Papers

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Viewing 101-106 of 106 papers
  • Understanding Convolutional Neural Networks for Text Classification

    Alon Jacovi, Oren Sar Shalom, Yoav GoldbergEMNLP • Workshop: Analyzing and interpreting neural networks for NLP2018 We 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…
  • Word Sense Induction with Neural biLM and Symmetric Patterns

    Asaf Amrami, Yoav GoldbergEMNLP2018 An 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…
  • The Web as a Knowledge-base for Answering Complex Questions

    Alon Talmor, Jonathan BerantNAACL2018 Answering complex questions is a time-consuming activity for humans that requires reasoning and integration of information. Recent work on reading comprehension made headway in answering simple questions, but tackling complex questions is still an ongoing…
  • Freebase QA: Information Extraction or Semantic Parsing?

    Xuchen Yao, Jonathan Berant, and Benjamin Van DurmeACL • Workshop on Semantic Parsing2014 We 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…
  • 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 ClarkEMNLP2014 Machine 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…
  • Learning Biological Processes with Global Constraints

    Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Christopher D. Manning, Justin Lewis, Brittany Harding, and Peter ClarkEMNLP2013 Biological 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…