[PDF] Top 20 Sentence Subjectivity Detection with Weakly Supervised Learning
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Sentence Subjectivity Detection with Weakly Supervised Learning
... for sentence-level subjectivity detection, which automatically identifies whether a given sentence expresses opinion or states ...for subjectivity classification, we view the problem as ... See full document
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Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning
... Feature description plays an important role in the task of object detection in optical RSIs. However, the performance of the existing feature descriptions in RSI analysis is still far from satisfactory. The main ... See full document
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Towards Accurate Event Detection in Social Media: A Weakly Supervised Approach for Learning Implicit Event Indicators
... While the sparsity and inconsistency of the twitter vocabulary tend to ambiguate the notion of contextual similarity, the final clusters obtained from either feature set (BoW or GloVe), reflected a few interesting ... See full document
8
Multi-Entity Polarity Analysis and Detection of Subjectivity in Financial Documents
... multiple-model learning method for the opinion detection task and polarity classification in financial documents that cite multiple ...a supervised hierarchical method to infer polarity at the entity ... See full document
14
A Weakly Supervised Learning Approach for Spoken Language Understanding
... weakly supervised training scenario with the pool size of 200, the active learning and self- training procedure ran 8 ...with supervised training for semantic classifica- ...the ... See full document
9
Weakly Supervised Learning for Hedge Classification in Scientific Literature
... The training and classification models we have pre- sented require the setting of two parameters: the smoothing parameter α and the number of features per sample m. Analysis of the effect of varying α on feature ranking ... See full document
8
Sentence Level Subjectivity Detection Using Neuro Fuzzy Models
... detect sentence- level subjectivity by means of two supervised machine learning approaches: a Fuzzy Control System and Adaptive Neuro-Fuzzy Inference ...for subjectivity analy- ... See full document
7
Weakly Supervised Object Detection by using Fast R CNN
... Deep learning is creating major advances in determination issues that have resisted the simplest tries of the synthetic Intelligence Community for several ...deep learning has made extraordinarily promising ... See full document
6
Learning Representations for Weakly Supervised Natural Language Processing Tasks
... A growing body of theoretical and empirical evidence suggests that traditional, manually crafted features for a variety of NLP tasks limit systems’ performance in this weakly supervised learning for ... See full document
36
Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions
... for learning semantic parsers have received significant attention, ...previous supervised CCG learning work (Zettlemoyer & Collins, 2005, 2007; Kwiatkowski et ...for learning semantic ... See full document
14
A Supertag Context Model for Weakly Supervised CCG Parser Learning
... atoms have features associated, then the atoms are allowed to unify if the features match, or if at least one of them does not have a feature. In defining κ, it is also important to ignore possible arguments on the wrong ... See full document
10
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
... Intuitively, although a tweet may not explicitly express an attitude towards the given target, it usually talks about one or more target-related topics, and expresses attitudes towards these topics to implicitly stand ... See full document
8
A Weakly Supervised Bayesian Model for Violence Detection in Social Media
... The experimental setup consists of three stages: 1) derivation of word prior lexicon; 2) training of VDM and baselines; and 3) testing. For the first stage, we explored three different ways to construct a la- belled ... See full document
9
A Weakly Supervised Model for Sentence Level Semantic Orientation Analysis with Multiple Experts
... the weakly supervised Multi-Experts Model (MEM) for sentence-level rating ...ensemble learning (Dietterichl, 2002) to learn the most con- fident indicators and to exploit domain-dependent ... See full document
11
Adversarial Training for Weakly Supervised Event Detection
... a supervised learning ap- proach to train models on human-annotated data, and their requirement of human-annotated data is a bottleneck in ...those supervised ED methods, the weakly ... See full document
11
Weakly Supervised Spatio Temporally Grounding Natural Sentence in Video
... Implementation Details. Similar to (Zhou et al., 2018), we use the region proposal network from Faster-RCNN pretrained on MSCOCO (Lin et al., 2014) to extract frame-level region proposals. For each video, we extract 30 ... See full document
11
Weakly Supervised Bayesian Learning of a CCG Supertagger
... by sentence, and each sentence has a known start and end tag, the tags chosen dur- ing the sampling of one sentence cannot affect the sampling of another sentence in the same ... See full document
10
Multi Task Transfer Learning for Weakly Supervised Relation Extraction
... cial weakly-supervised setting when we have only a few seed instances of the tar- get relation type we want to extract but we also have a large amount of labeled instances of other relation ...multi-task ... See full document
9
Supervised and Unsupervised Learning for Sentence Compression
... K&M also, in effect, weight shorter sentences more strongly than longer ones based upon their lan- guage model. In their papers on sentence compres- sion, they give an example similar to our “buy large toys” ... See full document
8
Weakly Supervised Natural Language Learning Without Redundant Views
... Although co-training produces substantial improve- ments over the baseline at its best parameter settings, a closer examination of our results reveals that they cor- roborate previous findings: the algorithm is sensitive ... See full document
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