Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Morrison, Clayton T"'
The global output of academic publications exceeds 5 million articles per year, making it difficult for humans to keep up with even a tiny fraction of scientific output. We need methods to navigate and interpret the artifacts -- texts, graphs, charts
Externí odkaz:
http://arxiv.org/abs/2411.14569
Autor:
Noriega-Atala, Enrique, Vacareanu, Robert, Ashton, Salena Torres, Pyarelal, Adarsh, Morrison, Clayton T., Surdeanu, Mihai
We introduce a neural architecture finetuned for the task of scenario context generation: The relevant location and time of an event or entity mentioned in text. Contextualizing information extraction helps to scope the validity of automated finings
Externí odkaz:
http://arxiv.org/abs/2410.07567
Autor:
KC, Dharma, Morrison, Clayton T.
Learning to generate textures for a novel 3D mesh given a collection of 3D meshes and real-world 2D images is an important problem with applications in various domains such as 3D simulation, augmented and virtual reality, gaming, architecture, and de
Externí odkaz:
http://arxiv.org/abs/2403.04225
Autor:
KC, Dharma, Morrison, Clayton T.
Neural machine translation (NMT) methods developed for natural language processing have been shown to be highly successful in automating translation from one natural language to another. Recently, these NMT methods have been adapted to the generation
Externí odkaz:
http://arxiv.org/abs/2305.13504
Autor:
Kwak, Alice Saebom, Israelsen, Jacob O., Morrison, Clayton T., Bambauer, Derek E., Surdeanu, Mihai
This work introduces a natural language inference (NLI) dataset that focuses on the validity of statements in legal wills. This dataset is unique because: (a) each entailment decision requires three inputs: the statement from the will, the law, and t
Externí odkaz:
http://arxiv.org/abs/2210.16989
Publikováno v:
Springer.13836.(2023)388-401
Novel photo-realistic texture synthesis is an important task for generating novel scenes, including asset generation for 3D simulations. However, to date, these methods predominantly generate textured objects in 2D space. If we rely on 2D object gene
Externí odkaz:
http://arxiv.org/abs/2206.08547
We propose a method to teach an automated agent to learn how to search for multi-hop paths of relations between entities in an open domain. The method learns a policy for directing existing information retrieval and machine reading resources to focus
Externí odkaz:
http://arxiv.org/abs/2205.15281
We introduce a family of deep-learning architectures for inter-sentence relation extraction, i.e., relations where the participants are not necessarily in the same sentence. We apply these architectures to an important use case in the biomedical doma
Externí odkaz:
http://arxiv.org/abs/2112.09288
We describe federated reconnaissance, a class of learning problems in which distributed clients learn new concepts independently and communicate that knowledge efficiently. In particular, we propose an evaluation framework and methodological baseline
Externí odkaz:
http://arxiv.org/abs/2109.00150
Autor:
Pyarelal, Adarsh, Valenzuela-Escarcega, Marco A., Sharp, Rebecca, Hein, Paul D., Stephens, Jon, Bhandari, Pratik, Lim, HeuiChan, Debray, Saumya, Morrison, Clayton T.
Models of complicated systems can be represented in different ways - in scientific papers, they are represented using natural language text as well as equations. But to be of real use, they must also be implemented as software, thus making code a thi
Externí odkaz:
http://arxiv.org/abs/2001.07295