[PDF] Top 20 Leveraging Lexical Cohesion and Disruption for Topic Segmentation
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Leveraging Lexical Cohesion and Disruption for Topic Segmentation
... Several configurations were considered in the ex- periments; due to space constraints, only the most salient experiments are presented here. In Eq. 7, the parameter α, which controls the contribution of the prior model ... See full document
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A probabilistic segment model combining lexical cohesion and disruption for topic segmentation (Un modèle segmental probabiliste combinant cohésion lexicale et rupture lexicale pour la segmentation thématique) [in French]
... la segmentation de journaux télévisés afin de permettre à des utilisateurs de naviguer dans ce type de ...la segmentation thématique peut dans ce cas s’appuyer sur la transcription automatique de la parole ... See full document
13
Hierarchical Text Segmentation from Multi Scale Lexical Cohesion
... These structural requirements simplify inference, allowing the language models to be analytically marginalized. The remaining hidden variables are the scale-level assignments for each word token. Given marginal ... See full document
9
Bayesian Unsupervised Topic Segmentation
... this topic, see (Grosz, ...linear segmentation. More recently, cue phrases have been applied to topic segmentation in the supervised ...the topic segmentation task without ... See full document
10
Discourse Segmentation of Multi Party Conversation
... discourse segmentation of written texts indicates that lexical cohesion is a strong in- dicator of discourse ...structure. Lexical cohesion is a linguistic property that pertains to ... See full document
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An analysis of content free dialogue representation, supervised classification methods and evaluation metrics for meeting topic segmentation
... Topic segmentation has been intensively studied as an important approach of meeting structure analysis, where most researches are based on meeting tran- scripts [Galley et ...avail topic ... See full document
182
Measuring Lexical Cohesion: Beyond Word Repetition
... topical segmentation has mostly centred on using surface vocabulary to identify topical ...the topic under ...latent topic variable, where the topic variables correspond to distributions over ... See full document
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Automatic Segmentation of Multiparty Dialogue
... top-level topic shifts to the problem of identifying subtopic ...the lexical cohesion-based approach alone can achieve competitive results, (2) for predicting top-level boundaries, the ma- chine ... See full document
8
Topic Segmentation with Hybrid Document Indexing
... TDT We use the LCseg approach and our ap- proach with the baseline tf-idf representation and the GLSA representation to segment this corpus. Ta- ble 2 shows a few sentences. Many content words are repeated, so the ... See full document
9
On the contribution of discourse structure to topic segmentation
... characterize topic segmentation based on rhetorical relations, we recorded the frequency of those relations in topic ...on topic boundaries, whereas others never occurred at the boundaries of ... See full document
5
Incorporating Lexical Priors into Topic Models
... For comparability purposes, in this paper, we experimented with same number of regular topics as the number of seed topics. But as explained in the modeling part, our model is general enough to handle situation with ... See full document
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Lexical Choice via Topic Adaptation for Paraphrasing Written Language to Spoken Language
... The result is summarized in Table 5. For example, in Business category, the accuracy of DT was 91.5%. 289 out of 316 words were classified successfully, and the 289 consists of 31 INAPPROPRIATE and 258 APPROPRIATE words. ... See full document
12
Statistical Models for Topic Segmentation
... To reiterate, we used our word frequency model with a total of 3 parameters trained from English newswire text to segment Spanish broadcast news data.. regions of a document unless those[r] ... See full document
8
Word Sense Disambiguation Using Lexical Cohesion in the Context
... a lexical chain using the syn/antonym and hyper/hyponym links of WordNet to detect and correct malaprop- isms in context, in which they specified three different weights from extra-strong to medium strong to score ... See full document
8
Distributional Lexical Entailment by Topic Coherence
... of lexical entailment, or hypernym detection, is an important NLP ...a topic, and introduce a new entailment detection measure based on Topic Coher- ence ... See full document
9
Measuring Class Cohesion using Topic Modeling
... (connectivity) cohesion metrics [15]. For improving a class cohesion they define Lack of Cohesion in Methods (LCOM) is defined as the number of connected components of graph GX (1≤LCOM(X)≤|MX|) where ... See full document
11
Short Text Understanding by Leveraging Knowledge into Topic Model
... Conventional topic modeling, like PLSA (Hofmann, 1999) and LDA (Blei et al., 2003) are widely used for uncovering the hidden topics from text corpus. However, the sparsity of content in short texts brings new ... See full document
6
Automatic Summarization
... Frequency, Lexical chains, TF*IDF, Topic Words, Topic Models [LSA, EM, Bayesian].. Graph Based Methods.[r] ... See full document
86
Vol 4, No 1 (2019)
... grammatical cohesion in the text of the observation report of students of Indonesian Language and Literature Education Study Program, FKIP, Pakuan University, Bogor as evidenced by the discovery of the use of ... See full document
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