Distinguished Lecture Series November 4, 2014 Raymond Mooney: "Deep Natural Language Semantics by Combining Logical and Distributional Methods using Probabilistic Logic" Traditional logical approaches to semantics and newer distributional or vector space approaches have complementary strengths and weaknesses.We have developed methods that integrate logical and distributional models by using a CCG-based parser to produce a detailed logical form for each sentence, and combining the result with soft inference rules derived from distributional semantics that connect the meanings of their component words and phrases. For recognizing textual entailment (RTE) we use Markov Logic Networks (MLNs) to combine these representations, and for Semantic Textual Similarity (STS) we use Probabilistic Soft Logic (PSL). We present experimental results on standard benchmark datasets for these problems and emphasize the advantages of combining logical structure of sentences with statistical knowledge mined from large corpora.
Open and Exploratory Extraction of Relations and Common Sense from Large Text Corpora - Alan Akbik
Arman Cohan: Text Summarization and Categorization for Scientific and Health-Related Data
What is meaning? Semantics, semiotics, logic & the meaning of words -- Linguistics & Logic 101
Sunil Mohan: Convolutional Models for Textual Relevance Applied to Biomedical Information Retrieval
None of the audio/visual content is hosted on this site. All media is embedded from other sites such as GoogleVideo, YouTube etc. Therefore, this site has no control over the copyright issues of the streaming media.
All issues concerning copyright violations should be aimed at the sites hosting the material. This site does not host any of the streaming media and the owner has not uploaded any of the material to the video hosting servers. Anyone can find the same content on Google Video or YouTube by themselves.
The owner of this site cannot know which documentaries are in public domain, which has been uploaded to e.g. YouTube by the owner and which has been uploaded without permission. The copyright owner must contact the source if he wants his material off the Internet completely.