PaperMetrixEvidence-aware discovery
EN
Interface language English EN العربية AR Türkçe TR
Create account
Researcher profile

Jaime Carbonell

10 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Advances in Machine Translation and its Application to Digital Library Content

    2018 · KiltHub Repository

    Session chair: Dr. M. D. Tiwari, IIIT Allahabad

  2. Frame-Semantic Role Labeling with Heterogeneous Annotations

    2015

    Meghana Kshirsagar, Sam Thomson, Nathan Schneider, Jaime Carbonell, Noah A. Smith, Chris Dyer. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing …

  3. Learning Concept Graphs from Online Educational Data

    2016 · Journal of Artificial Intelligence Research

    This paper addresses an open challenge in educational data mining, i.e., the problem of automatically mapping online courses from different providers (universities, MOOCs, etc.) onto a universal space of concepts, and predicting latent prerequisite dependencies …

  4. Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training.

    2017 · arXiv (Cornell University)

    In this paper, we propose a generic and simple algorithmic framework for first order optimization. The framework essentially contains two consecutive steps in each iteration: 1) computing and normalizing the mini-batch stochastic gradient; 2) selecting …

  5. Self-Paced Multitask Learning with Shared Knowledge

    2017 · arXiv (Cornell University)

    This paper introduces self-paced task selection to multitask learning, where instances from more closely related tasks are selected in a progression of easier-to-harder tasks, to emulate an effective human education strategy, but applied to multitask …

  7. Generation from Abstract Meaning Representation using Tree Transducers

    2016

    Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime Carbonell. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016.

  8. Bootstrapping a Data-Set and Model for Question-Answering in Portuguese (Short Paper)

    2019 · arXiv (Cornell University)

    Question answering systems are mainly concerned with fulfilling an information query written in natural language, given a collection of documents with relevant information. They are key elements in many popular application systems as personal assistants, …

  9. XLNet: Generalized Autoregressive Pretraining for Language Understanding

    2019 · arXiv (Cornell University)

    With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better performance than pretraining approaches based on autoregressive language modeling. However, relying on corrupting the input with masks, BERT neglects dependency …

  10. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context

    2019

    Transformers have a potential of learning longer-term dependency, but are limited by a fixed-length context in the setting of language modeling. We propose a novel neural architecture Transformer-XL that enables learning dependency beyond a fixed …