-
Johnson, F.: Automatic abstracting research (1995)
0.00
0.0033633395 = product of:
0.04708675 = sum of:
0.04708675 = weight(_text_:representation in 3847) [ClassicSimilarity], result of:
0.04708675 = score(doc=3847,freq=2.0), product of:
0.11578492 = queryWeight, product of:
4.600994 = idf(docFreq=1206, maxDocs=44218)
0.025165197 = queryNorm
0.40667427 = fieldWeight in 3847, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.600994 = idf(docFreq=1206, maxDocs=44218)
0.0625 = fieldNorm(doc=3847)
0.071428575 = coord(1/14)
- Abstract
- Discusses the attraction for researchers of the prospect of automatically generating abstracts but notes that the promise of superseding the human effort has yet to be realized. Notes ways in which progress in automatic abstracting research may come about and suggests a shift in the aim from reproducing the conventional benefits of abstracts to accentuating the advantages to users of the computerized representation of information in large textual databases
-
Yeh, J.-Y.; Ke, H.-R.; Yang, W.-P.; Meng, I.-H.: Text summarization using a trainable summarizer and latent semantic analysis (2005)
0.00
0.0021020873 = product of:
0.02942922 = sum of:
0.02942922 = weight(_text_:representation in 1003) [ClassicSimilarity], result of:
0.02942922 = score(doc=1003,freq=2.0), product of:
0.11578492 = queryWeight, product of:
4.600994 = idf(docFreq=1206, maxDocs=44218)
0.025165197 = queryNorm
0.25417143 = fieldWeight in 1003, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.600994 = idf(docFreq=1206, maxDocs=44218)
0.0390625 = fieldNorm(doc=1003)
0.071428575 = coord(1/14)
- Abstract
- This paper proposes two approaches to address text summarization: modified corpus-based approach (MCBA) and LSA-based T.R.M. approach (LSA + T.R.M.). The first is a trainable summarizer, which takes into account several features, including position, positive keyword, negative keyword, centrality, and the resemblance to the title, to generate summaries. Two new ideas are exploited: (1) sentence positions are ranked to emphasize the significances of different sentence positions, and (2) the score function is trained by the genetic algorithm (GA) to obtain a suitable combination of feature weights. The second uses latent semantic analysis (LSA) to derive the semantic matrix of a document or a corpus and uses semantic sentence representation to construct a semantic text relationship map. We evaluate LSA + T.R.M. both with single documents and at the corpus level to investigate the competence of LSA in text summarization. The two novel approaches were measured at several compression rates on a data corpus composed of 100 political articles. When the compression rate was 30%, an average f-measure of 49% for MCBA, 52% for MCBA + GA, 44% and 40% for LSA + T.R.M. in single-document and corpus level were achieved respectively.
-
Cai, X.; Li, W.: Enhancing sentence-level clustering with integrated and interactive frameworks for theme-based summarization (2011)
0.00
0.0021020873 = product of:
0.02942922 = sum of:
0.02942922 = weight(_text_:representation in 4770) [ClassicSimilarity], result of:
0.02942922 = score(doc=4770,freq=2.0), product of:
0.11578492 = queryWeight, product of:
4.600994 = idf(docFreq=1206, maxDocs=44218)
0.025165197 = queryNorm
0.25417143 = fieldWeight in 4770, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.600994 = idf(docFreq=1206, maxDocs=44218)
0.0390625 = fieldNorm(doc=4770)
0.071428575 = coord(1/14)
- Abstract
- Sentence clustering plays a pivotal role in theme-based summarization, which discovers topic themes defined as the clusters of highly related sentences to avoid redundancy and cover more diverse information. As the length of sentences is short and the content it contains is limited, the bag-of-words cosine similarity traditionally used for document clustering is no longer suitable. Special treatment for measuring sentence similarity is necessary. In this article, we study the sentence-level clustering problem. After exploiting concept- and context-enriched sentence vector representations, we develop two co-clustering frameworks to enhance sentence-level clustering for theme-based summarization-integrated clustering and interactive clustering-both allowing word and document to play an explicit role in sentence clustering as independent text objects rather than using word or concept as features of a sentence in a document set. In each framework, we experiment with two-level co-clustering (i.e., sentence-word co-clustering or sentence-document co-clustering) and three-level co-clustering (i.e., document-sentence-word co-clustering). Compared against concept- and context-oriented sentence-representation reformation, co-clustering shows a clear advantage in both intrinsic clustering quality evaluation and extrinsic summarization evaluation conducted on the Document Understanding Conferences (DUC) datasets.
