[PDF] Top 20 Topic Segmentation for Short Texts
Has 10000 "Topic Segmentation for Short Texts" found on our website. Below are the top 20 most common "Topic Segmentation for Short Texts".
Using Collocations for Topic Segmentation and Link Detection
... a short delay before deciding that the active segment really ends and similarly, before deciding that a new segment with a stable topic ...detecting topic shifts distinguishes four states: – the ... See full document
7
Unit Segmentation of Argumentative Texts
... Given the corpora, we follow the existing ap- proaches outlined above in tackling unit segmenta- tion as a token-level classification task (Section 4). To capture the context around each token, we an- alyze different ... See full document
11
Topic Segmentation with Hybrid Document Indexing
... a short-range and long-range language model (Beefer- man et ...recently, topic segmentation with lexical chains has been successfully applied to segmentation of news stories, multi-party ... See full document
9
Finding document topics for improving topic segmentation
... based on the building of artificial texts made of seg- ments extracted from different documents. It has at least two advantages: the reference corpus is easy to build as it does not require human annotations; ... See full document
8
Learning to Rank Semantic Coherence for Topic Segmentation
... The next key problem is how to model and rep- resent text pairs. It is fortunate that neural net- works have emerged as a powerful tool for model- ing text pairs (Lu and Li, 2013; Severyn and Mos- chitti, 2015; Yin et ... See full document
5
On the contribution of discourse structure to topic segmentation
... 140 texts altogether, amounting to 2,088 sentences and 47,240 ...2.8 texts, 41.76 sentences and 944.8 words. All the texts in the corpus were manually annotated with RST structures and topic ... See full document
5
Leveraging Lexical Cohesion and Disruption for Topic Segmentation
... of short duration (2-3 min), possibly with consecutive reports on different facets of the same ...reference segmentation was established by associating a topic with each report, ...are short, ... See full document
11
Clause-based Discourse Segmentation of Arabic Texts
... Arabic texts can be diacritized, partially diacritized, or totally non ...things short vowels) are only used in educational books for ...diacritized texts are highly ambiguous: the proportion of ... See full document
7
Classification of Short Legal Lithuanian Texts
... ity is becoming more and more popular. In this field, parliamentary voting analysis might be dis- cerned as getting increasing attention (Jackman, 2001; Poole, 2005; Hix et al., 2006; Bailey, 2007). Analysis of the ... See full document
6
Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words
... unsupervised topic model that uses soft clustering over distributed representations of ...these short messages do not have long distance syntactic or semantic dependencies and we find that the dis- tributed ... See full document
9
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts
... (LapDMM) topic model for short ...of short texts using manifold regulariza- tion, which has been successfully used for topic models (Cai et ...miscalculated topic ... See full document
8
Most Trending Topics with Pre-learned Knowledge in Twitter
... novel topic model called SILDA (LDA with Social ...traditional topic model performs poorly is that the noisy and short tweets overwhelm the valid co-occurrence ...partition, texts in the same ... See full document
9
Topic Segmentation with a Structured Topic Model
... flat topic model (i.e., LDA), we assume each text has a latent topic structure that can reflect the topic coherence pattern, and the model adapts its parameters to the segments to further improve ... See full document
11
An Orthonormal Basis for Topic Segmentation in Tutorial Dialogue
... The task domain is a subset of conversations from human-human computer mediated tutoring ses- sions on Newton’s Three Laws of Motion, in which tutor and tutee engaged in a chat room-style conversation. The benefits of ... See full document
8
Gold standard for Topic specific Sentiment Analysis of Economic Texts
... To fill this gap, we introduce a human-annotated dataset that can be used for training and evaluation of topic- dependent sentiment models in the financial and economic context. The dataset consists of 10 ... See full document
6
ENG 521 –Composition Theory and Pedagogy
... scientific texts by John Hunter and Marie François Bichat; and poetry and fiction by Wollstonecraft, Laurence Sterne, John Thelwall, John Keats, and Percy and Mary ... See full document
7
Segmentation of Argumentative Texts with Contextualised Word Representations
... based models with a decoding layer that considers relations between neighbouring labels and jointly decodes the optimal sequence of labels for a given input sequence (Ma and Hovy, 2016), using a Conditionally Random ... See full document
10
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
... improve topic models marginally ...aid topic modeling of scientific ...for topic modeling ...the topic model performance degrades severely and falls to the level of the baseline topic ... See full document
8
Hashing and Enriching Short Texts Query Search Engine through Semantic Signals
... the texts which are presently available: the engineers who're basically inquisitive about realistic applications of the brand new adaptive, parallel computing technology, and the cognitive scientists and ... See full document
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