[PDF] Top 20 Learning Discourse Relations with Active Data Selection
Has 10000 "Learning Discourse Relations with Active Data Selection" found on our website. Below are the top 20 most common "Learning Discourse Relations with Active Data Selection".
Learning Discourse Relations with Active Data Selection
... Since the committee- based sampling method was originally devel- oped for probabilistic classifiers, we extended the method for a decision tree classifier, us-.. ing a statistical techni[r] ... See full document
10
Toward Active Learning in Data Selection: Automatic Discovery of Language Features During Elicitation
... for learning correspondences between semantic structures in the two ...of data more valuable by using ac- tive learning to select the sentences from which the most effective translation rules can be ... See full document
6
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings
... the discourse units ...implicit discourse relation recogni- tion (IDRR), aiming to identify the discourse rela- tions ...in discourse analysis (Knott, 2014; Webber et ...deep learning ... See full document
7
DisSent: Learning Sentence Representations from Explicit Discourse Relations
... for learning vector representations of sentence meaning, representing relations that can only be determined when the meanings of two sentences are ...Penn Discourse Treebank’s implicit rela- tion ... See full document
14
Minimally Supervised Learning of Affective Events Using Discourse Relations
... Japanese data show that our method learns affective events effec- tively without manually labeled ...supervised learning results when la- beled data are ... See full document
8
Semi-supervised learning of causal relations in biomedical scientific discourse
... With the advent of online publishing of scientific research came an avalanche of elec- tronic resources and repositories containing knowledge encoded in some form or another. In the domain of biomedical sciences, ... See full document
24
Active learning for HPSG parse selection
... Active learning attempts to reduce the number of exam- ples needed for training statistical models by allowing the machine learner to directly participate in creating the corpus it ...to active ... See full document
8
Active learning query selection with historical information
... for active learning using uncer- tainty ...of active learning the confidence of the current classifier is calculated using a separate large unannotated dataset, which has undergone the same ... See full document
209
Ensemble based Active Learning for Parse Selection
... a data set from scratch, it is quite possible that we will not know how best to model the task we are labeling that data ...the data is annotated and more has been learned about the ... See full document
8
A discourse based approach for Arabic question answering
... machine learning technique was incorporated with hand crafted cue words that may identify the type of relation ...machine learning is presented by Higashinaka and Isozaki (2008) with the aim of ranking a ... See full document
19
Measuring the Strength of Linguistic Cues for Discourse Relations
... of relations can range from blind and coarse-grain properties of the propositional arguments ...the discourse cues in a given ...implicit discourse relations by only looking at the most ... See full document
10
Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task
... This paper describes Prompsit Language Engi- neering’s submissions to the WMT 2018 par- allel corpus filtering shared task. Our four submissions were based on an automatic clas- sifier for identifying pairs of sentences ... See full document
8
Learning how to Active Learn: A Deep Reinforcement Learning Approach
... Active learning aims to select a small sub- set of data for annotation such that a classi- fier learned on the data is highly ...the active learning as a rein- forcement ... See full document
11
Training Data Enrichment for Infrequent Discourse Relations
... Recent discourse parsers have improved the overall performance of discourse parsing in different ...document-level discourse parser CODRA, which builds a discourse tree by applying an optimal ... See full document
12
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
... machine learning toolkit for regression modeling and active learning to tackle these ...for data fitting, model selection, sample selection (active learning), ... See full document
5
Situated Utterances and Discourse Relations
... to discourse organization is to represent the state of the discourse with an information state (Poesio and Traum, 1997) and associate each move with an appropriate ... See full document
6
Machine Comprehension with Discourse Relations
... identifying discourse relations without explicit markers is sig- nificantly harder than with markers (Pitler et ...of discourse markers anywhere in the manually picked sen- tence(s) for each ... See full document
10
A longitudinal case study of students’ perceptions of academic writing and of themselves as academic writers : the writing experiences of five students who spoke English as an additional language
... An important pedagogic dimension of research on ACLITS and genre is the centrality of making the key academic genres visible and attainable through explicit instruction rather than through exploration and trial (Adam ... See full document
409
People with learning disabilities and ‘active ageing’
... to active ageing serves to highlight stark differences between the lifespans of people without learning disabilities who have largely been economically active, and people with learning ... See full document
12
Realization of Discourse Relations by Other Means: Alternative Lexicalizations
... Cases such as Ex. (3) show that identifying DRMs cannot simply be a matter of preparing a list of fixed expressions and searching for them in the text. We describe in Section 2 how we identi- fied other ways of ... See full document
9
Related subjects