Papers

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Viewing 451-460 of 571 papers
  • Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

    Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordóñez, Kai-Wei ChangEMNLP2017 Language is increasingly being used to define rich visual recognition problems with supporting image collections sourced from the web. Structured prediction models are used in these tasks to take advantage of correlations between co-occurring labels and…
  • Answering Complex Questions Using Open Information Extraction

    Tushar Khot, Ashish Sabharwal, and Peter ClarkACL2017 While there has been substantial progress in factoid question-answering (QA), answering complex questions remains challenging, typically requiring both a large body of knowledge and inference techniques. Open Information Extraction (Open IE) provides a way to…
  • Learning a Neural Semantic Parser from User Feedback

    Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke ZettlemoyerACL2017 We present an approach to rapidly and easily build natural language interfaces to databases for new domains, whose performance improves over time based on user feedback, and requires minimal intervention. To achieve this, we adapt neural sequence models to…
  • Semi-supervised sequence tagging with bidirectional language models

    Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, and Russell PowerACL2017 Pre-trained word embeddings learned from unlabeled text have become a standard component of neural network architectures for NLP tasks. However, in most cases, the recurrent network that operates on word-level representations to produce context sensitive…
  • WebChild 2.0: Fine-Grained Commonsense Knowledge Distillation

    Niket Tandon, Gerard de Melo, and Gerhard WeikumACL2017 Despite important progress in the area of intelligent systems, most such systems still lack commonsense knowledge that appears crucial for enabling smarter, more human-like decisions. In this paper, we present a system based on a series of algorithms to…
  • AI zooms in on highly influential citations

    Oren EtzioniNature2017 The number of times a paper is cited is a poor proxy for its impact (see P. Stephan et al. Nature 544, 411–412; 2017). I suggest relying instead on a new metric that uses artificial intelligence (AI) to capture the subset of an author's or a paper's essential…
  • Are You Smarter Than A Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension

    Aniruddha Kembhavi, Minjoon Seo, Dustin Schwenk, Jonghyun Choi, Hannaneh Hajishirzi, and Ali FarhadiCVPR2017 We introduce the task of Multi-Modal Machine Comprehension (M3C), which aims at answering multimodal questions given a context of text, diagrams and images. We present the Textbook Question Answering (TQA) dataset that includes 1,076 lessons and 26,260 multi…
  • Asynchronous Temporal Fields for Action Recognition

    Gunnar A Sigurdsson, Santosh Divvala, Ali Farhadi, and Abhinav GuptaCVPR2017 Actions are more than just movements and trajectories: we cook to eat and we hold a cup to drink from it. A thorough understanding of videos requires going beyond appearance modeling and necessitates reasoning about the sequence of activities, as well as the…
  • Automatic Selection of Context Configurations for Improved Class-Specific Word Representations

    Ivan Vulic, Roy Schwartz, Ari Rappoport, Roi Reichart, and Anna KorhonenCoNLL2017 This paper is concerned with identifying contexts useful for training word representation models for different word classes such as adjectives (A), verbs (V), and nouns (N). We introduce a simple yet effective framework for an automatic selection of class…
  • Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers

    Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, and Vidur JoshiEMNLP2017 We present an approach for answering questions that span multiple sentences and exhibit sophisticated cross-sentence anaphoric phenomena, evaluating on a rich source of such questions--the math portion of the Scholastic Aptitude Test (SAT). By using a tree…