[PDF] Top 20 Using Language Learner Data for Metaphor Detection
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Using Language Learner Data for Metaphor Detection
... Recently, state-of-the-art results on various lin- guistic tasks were accomplished by architectures using neural-network based WEs. Baroni et al. (2014) conducted a set of experiments comparing the popular ... See full document
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Token Level Metaphor Detection using Neural Networks
... supervised metaphor detection, combining pre-trained word embeddings with a neural network ...English data, comparing favorably to a state- of-the-art system that employs elaborate features, we still ... See full document
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Supervised Metaphor Detection using Conditional Random Fields
... WordNet ® (Princeton University, 2010) is an online machine readable lexical database for English language developed by Christiane Fellbaum at Princeton University. In WordNet ® , words are grouped on the basis of ... See full document
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Cross Lingual Metaphor Detection Using Common Semantic Features
... In a more recent work, Turney et al. (2011) sug- gested that the degree of abstractness of a word’s context is correlated with the likelihood that the word is used metaphorically. To compute the ab- stractness of a word, ... See full document
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Finding Structure in Figurative Language: Metaphor Detection with Topic based Frames
... of metaphor frame templates as a step toward detecting metaphor in an extended ...duction using a semi-supervised bootstrapping ap- ...established metaphor detection task which ... See full document
11
High Order Sequence Modeling for Language Learner Error Detection
... Figure 1 shows the structure of our MEMM with a Markov order of five (the diagram only shows the complete set of arcs for the last state). The in- put sentence contains the token sequence the past year I was stayed … ... See full document
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Building a Korean Web Corpus for Analyzing Learner Language
... of learner Korean made up of essays from college students (Lee et ...common language classroom topics such as Ko- rean language, Korea, friends, family, and ...raw learner data, ... See full document
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Automatic Metaphor Detection using Large Scale Lexical Resources and Conventional Metaphor Extraction
... lexical data in a resource like WordNet, where metaphors are coded into the senses and so would never be detected by any algorithm based on the violation of preferences, since there would always be a constraint ... See full document
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The effect of disfluencies and learner errors on the parsing of spoken learner language
... spoken learner data features many disfluencies and errors, with over a quarter of the 2262-word testset affected in some ...error detection (and correction) is a burgeoning field (see for example the ... See full document
8
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
... training data (Rei et ...foreign language learners and commercial entities may feel uncom- fortable granting access to their ...unannotated data, using high-confidence predictions as ground ... See full document
7
One Size Fits All? A simple LSTM for non literal token and construction level classification
... natural language processing tasks, but few have applied them to metaphor detection (Do Dinh and Gurevych, 2016; Rei et ...or detection of non-literal and figurative language in ... See full document
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Text ABSTRACT pdf
... low language proficiency, tend to use reduction strategy more ...low language proficiency have no define answer on whether to approve the role reduction strategies play in improving oral communicative ... See full document
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Metaphor Interpretation and Context based Affect Detection
... Therefore, a Markov chain is used to learn from the emotional context shown in the rec- orded transcripts for each sub-theme and for each character, and generate other possible rea- sonable unseen emotional context ... See full document
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Learning with learner corpora: Using the TLE for native language identification
... L1 detection (Koppel et al., 2005) classified L2 texts using fea- tures such as function words, part-of-speech bi- grams, and spelling and grammatical ...of learner En- glish, and the researchers ... See full document
7
Border Wars: Narratives and Images of the US-Mexican Border on TV
... It also obscures the fact that the border is only one facet of complicated immigration and drug transportation networks. These networks stretch from South America, through Mexico and the border, and end up in the ... See full document
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Metaphor Detection in a Poetry Corpus
... Neuman et al. (2013) describe a statistical model based on Mutual Information and selec- tional preferences. They suggest using a large- scale corpus to find the concrete nouns which most frequently occur with a ... See full document
9
Change detection in rice area using remote sensing data
... statistical data is very vital for spatial planning, management and utilization of ...are using in the investigation of changes in land use and land cover as extremely useful ...employed using ... See full document
5
Read-Aloud and the English Language Learner.
... Engagement with read-aloud lessons. Circuit II consisted of delivery of the first 14 read-aloud sessions, which were aligned with county performance definitions and indicators for English language learners. The ... See full document
356
On Grammaticality in the Syntactic Annotation of Learner Language
... wherein learner language is (over)compared to the target language, and the de- gree to which such comparison affects the conclu- sions ...of learner language is in some sense ideal for ... See full document
10
What metaphor identification systems can tell us about metaphor in language
... of metaphor- in-language which makes specific explicit and im- plicit assumptions about what metaphor-in-language is and what properties are essential for distinguish- ing metaphoric ... See full document
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