PPT-Distributional Considerations

in Climate Policy CoBenefits Carbon Rent and Adaptation James K Boyce Department of Economics amp Political Economy Research Institute University of Massachusetts Amherst Advanced Graduate Workshop on Development amp Globalization. se 1 Introduction Distributional approaches to meaning acquisition utilize distributional proper ties of linguistic entities as the building blocks of semantics In doing so they rely fundamentally on a set of assumptions about the nature of language Similarity. David Kauchak. CS159 Fall 2014. Admin. Assignment 5 out. Word similarity. How similar are two words?. sim(w. 1. , w. 2. ) = . ?. ?. score:. rank:. w. w. 1. w. 2. w. 3. list: w. 1. . and . fig, olive, plum, pineapple, strawberry, etc. and asked subjects to rate on a 7-point scale how good an example each member was of its category. The results showed a clear trend of category gradednes While economic instruments are often seen as being particularly regressive, other policy instruments may have equivalent (or worse) effects The focus of much work on the distributional impacts of envi A Microsimulation Approach. Poverty Reduction and Equity Group. Poverty Reduction and Economic Management Network. World Bank. April 2011. Outline. Background. Approach. Model. Basic structure and data requirements.  . Ian Gough. CASE, LSE. Goals of paper. Contemporary policies to reduce emissions of greenhouse gases. will have distributive . consequences. Thus . implications for the scope and remit of . ‘social policy’. . Word Association and Similarity. Ido Dagan. Including Slides by:. . Katrin. Erk (mostly), Marco Baroni,. Alessandro Lenci (BLESS). 2. Word Association Measures. Goal: measure the statistical strength of word (term) co-occurrence in corpus. Katrin Erk. University of Texas at . Austin. Meaning in Context Symposium. München. September 2015. Joint work with Gemma . Boleda. Semantic features by example: . Katz & Fodor. Different meanings of a word characterized by lists of semantic features. IM4Q Annual Statewide Conference 2016. Guy . Caruso - Institute on . Disabilitie. s. . Nancy . Cohlhepp. . & Kathy . Glosser - Clarion Vocational . Services;. Jennifer . Harniman-Crangle - Chester County Department of . Harris T. Lin. , . Sanghack. Lee, . Ngot. Bui and . Vasant. . Honavar. Artificial Intelligence Research Laboratory. Department of Computer Science. Iowa State University. htlin@iastate.edu. Introduction. Symbolic semantics,. DISTRIBUTIONAL SEMANTICS. Heng. . Ji. jih@rpi.edu. Oct13, 2015. Acknowledgement: distributional semantics slides from Omer Levy, . Yoav. Goldberg and . Ido. Dagan. Word Similarity & Relatedness. Word . Similarity: . Distributional Similarity (I). Problems with thesaurus-based . meaning. We don’t have a thesaurus for every language. Even if we do, . they have problems with . recall. M. any . IM4Q Annual Statewide Conference 2016. Guy . Caruso - Institute on . Disabilitie. s. . Nancy . Cohlhepp. . & Kathy . Glosser - Clarion Vocational . Services;. Jennifer . Harniman-Crangle - Chester County Department of . Omer Levy. . Ido. Dagan. Bar-. Ilan. University. Israel. Steffen Remus Chris . Biemann. Technische. . Universität. Darmstadt. Germany. Lexical Inference. Lexical Inference: Task Definition.