PPT-Components for a semantic textual similarity system

Focus on word and sentence similarity Formal side define similarity in principle Characterizing word meaning in context Given a word in a particular sentence context Can we characterize its meaning without reference to dictionary senses. Stephen C. Carlson. Australian Catholic University. June 30, 2015. The New Testament. The New Testament has been preserved in more manuscripts than any other work composed in Western antiquity. .. There are three main sources of data:. Ciro . Cattuto. , Dominik Benz, Andreas . Hotho. , . Gerd. . Stumme. Presented by. Smitashree. . Choudhury. Overview. Motivation. Measures of . semantic Relatedness. Semantic . Grounding of measures. WordNet. Lubomir. . Stanchev. Example . Similarity Graph. Dog. Cat. 0.3. 0.3. Animal. 0.8. 0.2. 0.8. 0.2. Applications. If we type . automobile. . in our favorite Internet search engine, for example Google or Bing, then all top results will contain the word . Randy . Goebel. Alberta Innovates Centre for Machine Learning. Department of Computing Science. University of Alberta. Edmonton, Alberta . Canada. rgoebel@ualberta.ca. Fuji-san. BIRS. Science or Engineering?. (Excitement Project). Bernardo Magnini. (on behalf of the Excitement consortium). 1. STS workshop, NYC March 12-13 2012. Excitement Project. EXploring. Customer Interactions through Textual . EntailMENT. analysis . (n)—a detailed examination of the elements or structure of something, typically as a basis for discussion or interpretation.. THUS,. A textual analysis is created to examine a text by breaking it down to its component parts to help one better understand it. . Dominic Oldman. Peter . Haase. Creating the Cultural Heritage Knowledge Graph. ResearchSpace. Project. Goals and context. ResearchSpace. Platform. m. etaphacts. Knowledge Graph Platform. Brief demo. S. imilarity to Semantic Relations. Georgeta. . Bordea. , November 25. Based on a talk by Alessandro . Lenci. . titled “Will DS ever become Semantic?”, Jan 2014. Distributional Semantics . (DS. 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. Lioma. Lecture . 18: Latent Semantic Indexing. 1. Overview. Latent semantic indexing . Dimensionality reduction. LSI in information retrieval. 2. Outline. Latent semantic indexing . Dimensionality reduction. Deduplication o f large amounts of code Romain Keramitas FOSDEM 2019 Clones def foo(name: str): print('Hello World, my name is ' + name) def bar(name: str): print('Hello World, my name is {}'.format(name)) Text Similarity. Motivation. People can express the same concept (or related concepts) in many different ways. For example, “the plane leaves at 12pm” vs “the flight departs at noon”. Text similarity is a key component of Natural Language Processing. Rosalia F. Tungaraza. Advisor: Prof. Linda G. Shapiro. Ph.D. Defense. Computer Science & Engineering. University of Washington. 1. Functional Brain Imaging. Study how the brain works . Imaging while subject performs a task . Designing GNN for Text-rich Graphs. Yanbang Wang, Jul 27, 2020 at UIUC DMG. Collaborated work with Carl Yang, Pan Li and Prof. Jiawei Han. Text-rich Graphs. Usually come with two things:. Node attributes.