[PDF] Top 20 Metaphor Detection through Term Relevance
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Metaphor Detection through Term Relevance
... Shutova et al. (2010) use manually annotated seed sentences to generate source and target do- main vocabularies via spectral clustering. The re- sulting domain clusters are used for selectional preference induction in ... See full document
9
Metaphor Detection with Topic Transition, Emotion and Cognition in Context
... domain-specific term relevance metric, which measures how typ- ical a term is for the domain associated with the literal usage of a word, and common relevance, which measures how common a word ... See full document
10
Metaphor Detection in Discourse
... the metaphor detection problem similar to outlier detection or anomaly detection tasks, and proposed to use topic signatures as lexical coher- ence ...domain term relevance, and ... See full document
9
A Report on the 2018 VUA Metaphor Detection Shared Task
... automated detection of metaphor has become an increasingly popular topic, which manifests itself in both a variety of approaches and in an increasing variety of data to which the methods are ... See full document
11
A Novel Effective Algorithm for Improving Information Retrieval on Document Streams
... quantum detection principle in order to re- weight each and every object that is matched with our query keyword and finally we try to re-rank the documents retrieved from an Information retrieval ...finding ... See full document
11
Leveraging Eventive Information for Better Metaphor Detection and Classification
... Metaphor detection has been both chal- lenging and rewarding in natural language processing ...Since metaphor detection is another culturally based conceptual representation, we hy- pothesize ... See full document
11
Two Approaches to Metaphor Detection
... the metaphor(s) dealing with one of the target subdomains of economic inequality, if there was ...a metaphor was detected, the system had to delineate the specific words involved in the ...the ... See full document
6
One Size Fits All? A simple LSTM for non literal token and construction level classification
... level metaphor detection) and Table 4 (classification of particle ...token-level metaphor detection and classification of idiomatically used infinitive-verb ... See full document
11
Token Level Metaphor Detection using Neural Networks
... We presented a novel approach for supervised metaphor detection, combining pre-trained word embeddings with a neural network architecture. Al- though we showed that our approach works well with English ... See full document
6
Metaphor Detection with Cross Lingual Model Transfer
... characterize metaphor as reasoning about one thing in terms of another, ...a metaphor is a type of conceptual mapping, where words or phrases are applied to objects and actions in ways that do not permit a ... See full document
11
Semantic Signatures for Example Based Linguistic Metaphor Detection
... of metaphor research has sought to model the human processing of metaphor as a semantic space within which source and tar- get concepts can be placed such that the similar- ity between their representations ... See full document
9
Supervised Metaphor Detection using Conditional Random Fields
... Amsterdam Metaphor corpus (Steen et ...for metaphor in a sentence is based on anomaly between basic meaning of the term and contextual meaning of the term in the given sentence (Pragglejaz ... See full document
10
Voice and narrative : realities, reasoning and research through metaphor
... that, through a subjective, interpretative process I was beginning to recognise a metaphor emerging on two levels, explicit and ...That metaphor was the metaphor of ... See full document
250
Classification of terrorism based on tweet text post on twitter using term weighting schemes
... three term weighting schemes on two datasets are used to improve the automated content-based classification techniques, which is required to filter out unwanted ... See full document
21
The use of the term ‘DNA’ as a missiological metaphor in contemporary Church narratives
... participating through the Holy Spirit in the Son’s mission from the Father to the ...the term DNA by its leadership in reference to the local church’s values and its attitude towards ...the term DNA ... See full document
5
The Metaphor Interpretation Test: Cognitive Processes Involved and Age Group Differences in Performance
... knowledge, the context of the conversation, and social cues from the co-conversant or author (Martin & McDonald, 2003). These abilities also involve integrating information from various cognitive and at times ... See full document
138
Modelling the interplay of metaphor and emotion through multitask learning
... tween metaphor and emotion within a com- putational framework, by proposing the first joint model of these ...that metaphor identification and emotion prediction mutually benefit from joint learning and our ... See full document
12
Reinterpreting The Learning Organisation
... Importantly, narratives and action are intricately connected because narratives (whether they are personal or cultural) lead individuals to intently act in new ways, for example, physical acts or even the act of ... See full document
16
Optimizing an Arabic Query using Comprehensive Query Expansion Techniques
... [32], term similarity (which is a term- to-term relationship) is identified and then the thesaurus for a word is set from words with high resemblance to that ... See full document
8
Lexical Priming and Metaphor: Application of the theory of Lexical Priming to metaphoric language.
... 49 One issue that Hanks (2013) brings forward, with regards to Hoey’s (2005) theory, is one relevant specifically to metaphor. The Lexical Priming theory suggests that there are salient patterns in language and ... See full document
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