images, thus it fails to depict the implicit meanings. Recent textual-based analysis methods only focus on single term processing thereafter … Related articles All 2 versions

Improvement of KEA Based on Lexical Chain ZF Li, XH Zhao, J Yi, B He – Advanced Materials Research, 2013 – Trans Tech Publ Abstract Keyphrases are very useful and significant for information retrieval, automatic summarizing, text clustering, etc. KEA is a traditional and classical algorithm in keyphrase automatic extraction. But it is mainly based on the statistical information without … Related articles All 3 versions

Automatic Document Mapping and Relations Building Using Domain Ontology-Based Lexical Chains MA Angrosh, SR Urs – Digital Libraries: Universal and Ubiquitous Access …, 2008 – Springer Abstract The paper describes ontology-based information retrieval system developed from titles of Electronic Theses and Dissertations (ETDs) for Vidyanidhi Digital Library. The paper also advances the notion of domain ontology-based lexical chain for automatic … Related articles All 8 versions

Dual lexical chaining for context based text classification S Chakraverty, B Juneja, U Pandey… – … on Advances in, 2015 – ieeexplore.ieee.org Abstract—Text Classification enhances the accessibility and systematic organization of the vast reserves of data populatingthe world-wide-web. Despite great strides in the field, the domain of context driven text classification provides fresh opportunities to develop more …

Multi-Document Text Summarization Using Clustering Techniques And Lexical Chaining S Saraswathi, R Arti – ictactjournals.in Abstract This paper investigates the use of clustering and lexical chains to produce coherent summaries of multiple documents in text format to generate an indicative, less redundant summary. The summary is designed as per user’s requirement of conciseness ie, the … Related articles

Keywords extraction algorithm based on semantic dictionary and lexical chain D LIU, L WANG – Journal of Zhejiang University of Technology, 2013 – en.cnki.com.cn Keyword extraction is one of the key techniques in text mining. Focusing on the difficulties affecting the quality of keywords extraction, such as the phenomenon of polysemy, synonyms as well as the accurate and comprehensive expression of the subjects in the … Related articles

Not As Easy As It Seems: Automating the Construction of Lexical Chains Using Roget’s Thesaurus M Jarmasz, S Szpakowicz – arXiv preprint arXiv:1204.0257, 2012 – arxiv.org Abstract: Morris and Hirst present a method of linking significant words that are about the same topic. The resulting lexical chains are a means of identifying cohesive regions in a text, with applications in many natural language processing tasks, including text summarization … Related articles All 6 versions

Lexical Chaining for Measuring Discourse Coherence Quality in Test-taker Essays S Somasundaran, J Burstein, M Chodorow – anthology.aclweb.org Abstract This paper presents an investigation of lexical chaining (Morris and Hirst, 1991) for measuring discourse coherence quality in test-taker essays. We hypothesize that attributes of lexical chains, as well as interactions between lexical chains and explicit discourse … Cited by 2 Related articles All 8 versions

Topic Segmentation of Meetings Using Lexical Chains F Adarve, H Kwong, M Speriosu – 2007 – Citeseer Abstract Topic segmentation attempts to divide a document into segments, where each segment corresponds to a particular discourse topic. Lexical chains are a disambiguation tool often used for text summarization, and more recently in topic segmentation. A lexical … Related articles All 4 versions

A Prototype System using Lexical Chains for Web Images Retrieval Based on Text Description and Visual Features KV Ramana, C Palaparthi, MB Mula… – International Journal on …, 2012 – core.ac.uk Abstract–Content Based Image Retrieval, in the current scenario has not been analyzed adequate in the existing system. Here, we implement a prototype system for web based image retrieval. The system is based on description of images by lexical chains which are … Related articles All 3 versions

Comparison between LSA-LDA-Lexical Chains C Chiru, T Rebedea, S Ciotec – files.ifi.uzh.ch Abstract: This paper presents an analysis of three techniques used for similar tasks, especially related to semantics, in Natural Language Processing (NLP): Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA) and lexical chains. These techniques … Related articles All 3 versions

Using Frame-based Lexical Chains for Extracting Key Points from Texts S Mohamadi, K Badie, A Moeini – 2011 – researchgate.net Abstract—In last years, many automatic systems have been designed for text summarization and extracting key phrases, but still no system has been suggested for extracting key points. According to our definition, key points are high-level concepts extractable from a text that … Related articles