[PDF] Top 20 Short Text Understanding by Leveraging Knowledge into Topic Model
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Short Text Understanding by Leveraging Knowledge into Topic Model
... Conventional topic modeling, like PLSA (Hofmann, 1999) and LDA (Blei et ...from text corpus. However, the sparsity of content in short texts brings new challenges to topic ...fact, ... See full document
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Using deep learning for short text understanding
... given short text and identifying the words that occur frequently with those words are collectively represented as semantic ...in understanding natural ...a topic model and a ... See full document
15
Short Text Classification Based on Latent Topic Modeling and Word Embedding
... To overcome the corpus problem, one way is to expand and enrich the context of data using web resources via search engines [7, 8, 9]. They obtain several results through search engines (e.g. Google) and compute ... See full document
7
Leveraging Meta Information in Short Text Aggregation
... for short text topic modelling is using word correlations or embedding to en- hance topic ...Biterm Topic Model (BTM) (Yan et ...Network Topic Model (WNTM) (Zuo et ... See full document
8
Semantic Hashing to Understanding short text using Neural Networks
... (DRNN) model associated with stacked denoising auto encoder (AE) to capture the semantics of the short ...combine knowledge information and deep neural network for text analysis, so that it ... See full document
6
A Detailed Survey on Topic Modeling for Document and Short Text Data
... the short text into long lengthy pseudo- documents in a different way like: users message aggregation [66], hashtag aggregation [83] under different ...based Topic Model (SATM) for ... See full document
9
Most Trending Topics with Pre-learned Knowledge in Twitter
... trending topic from the large amount of user-generated content (UGC) in social media helps to make easier lots of downstream applications of intelligent ...computing. Topic models, as one of the most ... See full document
9
Personalized QoS Aware for Attribute Analysis of collaborative filtering service
... user-generated short texts on the Internet, such as online question answer system, social media comments, tweets and ...Such short texts as online reviews are usually subjective and semantic ...The ... See full document
6
Leveraging Hierarchical Category Knowledge for Data Imbalanced Multi Label Diagnostic Text Understanding
... free-form text gener- ated by clinicians during patient encounters, and a set of metadata diagnosis codes from the Inter- national Classification of Diseases (ICD), which represent the diagnoses and procedures in ... See full document
5
A Novel Content Enriching Model for Microblog Using News Corpus
... the short text represen- tation has been intensively ...various topic models are among the most frequently used techniques in this ...external knowledge has been found helpful (Hu et ... See full document
6
Deep Short Text Classification with Knowledge Powered Attention
... Short Text Classification Existing methods for text clas- sification can be divided into two categories: explicit rep- resentation and implicit ...explicit model depends on human-designed ... See full document
8
Word Co-occurrence Augmented Topic Model in Short Text
... years, topic models have been utilized for social media ...apply topic models in social media for event tracking (Lin et ...usually short. These short text contexts make topic ... See full document
20
Leveraging Lexical Cohesion and Disruption for Topic Segmentation
... respective topic segments in a text (or between two texts) are very differ- ent from one another, local methods are ...when short segments are present. Short windows will render compari- son ... See full document
11
Peer assessing in Higher Education: perspectives of students and staff
... insufficient knowledge and insufficient understanding of the assessment ...deeper understanding of the content, work and processes, although this would require confidence and ... See full document
23
Leveraging Adjective Noun Phrasing Knowledge for Comparison Relation Prediction in Text to SQL
... truth knowledge (denoted as ...phrasing knowledge (970 pairs) with the Spider column names using Equa- tion 4, we obtain 631 distinct pairs where 598 pairs exist in the ground-truth knowledge, the ... See full document
6
Authorship Attribution with Author aware Topic Models
... the topic-based methods, we used the same overall number of topics for all the topic ...best topic settings: 100 for PAN’11 and 400 for Blog, with DADT’s author/document topic splits being ... See full document
6
Determinants of auction success and auction price premium
... the market is not in a recession, homogenous properties, located in central region and there is a relatively high turnout. In Malaysia, Chan et al. (2008) investigated the characteristics of problematic residential ... See full document
38
Investigating the Effect of Cultural Schemata Activation on EFL Learners’ Listening Comprehension
... existing knowledge enhances their listening comprehension ...heard text (Bilokcuoglu, ...attending, understanding and interpreting, remembering, and responding (Goh, 2002, as cited in Bilokcuoglu, ... See full document
6
Chinese Short Text Classification Based on Domain Knowledge
... Table 3 shows the overall optimized result of each method with its optimized K on the test set, and Figure 3 shows the optimized result of each domain in more details. We can find that our method achieves the highest ... See full document
5
Textual Relations and Topic Projection: Issues in Text Categorization
... the text-construal Note that the entailment relation is changed with the addition of newer ...one text-construal to its successive text- ...a text- ...the topic as well as entailment ... See full document
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