-
Paice, C.D.: Automatic abstracting (1994)
0.08
0.07640362 = product of:
0.15280724 = sum of:
0.054143958 = weight(_text_:library in 917) [ClassicSimilarity], result of:
0.054143958 = score(doc=917,freq=4.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.4108404 = fieldWeight in 917, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.078125 = fieldNorm(doc=917)
0.098663285 = product of:
0.19732657 = sum of:
0.19732657 = weight(_text_:project in 917) [ClassicSimilarity], result of:
0.19732657 = score(doc=917,freq=8.0), product of:
0.21156175 = queryWeight, product of:
4.220981 = idf(docFreq=1764, maxDocs=44218)
0.050121464 = queryNorm
0.9327138 = fieldWeight in 917, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
4.220981 = idf(docFreq=1764, maxDocs=44218)
0.078125 = fieldNorm(doc=917)
0.5 = coord(1/2)
0.5 = coord(2/4)
- Abstract
- The final report of the 2nd British Library abstracting project (the BLAB project), 1990-1992, which was carried out partly at the Computing Department of Lancaster University, and partly at the Centre for Computational Linguistics, UMIST. This project built on the results of the first project, of 1985-1987, to build a system designed create abstracts automatically from given texts
- Imprint
- London : British Library
-
Gomez, J.; Allen, K.; Matney, M.; Awopetu, T.; Shafer, S.: Experimenting with a machine generated annotations pipeline (2020)
0.05
0.049779683 = product of:
0.09955937 = sum of:
0.068930924 = weight(_text_:digital in 657) [ClassicSimilarity], result of:
0.068930924 = score(doc=657,freq=2.0), product of:
0.19770671 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.050121464 = queryNorm
0.34865242 = fieldWeight in 657, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.0625 = fieldNorm(doc=657)
0.030628446 = weight(_text_:library in 657) [ClassicSimilarity], result of:
0.030628446 = score(doc=657,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.23240642 = fieldWeight in 657, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.0625 = fieldNorm(doc=657)
0.5 = coord(2/4)
- Abstract
- The UCLA Library reorganized its software developers into focused subteams with one, the Labs Team, dedicated to conducting experiments. In this article we describe our first attempt at conducting a software development experiment, in which we attempted to improve our digital library's search results with metadata from cloud-based image tagging services. We explore the findings and discuss the lessons learned from our first attempt at running an experiment.
-
Goh, A.; Hui, S.C.: TES: a text extraction system (1996)
0.05
0.048046995 = product of:
0.09609399 = sum of:
0.068930924 = weight(_text_:digital in 6599) [ClassicSimilarity], result of:
0.068930924 = score(doc=6599,freq=2.0), product of:
0.19770671 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.050121464 = queryNorm
0.34865242 = fieldWeight in 6599, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.0625 = fieldNorm(doc=6599)
0.027163066 = product of:
0.054326132 = sum of:
0.054326132 = weight(_text_:22 in 6599) [ClassicSimilarity], result of:
0.054326132 = score(doc=6599,freq=2.0), product of:
0.17551683 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.050121464 = queryNorm
0.30952093 = fieldWeight in 6599, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=6599)
0.5 = coord(1/2)
0.5 = coord(2/4)
- Abstract
- With the onset of the information explosion arising from digital libraries and access to a wealth of information through the Internet, the need to efficiently determine the relevance of a document becomes even more urgent. Describes a text extraction system (TES), which retrieves a set of sentences from a document to form an indicative abstract. Such an automated process enables information to be filtered more quickly. Discusses the combination of various text extraction techniques. Compares results with manually produced abstracts
- Date
- 26. 2.1997 10:22:43
-
Wang, S.; Koopman, R.: Embed first, then predict (2019)
0.04
0.040034845 = product of:
0.08006969 = sum of:
0.060926907 = weight(_text_:digital in 5400) [ClassicSimilarity], result of:
0.060926907 = score(doc=5400,freq=4.0), product of:
0.19770671 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.050121464 = queryNorm
0.3081681 = fieldWeight in 5400, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.0390625 = fieldNorm(doc=5400)
0.01914278 = weight(_text_:library in 5400) [ClassicSimilarity], result of:
0.01914278 = score(doc=5400,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.14525402 = fieldWeight in 5400, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.0390625 = fieldNorm(doc=5400)
0.5 = coord(2/4)
- Abstract
- Automatic subject prediction is a desirable feature for modern digital library systems, as manual indexing can no longer cope with the rapid growth of digital collections. It is also desirable to be able to identify a small set of entities (e.g., authors, citations, bibliographic records) which are most relevant to a query. This gets more difficult when the amount of data increases dramatically. Data sparsity and model scalability are the major challenges to solving this type of extreme multilabel classification problem automatically. In this paper, we propose to address this problem in two steps: we first embed different types of entities into the same semantic space, where similarity could be computed easily; second, we propose a novel non-parametric method to identify the most relevant entities in addition to direct semantic similarities. We show how effectively this approach predicts even very specialised subjects, which are associated with few documents in the training set and are more problematic for a classifier.
