Third Workshop on Metaphor in Natural Language Processing
Тезисы до: 04.03.2015
Даты: 05.06.15 — 05.06.15
Область наук: Филологические;
Е-мейл Оргкомитета: firstname.lastname@example.org
Организаторы: University of California, Educational Testing Service, University of California
Metaphor processing is a rapidly growing area in NLP. Characteristic to all areas of human activity (from poetic to ordinary to scientific) and, thus, to all types of discourse, metaphor becomes an important problem for NLP systems. Its ubiquity in language has been established in a number of corpus studies and the role it plays in human reasoning has been confirmed in psychological experiments. This makes metaphor an important research area for computational and cognitive linguistics, and its automatic identification and interpretation indispensable for any semantics-oriented NLP application.
The work on metaphor in NLP and AI started in the 1980s, providing us with a wealth of ideas on the structure and mechanisms of the phenomenon. The last decade witnessed a technological leap in natural language computation, whereby manually crafted rules gradually give way to more robust corpus-based statistical methods. This is also the case for metaphor research. In the recent years, the problem of metaphor modeling has been steadily gaining interest within the NLP community, with a growing number of approaches exploiting statistical techniques. Compared to more traditional approaches based on hand-coded knowledge, these more recent methods tend to have a wider coverage, as well as be more efficient, accurate and robust. However, even the statistical metaphor processing approaches so far often focused on a limited domain or a subset of phenomena. At the same time, recent work on computational lexical semantics and lexical acquisition techniques, as well as a wide range of NLP methods applying machine learning to open-domain semantic tasks, open many new avenues for creation of large-scale robust tools for recognition and interpretation of metaphor.
The aim of the workshop is to discuss issues in computational modeling of metaphor and methodologies for system evaluation, as well as to place the phenomenon within the wider scope of the work done by the NLP community and relate it to the most recent research trends. The main focus of the workshop will be on computational modeling of metaphor using state-of-the-art NLP techniques. However, papers on cognitive, linguistic, and applied aspects of metaphor are also of interest, provided that they are presented within a computational, a formal or a quantitative framework. We also encourage descriptions of proposals and data sets for shared tasks on metaphor processing.
The workshop invites both full papers and short papers for either oral or poster presentation.
Topics will include, but will not be limited to, the following:Identification and interpretation of different levels and types of metaphor Conceptual and linguistic metaphor Lexical metaphor Multiword metaphorical expressions Extended metaphor / metaphor in discourse Conventional / novel / deliberate metaphor
Metaphor processing systems that incorporate state-of-the-art NLP methodsStatistical metaphor processing The use of lexical resources for metaphor processing The use of corpora for metaphor processing Distributional methods for metaphor processing Supervised and unsupervised learning for metaphor processing Identification of conceptual and linguistic metaphor Identification and interpretation of lexical metaphor / multiword metaphor / extended metaphor Lexical metaphor interpretation vs. word sense disambiguation Metaphor paraphrasing Generation of metaphorical expressions Metaphor translation and multilingual metaphor processing
Metaphor resources and evaluationMetaphor annotation in corpora Metaphor in lexical resources Reliability of metaphor annotation Datasets for evaluation of metaphor processing tools Metaphor evaluation methodologies and frameworks Descriptions of proposals for shared tasks on metaphor processing
Metaphor processing for external NLP applicationsMetaphor in machine translation Metaphor in opinion mining Metaphor in information retrieval Metaphor in educational applications Metaphor in dialog systems Metaphor in open-domain and domain-specific applications
Metaphor and cognitionComputational approaches to metaphor inspired by cognitive evidence Cognitive models of metaphor processing by the human brain Models of metaphor across languages and cultures
Metaphor interaction with other phenomena (within a computational, formal or quantitative framework)Metaphor and compositionality Metaphor and abstractness / concreteness Metaphor and persuasion Metaphor and argumentation Metaphor and metonymy Metaphor and grammar Metaphor and Sentiment The use of metaphorical language to express stronger sentiment/evaluation Sentiment processing systems that make use of metaphor as a feature Sentiment processing systems that detect affect associated with metaphorical expressions Metaphor and Social media Processing of metaphoral language in blogging, twitter and other social media How metaphorial language helps shape communication in social media The influence of metaphor on social dynamics
Веб-сайт конференции: https://sites.google.com/site/metaphorinnlp2015/home
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