document representations
Low Rank Approximations of Second Order Document Representations
... fast document compar- ison, and compact document ...low-rank representations of only 3–4 times the size of the mean vector give most accurate matching, and in standard sentence comparison tasks, ...
11
Robust Document Representations for Cross Lingual Information Retrieval in Low Resource Settings
... for document search (Vuli´c and Moens, 2015; Litschko et ...learn representations from com- parable data or independent monolingual data and alleviate the need for full-fledged machine trans- ...
9
Translingual Document Representations from Discriminative Projections
... finding document projec- tions, CL-LSI, OPCA, CCA, JPLSA, and CPLSA are equally fast: they perform a matrix multiplica- tion and require O(nk) operations, where n is the number of distinct words in the documents ...
11
Supporting systematic reviews using LDA-based document representations
... Our experiments demonstrated that the performance of BOW SVM with linear kernel function has produced the most robust results achieving the highest values in almost every metric, except for recall. But on any system- ...
12
From Bilingual Dictionaries to Interlingual Document Representations
... language document similarities to respect the given ...inter-lingual document similarities at all, we hope that its supervised version is robust to noisy ...
6
Cross Lingual Sentiment Classification with Bilingual Document Representation Learning
... Cross-lingual sentiment classification aims to adapt the sentiment resource in a resource-rich language to a resource-poor language. In this study, we propose a representation learning approach which simultaneously ...
10
Download Download PDF
... of document representations using the vector-space model that is widely used in information retrieval, and (2) generation of frequent itemsets in association rule mining using the apriori ...
11
Improving Low Resource Cross lingual Document Retrieval by Reranking with Deep Bilingual Representations
... In this paper, we propose to boost low- resource cross-lingual document retrieval per- formance with deep bilingual query-document representations. We match queries and doc- uments in both source and ...
7
Social Media Text Classification under Negative Covariate Shift
... on document representation. Alternative document representations have been proposed in the past and have been shown to perform well in many applications (Radev et ...riched document ...
10
Neural Sentiment Classification with User and Product Attention
... of document-level sentiment classi- ...enhance document representations. The en- hanced document representation is used as features for sentiment ...
10
Self Supervised Learning for Contextualized Extractive Summarization
... the document-level structure and ...the document during the pre-training pro- cess will be transferred and benefit on the sum- marization ...same document and predicts if a sentence is ...the ...
7
Word and Document Embedding with vMF Mixture Priors on Context Word Vectors
... learn document embeddings, by replacing word-word co-occurrences by document-word co- ...for document mod- ...ument representations learned by our model out- perform these topic ...
10
Encoding Position Improves Recurrent Neural Text Summarizers
... Other works explore abstractive sentence com- pression with paraphrasing (Nayeem et al., 2019), different network training regimes (Ayana et al., 2016) or architectures that jointly learn summa- rization and semantic ...
9
A Language independent and Compositional Model for Personality Trait Recognition from Short Texts
... the document level, in- troducing Hierarchical Attention Networks where two bi-directional Gated Recurrent Units (GRUs) are used to process the sequence of words and then sentences respectively with the ...
11
Inverted indexing for cross lingual NLP
... for document classification typically try to reconstruct bag-of-words input vectors at the output layer, using back-propagation, passing the representation through a smaller middle ...
10
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
... (Le and Mikolov, 2014) proposed two models for distributional representation of a document, namely, Distributed Memory Model Paragraph Vectors (PV-DM) and Distributed BoWs para- graph vectors (PV-DBoW). In PV-DM, ...
11
Semi Supervised Representation Learning for Cross Lingual Text Classification
... cross-lingual representations, espe- cially when two languages (English, Japanese) are very ...whole document translations, but relies on the same sim- ple word-pair translations used in ...
11
Attention over Attention Neural Networks for Reading Comprehension
... Furthermore, we also investigate if the model tends to choose a high-frequency candidate than a lower one, which is shown in Figure 3. Not sur- prisingly, we found that both models do a good job when the correct answer ...
10
Document based Recommender System for Job Postings using Dense Representations
... precomputed, document vectors can be computed online in the platform pipeline, such that vectors of new documents are available when needed by the recommender ...
9
Concept Search: Semantics Enabled Information Retrieval
... for document retrieval than the single ...a document corpus, to analyze the structure and content of these phrases, and to organize them in a subsumption ...
160