-
Kuhlen, R.: Informationsaufbereitung III : Referieren (Abstracts - Abstracting - Grundlagen) (2004)
0.00
0.0016816697 = product of:
0.023543375 = sum of:
0.023543375 = weight(_text_:representation in 2917) [ClassicSimilarity], result of:
0.023543375 = score(doc=2917,freq=2.0), product of:
0.11578492 = queryWeight, product of:
4.600994 = idf(docFreq=1206, maxDocs=44218)
0.025165197 = queryNorm
0.20333713 = fieldWeight in 2917, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.600994 = idf(docFreq=1206, maxDocs=44218)
0.03125 = fieldNorm(doc=2917)
0.071428575 = coord(1/14)
- Abstract
- Was ein Abstract (im Folgenden synonym mit Referat oder Kurzreferat gebraucht) ist, legt das American National Standards Institute in einer Weise fest, die sicherlich von den meisten Fachleuten akzeptiert werden kann: "An abstract is defined as an abbreviated, accurate representation of the contents of a document"; fast genauso die deutsche Norm DIN 1426: "Das Kurzreferat gibt kurz und klar den Inhalt des Dokuments wieder." Abstracts gehören zum wissenschaftlichen Alltag. Weitgehend allen Publikationen, zumindest in den naturwissenschaftlichen, technischen, informationsbezogenen oder medizinischen Bereichen, gehen Abstracts voran, "prefe-rably prepared by its author(s) for publication with it". Es gibt wohl keinen Wissenschaftler, der nicht irgendwann einmal ein Abstract geschrieben hätte. Gehört das Erstellen von Abstracts dann überhaupt zur dokumentarischen bzw informationswissenschaftlichen Methodenlehre, wenn es jeder kann? Was macht den informationellen Mehrwert aus, der durch Expertenreferate gegenüber Laienreferaten erzeugt wird? Dies ist nicht so leicht zu beantworten, zumal geeignete Bewertungsverfahren fehlen, die Qualität von Abstracts vergleichend "objektiv" zu messen. Abstracts werden in erheblichem Umfang von Informationsspezialisten erstellt, oft unter der Annahme, dass Autoren selber dafür weniger geeignet sind. Vergegenwärtigen wir uns, was wir über Abstracts und Abstracting wissen. Ein besonders gelungenes Abstract ist zuweilen klarer als der Ursprungstext selber, darf aber nicht mehr Information als dieser enthalten: "Good abstracts are highly structured, concise, and coherent, and are the result of a thorough analysis of the content of the abstracted materials. Abstracts may be more readable than the basis documents, but because of size constraints they rarely equal and never surpass the information content of the basic document". Dies ist verständlich, denn ein "Abstract" ist zunächst nichts anderes als ein Ergebnis des Vorgangs einer Abstraktion. Ohne uns zu sehr in die philosophischen Hintergründe der Abstraktion zu verlieren, besteht diese doch "in der Vernachlässigung von bestimmten Vorstellungsbzw. Begriffsinhalten, von welchen zugunsten anderer Teilinhalte abgesehen, abstrahiert' wird. Sie ist stets verbunden mit einer Fixierung von (interessierenden) Merkmalen durch die aktive Aufmerksamkeit, die unter einem bestimmten pragmatischen Gesichtspunkt als wesentlich' für einen vorgestellten bzw für einen unter einen Begriff fallenden Gegenstand (oder eine Mehrheit von Gegenständen) betrachtet werden". Abstracts reduzieren weniger Begriffsinhalte, sondern Texte bezüglich ihres proportionalen Gehaltes. Borko/ Bernier haben dies sogar quantifiziert; sie schätzen den Reduktionsfaktor auf 1:10 bis 1:12
-
Kim, H.H.; Kim, Y.H.: Generic speech summarization of transcribed lecture videos : using tags and their semantic relations (2016)
0.00
0.001630958 = product of:
0.022833413 = sum of:
0.022833413 = product of:
0.034250118 = sum of:
0.017202431 = weight(_text_:29 in 2640) [ClassicSimilarity], result of:
0.017202431 = score(doc=2640,freq=2.0), product of:
0.08852329 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.025165197 = queryNorm
0.19432661 = fieldWeight in 2640, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0390625 = fieldNorm(doc=2640)
0.017047685 = weight(_text_:22 in 2640) [ClassicSimilarity], result of:
0.017047685 = score(doc=2640,freq=2.0), product of:
0.08812423 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.025165197 = queryNorm
0.19345059 = fieldWeight in 2640, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=2640)
0.6666667 = coord(2/3)
0.071428575 = coord(1/14)
- Date
- 22. 1.2016 12:29:41
-
Pinto, M.: Engineering the production of meta-information : the abstracting concern (2003)
0.00
0.0016218609 = product of:
0.022706052 = sum of:
0.022706052 = product of:
0.068118155 = sum of:
0.068118155 = weight(_text_:29 in 4667) [ClassicSimilarity], result of:
0.068118155 = score(doc=4667,freq=4.0), product of:
0.08852329 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.025165197 = queryNorm
0.7694941 = fieldWeight in 4667, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.109375 = fieldNorm(doc=4667)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 27.11.2005 18:29:55
- Source
- Journal of information science. 29(2003) no.5, S.405-418
-
Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994)
0.00
8.1916346E-4 = product of:
