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Semantic Role Labeling for Process Recognition Questions
Samuel Louvan, Chetan Naik, Veronica Lynn, Ankit Arun, Niranjan Balasubramanian, and Peter ClarkK-CAP • First International Workshop on Capturing Scientific Knowledge (SciKnow) • 2015 We consider a 4th grade level question answering task. We focus on a subset involving recognizing instances of physical, biological, and other natural processes. Many processes involve similar entities and are hard to distinguish using simple bag-of-words…Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering
Rebecca Sharp, Peter Jansen, Mihai Surdeanu, and Peter ClarkNAACL • 2015 Monolingual alignment models have been shown to boost the performance of question answering systems by "bridging the lexical chasm" between questions and answers. The main limitation of these approaches is that they require semistructured training data in the…VISALOGY: Answering Visual Analogy Questions
Fereshteh Sadeghi, C. Lawrence Zitnick, and Ali FarhadiNIPS • 2015 In this paper, we study the problem of answering visual analogy questions. These questions take the form of image A is to image B as image C is to what. Answering these questions entails discovering the mapping from image A to image B and then extending the…VisKE: Visual Knowledge Extraction and Question Answering by Visual Verification of Relation Phrases
Fereshteh Sadeghi, Santosh Divvala, and Ali FarhadiCVPR • 2015 How can we know whether a statement about our world is valid. For example, given a relationship between a pair of entities e.g., 'eat(horse, hay)', how can we know whether this relationship is true or false in general. Gathering such knowledge about entities…Connotation Frames: A Data-Driven Investigation
Hannah Rashkin, Sameer Singh, Yejin ChoiACL • 2015 Through a particular choice of a predicate (e.g., "x violated y"), a writer can subtly connote a range of implied sentiments and presupposed facts about the entities x and y: (1) writer's perspective: projecting x as an "antagonist"and y as a "victim", (2…A Data Scientist's Guide to Start-Ups
Foster Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama Fayyad, and Claudia PerlichBig Data • 2014 In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science research and practice. The panel discussed the pros and cons for top…Automatic Construction of Inference-Supporting Knowledge Bases
Peter Clark, Niranjan Balasubramanian, Sumithra Bhakthavatsalam, Kevin Humphreys, Jesse Kinkead, Ashish Sabharwal, and Oyvind TafjordAKBC • 2014 While there has been tremendous progress in automatic database population in recent years, most of human knowledge does not naturally fit into a database form. For example, knowledge that "metal objects can conduct electricity" or "animals grow fur to help…Chinese Open Relation Extraction for Knowledge Acquisition
Yuen-Hsien Tseng, Lung-Hao Lee, Shu-Yen Lin, Bo-Shun Liao, Mei-Jun Liu, Hsin-Hsi Chen, Oren Etzioni, and Anthony FaderEACL • 2014 This study presents the Chinese Open Relation Extraction (CORE) system that is able to extract entity-relation triples from Chinese free texts based on a series of NLP techniques, i.e., word segmentation, POS tagging, syntactic parsing, and extraction rules…Freebase QA: Information Extraction or Semantic Parsing?
Xuchen Yao, Jonathan Berant, and Benjamin Van DurmeACL • Workshop on Semantic Parsing • 2014 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…Insights Into Parallelism with Intensive Knowledge Sharing
Ashish Sabharwal and Horst SamulowitzInternational Conference on Principles and Practice of Constraint Programming • 2014 Novel search space splitting techniques have recently been successfully exploited to paralleliz Constraint Programming and Mixed Integer Programming solvers. We first show how universal hashing can be used to extend one such interesting approach to a…