Context-based Entity-centric Information Retrieval Model
Analysing entity context in multilingual Wikipedia to support entity centric retrieval applications
... language-specific entity aspects as well as divergent views on these entities in different ...specific entity contexts can provide a better overview of the existing aspects and support ...
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Multi step Entity centric Information Retrieval for Multi Hop Question Answering
... our model is a standard IR system that takes in a natural language query ‘Q’ and re- turns an initial set of ...IR model. We as- sume that all spans of entity mentions have been identified in the ...
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Retrieval, crawling and fusion of entity-centric data on the web
... Applied to the set of all available linked dataasets, experiments show supe- rior performance compared to three simple baselines, namely based on shared key-words, shared topics, and shared common links, achieving ...
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Latent word context model for information retrieval
... Latent context models of words As we mentioned earlier, a critical problem using a word-based context representation is its sparsity: similar contexts can be represented by different ...similar ...
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Information Retrieval and Context Based Document Summarization Using Vector Space Model
... text retrieval, a term weight is treated as the probability of relevance of a document to a query, conditioned on the presence of that term in the ...text retrieval, in which the presence or absence of a ...
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Entity based Q&A Retrieval
... word based expansion in a context agnostic manner resulting in translation that might be mixed and fairly ...word based translation model to incor- porate semantic concepts ...popular ...
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What's new? Analysing language-specific Wikipedia entity contexts to support entity-centric news retrieval.
... proposed context creation approaches for named entities, and used language-specific contexts to support entity-centric information re- ...of context creation including the Article- ...
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What's new? Analysing language specific Wikipedia entity contexts to support entity centric news retrieval
... proposed context creation approaches for named entities, and used language-specific contexts to support entity-centric information re- ...of context creation including the Article- ...
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A Context-Adaptive Ranking Model for Effective Information Retrieval System
... search context, the students’ interactions with the search engine back end prototype were logged via the system log in menu with their "student identification ...matching based querying across a ...
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Adapting an Entity Centric Model for Portuguese Coreference Resolution
... Keywords: Coreference Resolution, Information Extraction, Rule-based Models 1. Introduction Coreference resolution is a well known challenge in computational linguistics. While we could imagine that it is ...
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An Information Retrieval Model Based On Word Concept
... Keywords: Information Retrieval, Word Concept, Sentence Category, Auto-threshold detection clustering method 1 Introduction Searching in archives of documents becomes increasingly frequent for most of ...
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Entity Centric Information Access with Human in the Loop for the Biomedical Domain
... to model a certain domain without taking into ac- count specific needs of certain ...is based on the author of the ontology, not on the user, and the knowledge is not ...shortcoming: entity graphs ...
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Evolution of Information Retrieval System: Critical Review of Multimedia Information Retrieval System Based On Content, Context, and Concept
... text retrieval needs many resources and has to develop document corpus and BoW and Concept ...text-based retrieval followed concept-based retrieval ...
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Term Context Models for Information Retrieval
... estimated based on expected ...of context”, as trained on the collection as a ...The model may assign a low context score even if the tf of that term is ...
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Term Context Models for Information Retrieval
... estimated based on expected ...of context”, as trained on the collection as a ...The model may assign a low context score even if the tf of that term is ...
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SQUIRREL: DBS-based Information Retrieval System For The WWW With Context Graphs
... space model the Squirrel prototype provides semantic di erentiation within the document collection organizing chunks in a context ...the context of programming languages. The context structure ...
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Domain-sensitive Temporal Tagging for Event-centric Information Retrieval
... temporal information is a crucial aspect of events in sensor ...this context are typically not extracted form textual data so that natural language processing is not ...performed based on a dynamic ...
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Smart information retrieval: Domain knowledge centric optimization approach
... into information retrieval has become one of the important research themes in the Internet oriented data science ...In information retrieval, machine- learning techniques have been widely ...
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Smart information retrieval: domain knowledge centric optimization approach
... into information retrieval has become one of the important research themes in the Internet oriented data science ...In information retrieval, machine- learning techniques have been widely ...
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MEmbER: Max-Margin Based Embeddings for Entity Retrieval
... no information is given about where in the country each mountain is ...for information retrieval systems, it is particularly acute in this context, when we want to include criteria that are ...
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