Viewing 31-35 of 35 papers
  • Understanding Convolutional Neural Networks for Text Classification

    Alon Jacovi, Oren Sar Shalom, Yoav GoldbergEMNLP • Workshop: Analyzing and interpreting neural networks for NLP2018We present an analysis into the inner workings of Convolutional Neural Networks (CNNs) for processing text. CNNs used for computer vision can be interpreted by projecting filters into image space, but for discrete sequence inputs CNNs remain a mystery. We aim to understand the method by which the… more
  • Word Sense Induction with Neural biLM and Symmetric Patterns

    Asaf Amrami, Yoav GoldbergEMNLP2018An established method for Word Sense Induction (WSI) uses a language model to predict probable substitutes for target words, and induces senses by clustering these resulting substitute vectors. We replace the ngram-based language model (LM) with a recurrent one. Beyond being more accurate, the use… more
  • Freebase QA: Information Extraction or Semantic Parsing?

    Xuchen Yao, Jonathan Berant, and Benjamin Van DurmeACL • Workshop on Semantic Parsing2014We contrast two seemingly distinct approaches to the task of question answering (QA) using Freebase: one based on information extraction techniques, the other on semantic parsing. Results over the same test-set were collected from two state-ofthe-art, open-source systems, then analyzed in… more
  • Modeling Biological Processes for Reading Comprehension

    Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Brad Huang, Christopher D. Manning, Abby Vander Linden, Brittany Harding, and Peter ClarkEMNLP2014Machine reading calls for programs that read and understand text, but most current work only attempts to extract facts from redundant web-scale corpora. In this paper, we focus on a new reading comprehension task that requires complex reasoning over a single document. The input is a paragraph… more
  • Learning Biological Processes with Global Constraints

    Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Christopher D. Manning, Justin Lewis, Brittany Harding, and Peter ClarkEMNLP2013Biological processes are complex phenomena involving a series of events that are related to one another through various relationships. Systems that can understand and reason over biological processes would dramatically improve the performance of semantic applications involving inference such as… more