PPT-Predicting the Semantic Orientation of Adjective

Vasileios Hatzivassiloglou and Kathleen R McKeown Presented By Yash Satsangi Aim To validate that conjunction put constraints on conjoined adjectives and this information can be used to detect their semantic orientation. Semantic Orientation Lexicons. . From Overtly Marked Words and a Thesaurus. †. Institute for Advanced Computer Studies and CLIP lab. ‡. Human-Computer Interaction Lab. Department of Computer Science, . -concepts and facts. -several similar models describe . the organization . of semantic . memory. 1) Collins & . Quillian’s. Hierarchical Network Model. -nodes to represent individual items, ideas, organized hierarchically. Verbs of Falling and Beyond. Katia. . Rakhilina. (NRU HSE, Moscow). “. Verbs, verb phrases and verbal categories”. 23-25 March. Hebrew University of Jerusalem. BEYOND:. Lexical Typology. Main objectives. 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. . P . L . Chandrika. . . Advisors: Dr.. . C. V. Jawahar . . . Centre for Visual Information Technology, IIIT- Hyderabad. Problem Setting . Dominic Oldman. Peter . Haase. Creating the Cultural Heritage Knowledge Graph. ResearchSpace. Project. Goals and context. ResearchSpace. Platform. m. etaphacts. Knowledge Graph Platform. Brief demo. Semantic Orientation Lexicons. . From Overtly Marked Words and a Thesaurus. †. Institute for Advanced Computer Studies and CLIP lab. ‡. Human-Computer Interaction Lab. Department of Computer Science, . 4. th. . International Conf. on Biomedical . Ontology . ICBO 2013. 9. th. . Data Integration in Life Science . DILS 2013. 4. th. . Canadian Semantic Web Conference . CSWS 2013. July 2013 at Concordia University in . Nikhil . Rasiwasia. , . Nuno. . Vasconcelos. Statistical Visual Computing Laboratory. University of California, San Diego. Thesis Defense. Ill pause for a few moments so that you all can finish reading this. . Movement led by W3C that promotes common formats for data on the web. Describes things in a way that computer applications can understand it. Describes the relationship between things and properties of things. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. An adjective (or relative) clause is a . dependent. clause that . functions. as an . adjective. . in a sentence. . It modifies nouns, pronouns, or a whole sentence. . It begins with a relative pronoun. It comes . Introduction. Semantic Role Labeling. Agent. Theme. Predicate. Location. Can we figure out that these have the same meaning?. XYZ . corporation . bought. the . stock.. They . sold. the stock to XYZ .