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386,313
Statistical Models for Text Segmentation
- Machine Learning
, 1999
"... . This paper introduces a new statistical approach to automatically partitioning text into coherent segments. The approach is based on a technique that incrementally builds an exponential model to extract features that are correlated with the presence of boundaries in labeled training text. The mode ..."
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Cited by 268 (3 self)
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. This paper introduces a new statistical approach to automatically partitioning text into coherent segments. The approach is based on a technique that incrementally builds an exponential model to extract features that are correlated with the presence of boundaries in labeled training text
Text Segmentation by Topic
- In Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries
, 1997
"... We investigate the problem of text segmentation by topic. ..."
Text Segmentation by Topic
- In Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries
, 1997
"... . We investigate the problem of text segmentation by topic. Applications for this task include topic tracking of broadcast speech data and topic identification in full-text databases. Researchers have tackled similar problems before but with different goals. This study focuses on data with relativel ..."
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Cited by 105 (2 self)
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. We investigate the problem of text segmentation by topic. Applications for this task include topic tracking of broadcast speech data and topic identification in full-text databases. Researchers have tackled similar problems before but with different goals. This study focuses on data
Latent Semantic Analysis for Text Segmentation
- In Proceedings of EMNLP
, 2001
"... This paper describes a method for linear text segmentation that is more accurate or at least as accurate as state-of-the-art methods (Utiyama and Isahara, 2001 ..."
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Cited by 92 (1 self)
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This paper describes a method for linear text segmentation that is more accurate or at least as accurate as state-of-the-art methods (Utiyama and Isahara, 2001
Text Segmentation with Topic Models
"... This article presents a general method to use information retrieved from the Latent Dirichlet Allocation (LDA) topic model for Text Segmentation: Using topic assignments instead of words in two well-known Text Segmentation algorithms, namely TextTiling and C99, leads to significant improvements. Fur ..."
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Cited by 2 (0 self)
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This article presents a general method to use information retrieved from the Latent Dirichlet Allocation (LDA) topic model for Text Segmentation: Using topic assignments instead of words in two well-known Text Segmentation algorithms, namely TextTiling and C99, leads to significant improvements
An iterative approach to text segmentation
- In Proceedings of the 33rd European Conference on Advances in Information Retrieval, ECIR’11
, 2011
"... Abstract. We present divSeg, a novel method for text segmentation that iteratively splits a portion of text at its weakest point in terms of the connectivity strength between two adjacent parts. To search for the weakest point, we apply two different measures: one is based on language modeling of te ..."
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Cited by 2 (0 self)
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Abstract. We present divSeg, a novel method for text segmentation that iteratively splits a portion of text at its weakest point in terms of the connectivity strength between two adjacent parts. To search for the weakest point, we apply two different measures: one is based on language modeling
Text Segmentation from Images
"... Texts detection from image or complex colored document is a very challenging problem. Text in images and videos contain useful information. There is a significant need to extract and analyze the text in images on Web documents, for effective indexing, semantic analysis and searching. The extraction ..."
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Cited by 1 (0 self)
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of text information is very important because texts contain highlevel semantic information. In this paper, we proposed a hybrid approach of text segmentation using edge and texture feature information.This result can also be used for other image interpretation and analysis. 1.
Text Segmentation Based On Similarity Between Words
, 1993
"... This paper proposes a new indicator of text structure, called the lexical cohesion profile (LCP), which locates segment boundaries in a text. A text segment is a coherent scene; the words in a segment are linked together via lexical cohesion relations. LCP records mutual similarity of words in a seq ..."
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Cited by 128 (4 self)
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This paper proposes a new indicator of text structure, called the lexical cohesion profile (LCP), which locates segment boundaries in a text. A text segment is a coherent scene; the words in a segment are linked together via lexical cohesion relations. LCP records mutual similarity of words in a
Advances in Domain Independent Linear Text Segmentation
, 2000
"... This paper describes a method for linear text seg- mc. ntation which is twice as accurate and over seven times as fast as the state-of-the-art (Reynar, 1998). Inter-sentence similarity is replaced by rank in the local context. Boundary locations are discovered by divisive clustering. ..."
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Cited by 182 (1 self)
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This paper describes a method for linear text seg- mc. ntation which is twice as accurate and over seven times as fast as the state-of-the-art (Reynar, 1998). Inter-sentence similarity is replaced by rank in the local context. Boundary locations are discovered by divisive clustering.
Statistical Models for Text Segmentation
- Machine Learning
, 1999
"... . This paper introduces a new statistical approach to automatically partitioning text into coherent segments. The approach is based on a technique that incrementally builds an exponential model to extract features that are correlated with the presence of boundaries in labeled training text. The mod ..."
Abstract
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Cited by 1 (0 self)
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. This paper introduces a new statistical approach to automatically partitioning text into coherent segments. The approach is based on a technique that incrementally builds an exponential model to extract features that are correlated with the presence of boundaries in labeled training text
Results 1 - 10
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386,313