Query expansion

A popular query from scientists reading a biomedical abstract is to search for topic-related documents in bibliographic databases. Such a query is challenging because the amount of information attached to a single abstract is little, whereas classification-based retrieval algorithms are optimally trained with large sets of relevant documents.

12p viwyoming2711 16-12-2020 13 1   Download

Biomedical literature retrieval is becoming increasingly complex, and there is a fundamental need for advanced information retrieval systems. Information Retrieval (IR) programs scour unstructured materials such as text documents in large reserves of data that are usually stored on computers.

12p vioklahoma2711 19-11-2020 15 2   Download

The query language will be in English and documents will be retrieved from Marathi documents collection. English query translation will be done dictionary based approach. To improve performance of the proposed system, query expansion using WordNet and pre-processing techniques will be employed to get good precision and recall.

5p hongnhan878 12-04-2019 16 0   Download

This paper proposes a method to overcome the drawbacks of WordNet when applied to information retrieval by complementing it with Roget's thesaurus and corpus-derived thesauri. Words and relations which are not included in WordNet can be found in the corpus-derived thesauri. Effects of polysemy can be minimized with weighting m e t h o d considering all query terms and all of the thesauri. Experimental results show that our method enhances information retrieval performance significantly.

8p bunthai_1 06-05-2013 45 3   Download

The paper presents a multi-document summarization system which builds companyspecific summaries from a collection of financial news such that the extracted sentences contain novel and relevant information about the corresponding organization. The user’s familiarity with the company’s profile is assumed. The goal of such summaries is to provide information useful for the short-term trading of the corresponding company, i.e., to facilitate the inference from news to stock price movement in the next day. We introduce a novel query (i.e.

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We discuss a seml-interactive approach to information retrieval which consists of two tasks performed in a sequence. First, the system assists the searcher in building a comprehensive statement of information need, using automatically generated topical summaries of sample documents.

7p bunrieu_1 18-04-2013 54 2   Download

A layered approach to information retrieval permits the inclusion of multiple search engines as well as multiple databases, with a natural language layer to convert English queries for use by the various search engines. The NLP layer incorporates morphological analysis, noun phrase syntax, and semantic expansion based on WordNet.

7p bunrieu_1 18-04-2013 34 3   Download

This paper attempts to analyze and bound the utility of various structured and unstructured resources in Question Answering, independent of a specific system or component. We quantify the degree to which gazetteers, web resources, encyclopedia, web documents and web-based query expansion can help Question Answering in general and specific question types in particular.

4p bunbo_1 17-04-2013 37 2   Download

We present an approach to query expansion in answer retrieval that uses Statistical Machine Translation (SMT) techniques to bridge the lexical gap between questions and answers. SMT-based query expansion is done by i) using a full-sentence paraphraser to introduce synonyms in context of the entire query, and ii) by translating query terms into answer terms using a full-sentence SMT model trained on question-answer pairs.

8p hongvang_1 16-04-2013 43 1   Download

We present BAYE S UM (for “Bayesian summarization”), a model for sentence extraction in query-focused summarization. BAYE S UM leverages the common case in which multiple documents are relevant to a single query. Using these documents as reinforcement for query terms, BAYE S UM is not afflicted by the paucity of information in short queries. We show that approximate inference in BAYE S UM is possible on large data sets and results in a stateof-the-art summarization system.

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Query expansion is an effective technique to improve the performance of information retrieval systems. Although hand-crafted lexical resources, such as WordNet, could provide more reliable related terms, previous studies showed that query expansion using only WordNet leads to very limited performance improvement. One of the main challenges is how to assign appropriate weights to expanded terms.

9p hongphan_1 15-04-2013 35 1   Download

Query expansion by word alterations (alternative forms of a word) is often used in Web search to replace word stemming. This allows users to specify particular word forms in a query. However, if many alterations are added, query traffic will be greatly increased. In this paper, we propose methods to select only a few useful word alterations for query expansion. The selection is made according to the appropriateness of the alteration to the query context (using a bigram language model), or according to its expected impact on the retrieval effectiveness (using a regression model).

8p hongphan_1 15-04-2013 32 1   Download

User generated content is characterized by short, noisy documents, with many spelling errors and unexpected language usage. To bridge the vocabulary gap between the user’s information need and documents in a specific user generated content environment, the blogosphere, we apply a form of query expansion, i.e., adding and reweighing query terms. Since the blogosphere is noisy, query expansion on the collection itself is rarely effective but external, edited collections are more suitable.

9p hongphan_1 14-04-2013 45 2   Download

Bag-of-words approaches to information retrieval (IR) are effective but assume independence between words. The Hyperspace Analogue to Language (HAL) is a cognitively motivated and validated semantic space model that captures statistical dependencies between words by considering their co-occurrences in a surrounding window of text.

6p hongdo_1 12-04-2013 45 2   Download

Finally, the HPDD sheds light on one of the leading issues of the day: the relationship between debt and growth. Separating countries into fast-, medium-, or slow–paced growers over 1885–2009, we find an intuitive pattern. 15 Fast growers consistently registered low debt ratios, while slow growers carried the highest debts for much of the sample period (Figure 7, upper panel). Further light is shed on the debt-growth relationship by a bubble chart that compares debt ratios and (total) PPP GDP (Figure 7, lower panel).

12p yasuyidol 02-04-2013 65 4   Download

After initial retrieval results are presented, allow the user to provide feedback on the relevance of one or more of the retrieved documents. Use this feedback information to reformulate the query. Produce new results based on reformulated query. Allows more interactive, multi-pass process.

34p phuocvubk 26-02-2013 47 4   Download