0.011468288 = sum of:
0.011468288 = product of:
0.034404863 = sum of:
0.034404863 = weight(_text_:29 in 1949) [ClassicSimilarity], result of:
0.034404863 = score(doc=1949,freq=2.0), product of:
0.08852329 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.025165197 = queryNorm
0.38865322 = fieldWeight in 1949, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.078125 = fieldNorm(doc=1949)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 16. 8.1998 12:30:29
-
Craven, T.C.: ¬A phrase flipper for the assistance of writers of abstracts and other text (1995)
0.00
6.553308E-4 = product of:
0.00917463 = sum of:
0.00917463 = product of:
0.027523888 = sum of:
0.027523888 = weight(_text_:29 in 4897) [ClassicSimilarity], result of:
0.027523888 = score(doc=4897,freq=2.0), product of:
0.08852329 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.025165197 = queryNorm
0.31092256 = fieldWeight in 4897, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0625 = fieldNorm(doc=4897)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 17. 8.1996 10:29:59
-
Goh, A.; Hui, S.C.: TES: a text extraction system (1996)
0.00
6.494356E-4 = product of:
0.009092098 = sum of:
0.009092098 = product of:
0.027276294 = sum of:
0.027276294 = weight(_text_:22 in 6599) [ClassicSimilarity], result of:
0.027276294 = score(doc=6599,freq=2.0), product of:
0.08812423 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.025165197 = 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)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 26. 2.1997 10:22:43
-
Robin, J.; McKeown, K.: Empirically designing and evaluating a new revision-based model for summary generation (1996)
0.00
6.494356E-4 = product of:
0.009092098 = sum of:
0.009092098 = product of:
0.027276294 = sum of:
0.027276294 = weight(_text_:22 in 6751) [ClassicSimilarity], result of:
0.027276294 = score(doc=6751,freq=2.0), product of:
0.08812423 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.025165197 = 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)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 6. 3.1997 16:22:15
-
Jones, P.A.; Bradbeer, P.V.G.: Discovery of optimal weights in a concept selection system (1996)
0.00
6.494356E-4 = product of:
0.009092098 = sum of:
0.009092098 = product of:
0.027276294 = sum of:
0.027276294 = weight(_text_:22 in 6974) [ClassicSimilarity], result of:
0.027276294 = score(doc=6974,freq=2.0), product of:
0.08812423 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.025165197 = 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)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- 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
-
Uyttendaele, C.; Moens, M.-F.; Dumortier, J.: SALOMON: automatic abstracting of legal cases for effective access to court decisions (1998)
0.00
5.734144E-4 = product of:
0.008027801 = sum of:
0.008027801 = product of:
0.024083402 = sum of:
0.024083402 = weight(_text_:29 in 495) [ClassicSimilarity], result of:
0.024083402 = score(doc=495,freq=2.0), product of:
0.08852329 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.025165197 = queryNorm
0.27205724 = fieldWeight in 495, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0546875 = fieldNorm(doc=495)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 17. 7.1996 14:16:29
-
Vanderwende, L.; Suzuki, H.; Brockett, J.M.; Nenkova, A.: Beyond SumBasic : task-focused summarization with sentence simplification and lexical expansion (2007)
0.00
4.8707667E-4 = product of:
0.006819073 = sum of:
0.006819073 = product of:
0.02045722 = sum of:
0.02045722 = weight(_text_:22 in 948) [ClassicSimilarity], result of:
0.02045722 = score(doc=948,freq=2.0), product of:
0.08812423 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.025165197 = queryNorm
0.23214069 = fieldWeight in 948, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=948)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Abstract
- In recent years, there has been increased interest in topic-focused multi-document summarization. In this task, automatic summaries are produced in response to a specific information request, or topic, stated by the user. The system we have designed to accomplish this task comprises four main components: a generic extractive summarization system, a topic-focusing component, sentence simplification, and lexical expansion of topic words. This paper details each of these components, together with experiments designed to quantify their individual contributions. We include an analysis of our results on two large datasets commonly used to evaluate task-focused summarization, the DUC2005 and DUC2006 datasets, using automatic metrics. Additionally, we include an analysis of our results on the DUC2006 task according to human evaluation metrics. In the human evaluation of system summaries compared to human summaries, i.e., the Pyramid method, our system ranked first out of 22 systems in terms of overall mean Pyramid score; and in the human evaluation of summary responsiveness to the topic, our system ranked third out of 35 systems.