-
Ou, S.; Khoo, S.G.; Goh, D.H.: Automatic multidocument summarization of research abstracts : design and user evaluation (2007)
0.03
0.031112304 = product of:
0.062224608 = sum of:
0.043081827 = weight(_text_:digital in 522) [ClassicSimilarity], result of:
0.043081827 = score(doc=522,freq=2.0), product of:
0.19770671 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.050121464 = queryNorm
0.21790776 = fieldWeight in 522, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.0390625 = fieldNorm(doc=522)
0.01914278 = weight(_text_:library in 522) [ClassicSimilarity], result of:
0.01914278 = score(doc=522,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.14525402 = fieldWeight in 522, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.0390625 = fieldNorm(doc=522)
0.5 = coord(2/4)
- Abstract
- The purpose of this study was to develop a method for automatic construction of multidocument summaries of sets of research abstracts that may be retrieved by a digital library or search engine in response to a user query. Sociology dissertation abstracts were selected as the sample domain in this study. A variable-based framework was proposed for integrating and organizing research concepts and relationships as well as research methods and contextual relations extracted from different dissertation abstracts. Based on the framework, a new summarization method was developed, which parses the discourse structure of abstracts, extracts research concepts and relationships, integrates the information across different abstracts, and organizes and presents them in a Web-based interface. The focus of this article is on the user evaluation that was performed to assess the overall quality and usefulness of the summaries. Two types of variable-based summaries generated using the summarization method-with or without the use of a taxonomy-were compared against a sentence-based summary that lists only the research-objective sentences extracted from each abstract and another sentence-based summary generated using the MEAD system that extracts important sentences. The evaluation results indicate that the majority of sociological researchers (70%) and general users (64%) preferred the variable-based summaries generated with the use of the taxonomy.
-
Pinto, M.: Abstracting/abstract adaptation to digital environments : research trends (2003)
0.02
0.018278074 = product of:
0.073112294 = sum of:
0.073112294 = weight(_text_:digital in 4446) [ClassicSimilarity], result of:
0.073112294 = score(doc=4446,freq=4.0), product of:
0.19770671 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.050121464 = queryNorm
0.36980176 = fieldWeight in 4446, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.046875 = fieldNorm(doc=4446)
0.25 = coord(1/4)
- Abstract
- The technological revolution is affecting the structure, form and content of documents, reducing the effectiveness of traditional abstracts that, to some extent, are inadequate to the new documentary conditions. Aims to show the directions in which abstracting/abstracts can evolve to achieve the necessary adequacy in the new digital environments. Three researching trends are proposed: theoretical, methodological and pragmatic. Theoretically, there are some needs for expanding the document concept, reengineering abstracting and designing interdisciplinary models. Methodologically, the trend is toward the structuring, automating and qualifying of the abstracts. Pragmatically, abstracts networking, combined with alternative and complementary models, open a new and promising horizon. Automating, structuring and qualifying abstracting/abstract offer some short-term prospects for progress. Concludes that reengineering, networking and visualising would be middle-term fruitful areas of research toward the full adequacy of abstracting in the new electronic age.
