Papers
16,749 papers found
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function
Oren Melamud, Jacob Goldberger
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets
Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov et al.
Interactive Learning of Grounded Verb Semantics towards Human-Robot Communication
Lanbo She, Joyce Chai
Japanese Sentence Compression with a Large Training Dataset
Shun Hasegawa, Yuta Kikuchi, Hiroya Takamura et al.
Joint CTC/attention decoding for end-to-end speech recognition
Takaaki Hori, Shinji Watanabe, John Hershey
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Suncong Zheng, Feng Wang, Hongyun Bao et al.
Joint Learning for Event Coreference Resolution
Jing Lu, Vincent Ng
Jointly Extracting Relations with Class Ties via Effective Deep Ranking
Hai Ye, Wenhan Chao, Zhunchen Luo et al.
Joint Modeling of Content and Discourse Relations in Dialogues
Kechen Qin, Lu Wang, Joseph Kim
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback
Avinesh P.V.S, Christian M. Meyer
Learning a Neural Semantic Parser from User Feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung et al.
Learning attention for historical text normalization by learning to pronounce
Marcel Bollmann, Joachim Bingel, Anders Søgaard
Learning bilingual word embeddings with (almost) no bilingual data
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Learning Character-level Compositionality with Visual Features
Frederick Liu, Han Lu, Chieh Lo et al.
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Tiancheng Zhao, Ran Zhao, Maxine Eskenazi
Learning Lexico-Functional Patterns for First-Person Affect
Lena Reed, Jiaqi Wu, Shereen Oraby et al.
Learning Semantic Correspondences in Technical Documentation
Kyle Richardson, Jonas Kuhn
Learning Structured Natural Language Representations for Semantic Parsing
Jianpeng Cheng, Siva Reddy, Vijay Saraswat et al.
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
He He, Anusha Balakrishnan, Mihail Eric et al.
Learning to Ask: Neural Question Generation for Reading Comprehension
Xinya Du, Junru Shao, Claire Cardie
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling
Kazuya Kawakami, Chris Dyer, Phil Blunsom
Learning to Generate Market Comments from Stock Prices
Soichiro Murakami, Akihiko Watanabe, Akira Miyazawa et al.
Learning to Parse and Translate Improves Neural Machine Translation
Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho
Learning Topic-Sensitive Word Representations
Marzieh Fadaee, Arianna Bisazza, Christof Monz