-
Sweeney, S.; Crestani, F.; Losada, D.E.: 'Show me more' : incremental length summarisation using novelty detection (2008)
0.00
4.0958173E-4 = product of:
0.005734144 = sum of:
0.005734144 = product of:
0.017202431 = sum of:
0.017202431 = weight(_text_:29 in 2054) [ClassicSimilarity], result of:
0.017202431 = score(doc=2054,freq=2.0), product of:
0.08852329 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.025165197 = queryNorm
0.19432661 = fieldWeight in 2054, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0390625 = fieldNorm(doc=2054)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 29. 7.2008 19:35:12
-
Wang, S.; Koopman, R.: Embed first, then predict (2019)
0.00
4.0958173E-4 = product of:
0.005734144 = sum of:
0.005734144 = product of:
0.017202431 = sum of:
0.017202431 = weight(_text_:29 in 5400) [ClassicSimilarity], result of:
0.017202431 = score(doc=5400,freq=2.0), product of:
0.08852329 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.025165197 = queryNorm
0.19432661 = fieldWeight in 5400, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0390625 = fieldNorm(doc=5400)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 29. 9.2019 12:18:42
-
Wu, Y.-f.B.; Li, Q.; Bot, R.S.; Chen, X.: Finding nuggets in documents : a machine learning approach (2006)
0.00
4.0589727E-4 = product of:
0.0056825615 = sum of:
0.0056825615 = product of:
0.017047685 = sum of:
0.017047685 = weight(_text_:22 in 5290) [ClassicSimilarity], result of:
0.017047685 = score(doc=5290,freq=2.0), product of:
0.08812423 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.025165197 = queryNorm
0.19345059 = fieldWeight in 5290, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=5290)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 22. 7.2006 17:25:48
-
Oh, H.; Nam, S.; Zhu, Y.: Structured abstract summarization of scientific articles : summarization using full-text section information (2023)
0.00
4.0589727E-4 = product of:
0.0056825615 = sum of:
0.0056825615 = product of:
0.017047685 = sum of:
0.017047685 = weight(_text_:22 in 889) [ClassicSimilarity], result of:
0.017047685 = score(doc=889,freq=2.0), product of:
0.08812423 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.025165197 = queryNorm
0.19345059 = fieldWeight in 889, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=889)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 22. 1.2023 18:57:12
-
Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023)
0.00
4.0589727E-4 = product of:
0.0056825615 = sum of:
0.0056825615 = product of:
0.017047685 = sum of:
0.017047685 = weight(_text_:22 in 1012) [ClassicSimilarity], result of:
0.017047685 = score(doc=1012,freq=2.0), product of:
0.08812423 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.025165197 = queryNorm
0.19345059 = fieldWeight in 1012, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=1012)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 22. 6.2023 14:55:20
-
Kannan, R.; Ghinea, G.; Swaminathan, S.: What do you wish to see? : A summarization system for movies based on user preferences (2015)
0.00
3.276654E-4 = product of:
0.004587315 = sum of:
0.004587315 = product of:
0.013761944 = sum of:
0.013761944 = weight(_text_:29 in 2683) [ClassicSimilarity], result of:
0.013761944 = score(doc=2683,freq=2.0), product of:
0.08852329 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.025165197 = queryNorm
0.15546128 = fieldWeight in 2683, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.03125 = fieldNorm(doc=2683)
0.33333334 = coord(1/3)
0.071428575 = coord(1/14)
- Date
- 25. 1.2016 18:45:29
