Papers

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Viewing 761-770 of 974 papers
  • Structural Scaffolds for Citation Intent Classification in Scientific Publications

    Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field CadyNAACL2019 Identifying the intent of a citation in scientific papers (e.g., background information, use of methods, comparing results) is critical for machine reading of individual publications and automated analysis of the scientific literature. We propose a multitask…
  • Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages

    Shauli Ravfogel, Yoav Goldberg, Tal LinzenNAACL2019 How do typological properties such as word order and morphological case marking affect the ability of neural sequence models to acquire the syntax of a language? Cross-linguistic comparisons of RNNs' syntactic performance (e.g., on subject-verb agreement…
  • Text Generation from Knowledge Graphs with Graph Transformers

    Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh HajishirziNAACL2019 Generating texts which express complex ideas spanning multiple sentences requires a structured representation of their content (document plan), but these representations are prohibitively expensive to manually produce. In this work, we address the problem of…
  • Value-based Search in Execution Space for Mapping Instructions to Programs

    Dor Muhlgay, Jonathan Herzig, Jonathan BerantNAACL2019 Training models to map natural language instructions to programs given target world supervision only requires searching for good programs at training time. Search is commonly done using beam search in the space of partial programs or program trees, but as the…
  • White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks

    Or Gorodissky, Yoav Chai, Yotam Gil, Jonathan BerantNAACL2019 We show that a neural network can learn to imitate the optimization process performed by white-box attack in a much more efficient manner. We train a black-box attack through this imitation process and show our attack is 19x-39x faster than the white-box…
  • FlowQA: Grasping Flow in History for Conversational Machine Comprehension

    Hsin-Yuan Huang, Eunsol Choi, Wen-tau YihICLR2019 Conversational machine comprehension requires a deep understanding of the conversation history. To enable traditional, single-turn models to encode the history comprehensively, we introduce Flow, a mechanism that can incorporate intermediate representations…
  • Neural network gradient-based learning of black-box function interfaces

    Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan BerantICLR2019 Deep neural networks work well at approximating complicated functions when provided with data and trained by gradient descent methods. At the same time, there is a vast amount of existing functions that programmatically solve different tasks in a precise…
  • Visual Semantic Navigation using Scene Priors

    Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh MottaghiICLR2019 How do humans navigate to target objects in novel scenes? Do we use the semantic/functional priors we have built over years to efficiently search and navigate? For example, to search for mugs, we search cabinets near the coffee machine and for fruits we try…
  • The Curious Case of Neural Text Degeneration

    Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin ChoiICLR2019 Despite considerable advances in neural language modeling, it remains an open question what the best decoding strategy is for text generation from a language model (e.g. to generate a story). The counter-intuitive empirical observation is that even though the…
  • Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation

    Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, S. SrinivasaCVPR2019 We present the Frontier Aware Search with backTracking (FAST) Navigator, a general framework for action decoding, that achieves state-of-the-art results on the 2018 Room-to-Room (R2R) Vision-and-Language navigation challenge. Given a natural language…