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Leon Breeden Personal Cassettes Tapes, circa 1950-2007
Recording of Leon Breeden recording an audio correspondence for Allen Scott. In this recording, Breeden speaks about his personal thoughts on the jazz field and jazz education. These thoughts were used in Allen Scott's article in The NAJE Educator, Feb/March 1978 Vol. X, No. 3 issue on the past ten years of jazz education
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Large scale knowledge graphs (KGs) such as Freebase are generally incomplete. Reasoning over multi-hop (mh) KG paths is thus an important capability that is needed for question answering or other NLP tasks that require knowledge about the world. mh-KG reasoning includes diverse scenarios, e.g., given a head entity and a relation path, predict the tail entity; or given two enti- ties connected by some relation paths, predict the unknown relation between them. We present ROPs, recurrent one-hop predictors, that predict entities at each step of mh-KB paths by using recurrent neural networks and vector representations of entities and relations, with two benefits: (i) modeling mh-paths of arbitrary lengths while updating the entity and relation representations by the training signal at each step; (ii) handling different types of mh-KG reasoning in a unified framework. Our models show state-of-the-art for two important multi-hop KG reasoning tasks: Knowledge Base Completion and Path Query Answerin
Determining the Types of Temporal Relations in Discourse
The ability to describe the order of events is crucial for effective communication. It is used to describe causality, to plan and to relay stories.
Event ordering can be thought of in terms of binary temporal relations which hold between event pairs or pairs of times and events. Complex event structures can be modelled as compositions of these pairs.
Temporal relations can be expressed linguistically in a variety of ways.
For example, one may use tense to describe the relation between the time of speaking and other events, or use a temporal conjunction to temporal situate an event relative to time.
In the area of automatic temporal information extraction, determining the type of temporal relation between a given pair of times or events is currently the hardest task.
Very sophisticated approaches have yielded only small improvements over initial attempts.
Rather than develop a generic approach to event ordering through relation typing, a failure analysis informs grouping and segmentation of these temporal relations according to the type of information that can be used to temporally relate them. Two major sources of information are identified that provide typing information for two segments: relations explicitly described by a signal word, and relations involving a shift of tense and aspect.
Following this, we investigate automatic temporal relation typing in both these segments, presenting results, introducing new methods and a generating set of new language resources
Author Profiling for Abuse Detection
The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of hateful and offensive language on the Internet. Previous research suggests that such abusive content tends to come from users who share a set of common stereotypes and form communities around them. The current state-of-the-art approaches to abuse detection are oblivious to user and community information and rely entirely on textual (i.e., lexical and semantic) cues. In this paper, we propose a novel approach to this problem that incorporates community-based profiling features of Twitter users. Experimenting with a dataset of 16k tweets, we show that our methods significantly outperform the current state of the art in abuse detection. Further, we conduct a qualitative analysis of model characteristics. We release our code, pre-trained models and all the resources used in the public domain
Author Profiling for Abuse Detection
The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of hateful and offensive language on the Internet. Previous research suggests that such abusive content tends to come from users who share a set of common stereotypes and form communities around them. The current state-of-the-art approaches to abuse detection are oblivious to user and community information and rely entirely on textual (i.e., lexical and semantic) cues. In this paper, we propose a novel approach to this problem that incorporates community-based profiling features of Twitter users. Experimenting with a dataset of 16k tweets, we show that our methods significantly outperform the current state of the art in abuse detection. Further, we conduct a qualitative analysis of model characteristics. We release our code, pre-trained models and all the resources used in the public domain
Leon Battista Alberti: <i>On Painting</i>
Leon Battista Alberti was one of the most important humanist scholars of the Italian Renaissance. Active in mid-fifteenth-century Florence, he was an architect, theorist, and author of texts on perspective and painting. Leon Battista Alberti: On Painting is a cardinal work that revolutionized Western art. In this volume Rocco Sinisgalli presents a new English translation and critical examination of Alberti's seminal text. Dr Sinisgalli reverses the received understanding of the relationship between the Italian and Latin versions of Alberti's treatise by demonstrating that Alberti wrote it first in Italian and then translated it into a polished Latin over the course of several decades. This volume is richly illustrated to help demonstrate how Alberti understood optics and art.</jats:p
Leon Saudet's Farm
Photograph - Grain stooks at Leon Saudet's farm, west Athabasca, Albert
Leon Laizer Watters
Image show Leon L. Watters (far left) at Pioneer Day Celebration in Logan, Utah with Governor Dern. Leon L. Watters was a Utah-born scientist, industrialist, and author from an early Jewish pioneer community in Salt Lake City
Six Characters In Search Of An Author
Program from the Little Theatre of Dallas' 1932 production of 'Six Characters In Search Of An Author,' written by Luigi Pirandello and directed by Charles Meredith. Setting arrangement by Alexandre Hogue. Cover art by Leon Dacus. Exhibitions by Olin Herman Travis and Kathryne Hail Travis
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