[PDF] Top 20 Weak Supervision for Learning Discourse Structure
Has 10000 "Weak Supervision for Learning Discourse Structure" found on our website. Below are the top 20 most common "Weak Supervision for Learning Discourse Structure".
Weak Supervision for Learning Discourse Structure
... curate discourse structures; for instance, with- out global structural constraints, GEN and local models may not yield the directed acyclic graphs (DAGs), required by ... See full document
10
Data Programming for Learning Discourse Structure
... a weak supervision approach, as implemented in Snorkel, with a standard super- vised model on the difficult task of discursive at- ...pervised learning approach, showing it to be a promising method ... See full document
6
Predicting Discourse Structure using Distant Supervision from Sentiment
... deep learning have not enhanced discourse pars- ing to the same extend as they have revolutionized many other areas of NLP is the small amount of training data ... See full document
11
Bootstrapping Conversational Agents with Weak Supervision
... a weak classifier constructed with indepen- dent coverage to label a subset of the ...a structure learning process to model dependen- cies between them (allowing to relax the assumption that each ... See full document
6
Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
... Unlike action recognition, temporal action detection is uti- lized to identify the action categories of given untrimmed videos as well as the start and end time. Early approaches address this task utilizing temporal ... See full document
8
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
... Harnessing the statistical power of neu- ral networks to perform language under- standing and symbolic reasoning is dif- ficult, when it requires executing effi- cient discrete operations against a large knowledge-base. ... See full document
11
Posterior Regularization for Learning with Side Information and Weak Supervision
... the learning, EM stabilizes and achieves much better performance, also beating the Hwa et ...from learning the dependency structure of the aligned ... See full document
181
Multi Resolution Language Grounding with Weak Supervision
... of discourse to create a proxy of labels from which we learn statistical and structural fea- tures of good ...the learning of finer-grained corre- spondences between the language and the world ... See full document
11
Knowledge Based Weak Supervision for Information Extraction of Overlapping Relations
... Knowledge-based weak supervision, using structured data to heuristically label a training corpus, works towards this goal by enabling the automated learning of a potentially unbounded number of ... See full document
10
Training Complex Models with Multi-Task Weak Supervision
... machine learning models continue to increase in complex- ity, collecting large hand-labeled training sets has become one of the biggest roadblocks in ...of supervision that provide noisier but cheaper ... See full document
9
The Weak Structure of the Nucleon
... its structure, ...deduced structure as ...the structure is determined by the fundamental theory, quan- tum chromo-dynamics (QCD), it is used to constrain the ...The weak structure at ... See full document
15
Weakly-Supervised Hierarchical Text Classification
... the supervision source is class-related keywords, WeSHClass outperforms Hier-Dataless and WeSTClass, which shows that WeSHClass can better leverage word-level supervision sources in hierarchical text ... See full document
8
Short Selling and Executive Pay for Performance Sensitivity
... the supervision mechanism of Sup, referred to Fang and Jin (2013) [27] research methods, we select the first big shareholder’s proportion (Top), the second to fifth largest shareholder’s proportion (ranked by 2 - ... See full document
15
A Comparison of Weak Supervision methods for Knowledge Base Construction
... We identify two methods for mapping entities to mentions to create positive training examples. The first maps entity pairs to sentences in a training cor- pus native to our test domain (e.g., TAC KBP 2014). We refer to ... See full document
6
Learning Hierarchical Discourse level Structure for Fake News Detection
... hierarchical discourse-level structure for fake news detection is ...explored discourse-level struc- ture in fake news detection and discovered that the way two discourse units of a document ... See full document
11
Nursing students’ perception of the clinical learning environment and supervision in relation to two different supervision models – a comparative cross-sectional study
... From the students’ perspective, the clinical environ- ment has been described as non-supportive, e.g., because of organisational shortcomings, a lacking relationship between students and preceptors, and negative ... See full document
12
Financial Event Extraction Using Wikipedia Based Weak Supervision
... Extraction of financial and economic events from text has previously been done mostly using rule-based methods, with more re- cent works employing machine learning tech- niques. This work is in line with this ... See full document
6
Adversarial Label Learning
... cardiotocograms classified by expert obstetricians (Ayres-de Campos et al. 2000). The original dataset contains 10 classes, we select the most common two classes, resulting in a total of 963 examples. We use ... See full document
8
Cognitive Assessment in Coached Learning Environments
... His current research specialization is in the study of discourse processing, situated cognition and learning, and learning through interactive discourse (e.g., in tutoring, problem-bas[r] ... See full document
17
Board of management members' views about their roles in enhancing the quality of education in primary schools - Busia County, Kenya
... Board of management activities such as supervision of teachers, supervision of curriculum implementation and provision of teaching and learning resources, infrastructural development, pr[r] ... See full document
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