-
Summarising software for publishing (1996)
0.02
0.017232731 = product of:
0.068930924 = sum of:
0.068930924 = weight(_text_:digital in 5121) [ClassicSimilarity], result of:
0.068930924 = score(doc=5121,freq=2.0), product of:
0.19770671 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.050121464 = queryNorm
0.34865242 = fieldWeight in 5121, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.0625 = fieldNorm(doc=5121)
0.25 = coord(1/4)
- Source
- Digital publisher. 1(1996) no.4, S.15-20
-
Paice, C.D.: Automatic abstracting (1994)
0.02
0.015314223 = product of:
0.061256893 = sum of:
0.061256893 = weight(_text_:library in 1255) [ClassicSimilarity], result of:
0.061256893 = score(doc=1255,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.46481284 = fieldWeight in 1255, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.125 = fieldNorm(doc=1255)
0.25 = coord(1/4)
- Source
- Encyclopedia of library and information science. Vol.53, [=Suppl.16]
-
Díaz, A.; Gervás, P.: User-model based personalized summarization (2007)
0.01
0.012924549 = product of:
0.051698197 = sum of:
0.051698197 = weight(_text_:digital in 952) [ClassicSimilarity], result of:
0.051698197 = score(doc=952,freq=2.0), product of:
0.19770671 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.050121464 = queryNorm
0.26148933 = fieldWeight in 952, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.046875 = fieldNorm(doc=952)
0.25 = coord(1/4)
- Abstract
- The potential of summary personalization is high, because a summary that would be useless to decide the relevance of a document if summarized in a generic manner, may be useful if the right sentences are selected that match the user interest. In this paper we defend the use of a personalized summarization facility to maximize the density of relevance of selections sent by a personalized information system to a given user. The personalization is applied to the digital newspaper domain and it used a user-model that stores long and short term interests using four reference systems: sections, categories, keywords and feedback terms. On the other side, it is crucial to measure how much information is lost during the summarization process, and how this information loss may affect the ability of the user to judge the relevance of a given document. The results obtained in two personalization systems show that personalized summaries perform better than generic and generic-personalized summaries in terms of identifying documents that satisfy user preferences. We also considered a user-centred direct evaluation that showed a high level of user satisfaction with the summaries.
-
Johnson, F.C.: ¬A critical view of system-centered to user-centered evaluation of automatic abstracting research (1999)
0.01
0.011485667 = product of:
0.045942668 = sum of:
0.045942668 = weight(_text_:library in 2994) [ClassicSimilarity], result of:
0.045942668 = score(doc=2994,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.34860963 = fieldWeight in 2994, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.09375 = fieldNorm(doc=2994)
0.25 = coord(1/4)
- Source
- New review of information and library research. 5(1999), S.49-63
-
Jones, S.; Paynter, G.W.: Automatic extractionof document keyphrases for use in digital libraries : evaluations and applications (2002)
0.01
0.010770457 = product of:
0.043081827 = sum of:
0.043081827 = weight(_text_:digital in 601) [ClassicSimilarity], result of:
0.043081827 = score(doc=601,freq=2.0), product of:
0.19770671 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.050121464 = queryNorm
0.21790776 = fieldWeight in 601, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.0390625 = fieldNorm(doc=601)
0.25 = coord(1/4)
-
Su, H.: Automatic abstracting (1996)
0.01
0.00957139 = product of:
0.03828556 = sum of:
0.03828556 = weight(_text_:library in 150) [ClassicSimilarity], result of:
0.03828556 = score(doc=150,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.29050803 = fieldWeight in 150, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.078125 = fieldNorm(doc=150)
0.25 = coord(1/4)
- Source
- Bulletin of the Library Association of China. 1996, no.56, Jun., S.41-47
-
Uyttendaele, C.; Moens, M.-F.; Dumortier, J.: SALOMON: automatic abstracting of legal cases for effective access to court decisions (1998)
0.01
0.008633038 = product of:
0.034532152 = sum of:
0.034532152 = product of:
0.069064304 = sum of:
0.069064304 = weight(_text_:project in 495) [ClassicSimilarity], result of:
0.069064304 = score(doc=495,freq=2.0), product of:
0.21156175 = queryWeight, product of:
4.220981 = idf(docFreq=1764, maxDocs=44218)
0.050121464 = queryNorm
0.32644984 = fieldWeight in 495, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.220981 = idf(docFreq=1764, maxDocs=44218)
0.0546875 = fieldNorm(doc=495)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Abstract
- The SALOMON project summarises Belgian criminal cases in order to improve access to the large number of existing and future cases. A double methodology was used when developing SALOMON: the cases are processed by employing additional knowledge to interpret structural patterns and features on the one hand and by way of occurrence statistics of index terms on the other. SALOMON performs an initial categorisation and structuring of the cases and subsequently extracts the most relevant text units of the alleged offences and of the opinion of the court. The SALOMON techniques do not themselves solve any legal questions, but they do guide the use effectively towards relevant texts
-
Moens, M.-F.: Summarizing court decisions (2007)
0.01
0.008633038 = product of:
0.034532152 = sum of:
0.034532152 = product of:
0.069064304 = sum of:
0.069064304 = weight(_text_:project in 954) [ClassicSimilarity], result of:
0.069064304 = score(doc=954,freq=2.0), product of:
0.21156175 = queryWeight, product of:
4.220981 = idf(docFreq=1764, maxDocs=44218)
0.050121464 = queryNorm
0.32644984 = fieldWeight in 954, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.220981 = idf(docFreq=1764, maxDocs=44218)
0.0546875 = fieldNorm(doc=954)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Abstract
- In the field of law there is an absolute need for summarizing the texts of court decisions in order to make the content of the cases easily accessible for legal professionals. During the SALOMON and MOSAIC projects we investigated the summarization and retrieval of legal cases. This article presents some of the main findings while integrating the research results of experiments on legal document summarization by other research groups. In addition, we propose novel avenues of research for automatic text summarization, which we currently exploit when summarizing court decisions in the ACILA project. Techniques for automated concept learning and argument recognition are here the most challenging.
