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"... Abstract -Sentiment Analysis is an emerging field in Natural Language Processing (NLP) with very interesting application such as opinion mining, Opinion Summarization, Market Analysis. Sentiment Classifier trained for a single domain when used to classify reviews on a different domain results in po ..."
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in poor performance. To overcome the problem in single domain classification, Sentiment Sensitive distributional thesaurus is created using unlabeled data for both source and target domains. A Binary Classifier was constructed using reviews to classify the SST as a positive and negative review
A Novel Combined Term Suggestion Service for DomainSpecific Digital Libraries
- Research and Advanced Technology for Digital Libraries
, 2011
"... Abstract. Interactive query expansion can assist users during their query formulation process. We conducted a user study with over 4,000 unique visitors and four different design approaches for a search term suggestion service. As a basis for our evaluation we have implemented services which use thr ..."
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Cited by 8 (2 self)
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three different vocabularies: (1) user search terms, (2) terms from a terminology service and (3) thesaurus terms. Additionally, we have created a new combined service which utilizes thesaurus term and terms from a domain-specific search term recommender. Our results show that the thesaurus-based method
Lexical Substitution for the Medical Domain
"... In this paper we examine the lexical substitu-tion task for the medical domain. We adapt the current best system from the open domain, which trains a single classifier for all instances using delexicalized features. We show sig-nificant improvements over a strong baseline coming from a distributiona ..."
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In this paper we examine the lexical substitu-tion task for the medical domain. We adapt the current best system from the open domain, which trains a single classifier for all instances using delexicalized features. We show sig-nificant improvements over a strong baseline coming from a
Adaptive string similarity metrics for biomedical reference resolution
- In Proceedings of BioLink 2005
, 2005
"... In this paper we present the evaluation of a set of string similarity metrics used to resolve the mapping from strings to concepts in the UMLS MetaThesaurus. String similarity is conceived as a single component in a full Reference Resolution System that would resolve such a mapping. Given this quali ..."
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Cited by 5 (1 self)
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In this paper we present the evaluation of a set of string similarity metrics used to resolve the mapping from strings to concepts in the UMLS MetaThesaurus. String similarity is conceived as a single component in a full Reference Resolution System that would resolve such a mapping. Given
Query Based Arabic Text Summarization 1
"... With the problem of increased web resources and the huge amount of information available, the necessity of having automatic summarization systems appeared. Since summarization is needed the most in the process of searching for information on the web, where the user aims at a certain domain of intere ..."
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, Arabic text, single document summarization using an existing Arabic language thesaurus and an extracted knowledge base. We use an Arabic corpus to extract domain knowledge represented by topic related concepts/ keywords and the lexical relations among them. The user’s query is expanded once by using
Automatic Ontology Extraction from Unstructured Texts
- In R. Meersman and Z. Tari (eds) On the Move to Meaningful Internet Systems - ODBASE 2005
, 2005
"... Abstract. Construction of the ontology of a specific domain currently relies on the intuition of a knowledge engineer, and the typical output is a thesaurus of terms, each of which is expected to denote a concept. Ontological ‘engineers’ tend to hand-craft these thesauri on an ad-hoc basis and on a ..."
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Cited by 9 (3 self)
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Abstract. Construction of the ontology of a specific domain currently relies on the intuition of a knowledge engineer, and the typical output is a thesaurus of terms, each of which is expected to denote a concept. Ontological ‘engineers’ tend to hand-craft these thesauri on an ad-hoc basis and on a
IOS Press Europeana Linked Open Data –
"... Europeana is a single access point to millions of books, paintings, films, museum objects and archival records that have been digitized throughout Europe. The data.europeana.eu Linked Open Data pilot dataset contains open metadata on approximately 2.4 million texts, images, videos and sounds gathere ..."
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Europeana is a single access point to millions of books, paintings, films, museum objects and archival records that have been digitized throughout Europe. The data.europeana.eu Linked Open Data pilot dataset contains open metadata on approximately 2.4 million texts, images, videos and sounds
but especially since then, there has been a great deal of effort in (semi-
, 2013
"... Abstract It has long been a dream to have available a single, centralized, semantic thesaurus or terminology taxonomy to support research in a variety of fields. Much human and computational effort has gone into constructing such resources, including the original WordNet and subsequent wordnets in v ..."
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Abstract It has long been a dream to have available a single, centralized, semantic thesaurus or terminology taxonomy to support research in a variety of fields. Much human and computational effort has gone into constructing such resources, including the original WordNet and subsequent wordnets
Probabilistic Lexical Generalization for French Dependency Parsing
"... This paper investigates the impact on French dependency parsing of lexical generalization methods beyond lemmatization and morphological analysis. A distributional thesaurus is created from a large text corpus and used for distributional clustering and WordNet automatic sense ranking. The standard a ..."
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Cited by 1 (0 self)
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on the French Treebank and two out-of-domain treebanks, with slightly better performance for the probabilistic lexical generalization approach compared to the standard single-mapping approach. 1
Abstract HYKIS- An Information Retrieval System based on a Hybrid Knowledge base*
"... This paper aims at developing a knowledge-based infor-mation retrieval system that allows a naive user to re-trieve relevant documents effectively, without any help of a domain expert. For this, it develops a hybrid knowl-edge base that lets most of heuristics be represented in a simple and structur ..."
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and structured manner. As knowledge is usually categorized by domain independent and domain dependent one, it separates the store of the knowledge into two bases: domain independent knowledge base (Ibase) and domain dependent knowledge base (Dbase). Ibase is used as a graph-based thesaurus that permits “ is
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