Short Text
A Self Training Approach for Short Text Clustering
... Short text clustering is a challenging problem when adopting traditional bag-of-words or TF- IDF representations, since these lead to sparse vector representations for short ...three short ...
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Compression of Short Text on Embedded Systems
... for short text sequences of the file paper4 for lcc with training data from ...for text sequences larger than 75 Bytes, which similarly holds true for the model order three in figure b) with the ...
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Short Text Clustering via Convolutional Neural Networks
... a short text collection X, the goal of this work is to cluster these texts into clusters C based on the deep feature representation h learned from CNN ...
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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 ...
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Understanding a reader's attraction to a literary short text
... As a reader, I became interested in exploring the short text through discourse analysis (DA). DA may be seen as a “heterogeneous discipline” (Mc- Carthy, 1991, p. 7) and a multi-functional tool (Gee, 2011) ...
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A Dataset for Research on Short Text Conversations
... for short-text conversation, to exploit the vast amount of short conversation in- stances available on social ...of short-text conversation based on the real-world instances from Sina ...
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Research of Collaborative Filtering Recommendation Algorithm for Short Text
... Short text, based on the platform of ...relatively short time. Recommendation system analyzing user’s interest by short texts becomes more and more impor- ...
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Homonym Detection For Humor Recognition In Short Text
... In this paper, automatic homophone- and ho- mograph detection are suggested as new useful features for humor recognition systems. The system combines style-features from previous studies on humor recognition in ...
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Using deep learning for short text understanding
... a short text as search query may work well for popular queries but for unpopular queries, the search engine will most likely return some irrelevant results which acts as a noise to the short query ...
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Automatic transfer learning for short text mining
... the short text data by utilizing the long text knowledge such as web ...in short text learning tasks, which highly increases the learning ...the short text classification, ...
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Distributional Representations of Words for Short Text Classification
... in short text classification (STC) through word embeddings – distribu- tional representations of words learned from large unlabeled ...Wikipedia text. We assume that a short text ...
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An Evaluation of Short Text Similarity Matching from Text Pairs
... using different model to test these similarity metrics, we found that Jaro-Winkler performed better than CACT's, WordNet- based and Wikipedia-based. First, we explored record linkage similarity metrics to determine which ...
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Semantic Hashing to Understanding short text using Neural Networks
... understanding short text, where we perform texts as a vectors with Deep Neural Networks (DNN), and use a semantic network to determine our intention for clustering and understanding short ...of ...
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Syntactic and Semantic Kernels for Short Text Pair Categorization
... Automatic detection of general relations between short texts is a complex task that cannot be carried out only relying on lan- guage models and bag-of-words. There- fore, learning methods to exploit syntax and ...
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Neural Responding Machine for Short Text Conversation
... for Short-Text Conver- ...put text, while both encoding and decod- ing are realized with recurrent neural net- works ...input text, outperforming state- of-the-arts in the same setting, ...
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Aggregated Semantic Matching for Short Text Entity Linking
... a text fragments and link them to a reference knowledge ...long text has been well studied in previous work. However, short text entity link- ing is more challenging since the texts are noisy ...
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Leveraging Meta Information in Short Text Aggregation
... In addition to the aforementioned aggregation or pooling based models, another popular re- search direction for short text topic modelling is using word correlations or embedding to en- hance topic models. ...
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S3 TM : scalable streaming short text matching
... streaming short text matching within a data center environment is the routing of publica- tions and placement of subscriptions to the machines where the matching is to be ...
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Falcon: A Novel Chinese Short Text Classification Method
... the short text classification is still a research hot topic, with obviously problem in the features sparse, high-dimensional text data and feature ...express text directly, a simple but new ...
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Fine Grained Sentence Functions for Short Text Conversation
... This work introduces the STC-SeFun dataset, which consists of short-text conversation pairs with their sentence functions manually annotated. We first show that classifiers trained on the STC- SeFun dataset ...
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