-
Craven, T.C.: ¬A computer-aided abstracting tool kit (1993)
0.01
0.0076571116 = product of:
0.030628446 = sum of:
0.030628446 = weight(_text_:library in 6506) [ClassicSimilarity], result of:
0.030628446 = score(doc=6506,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.23240642 = fieldWeight in 6506, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.0625 = fieldNorm(doc=6506)
0.25 = coord(1/4)
- Source
- Canadian journal of information and library science. 18(1993) no.2, S.20-31
-
Johnson, F.: Automatic abstracting research (1995)
0.01
0.0076571116 = product of:
0.030628446 = sum of:
0.030628446 = weight(_text_:library in 3847) [ClassicSimilarity], result of:
0.030628446 = score(doc=3847,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.23240642 = fieldWeight in 3847, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.0625 = fieldNorm(doc=3847)
0.25 = coord(1/4)
- Source
- Library review. 44(1995) no.8, S.28-36
-
Craven, T.C.: ¬A phrase flipper for the assistance of writers of abstracts and other text (1995)
0.01
0.0076571116 = product of:
0.030628446 = sum of:
0.030628446 = weight(_text_:library in 4897) [ClassicSimilarity], result of:
0.030628446 = score(doc=4897,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.23240642 = fieldWeight in 4897, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.0625 = fieldNorm(doc=4897)
0.25 = coord(1/4)
- Source
- Canadian journal of information and library science. 20(1995) nos.3/4, S.41-49
-
Moens, M.-F.; Uyttendaele, C.; Dumotier, J.: Abstracting of legal cases : the potential of clustering based on the selection of representative objects (1999)
0.01
0.0073997467 = product of:
0.029598987 = sum of:
0.029598987 = product of:
0.059197973 = sum of:
0.059197973 = weight(_text_:project in 2944) [ClassicSimilarity], result of:
0.059197973 = score(doc=2944,freq=2.0), product of:
0.21156175 = queryWeight, product of:
4.220981 = idf(docFreq=1764, maxDocs=44218)
0.050121464 = queryNorm
0.27981415 = fieldWeight in 2944, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.220981 = idf(docFreq=1764, maxDocs=44218)
0.046875 = fieldNorm(doc=2944)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Abstract
- The SALOMON project automatically summarizes Belgian criminal cases in order to improve access to the large number of existing and future court decisions. SALOMON extracts text units from the case text to form a case summary. Such a case summary facilitates the rapid determination of the relevance of the case or may be employed in text search. an important part of the research concerns the development of techniques for automatic recognition of representative text paragraphs (or sentences) in texts of unrestricted domains. these techniques are employed to eliminate redundant material in the case texts, and to identify informative text paragraphs which are relevant to include in the case summary. An evaluation of a test set of 700 criminal cases demonstrates that the algorithms have an application potential for automatic indexing, abstracting, and text linkage
-
Robin, J.; McKeown, K.: Empirically designing and evaluating a new revision-based model for summary generation (1996)
0.01
0.0067907665 = product of:
0.027163066 = sum of:
0.027163066 = product of:
0.054326132 = sum of:
0.054326132 = weight(_text_:22 in 6751) [ClassicSimilarity], result of:
0.054326132 = score(doc=6751,freq=2.0), product of:
0.17551683 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.050121464 = queryNorm
0.30952093 = fieldWeight in 6751, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=6751)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Date
- 6. 3.1997 16:22:15
-
Jones, P.A.; Bradbeer, P.V.G.: Discovery of optimal weights in a concept selection system (1996)
0.01
0.0067907665 = product of:
0.027163066 = sum of:
0.027163066 = product of:
0.054326132 = sum of:
0.054326132 = weight(_text_:22 in 6974) [ClassicSimilarity], result of:
0.054326132 = score(doc=6974,freq=2.0), product of:
0.17551683 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.050121464 = queryNorm
0.30952093 = fieldWeight in 6974, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=6974)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Source
- Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
