| Nutri-bullets Hybrid: Consensual Multi-document Summarization | 0 | 0.34 | 2021 |
| Nutri-Bullets: Summarizing Health Studies By Composing Segments | 0 | 0.34 | 2021 |
| Structured Pruning of Large Language Models. | 0 | 0.34 | 2020 |
| Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport | 0 | 0.34 | 2020 |
| Autoregressive Knowledge Distillation through Imitation Learning. | 0 | 0.34 | 2020 |
| ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition | 0 | 0.34 | 2020 |
| Building a Production Model for Retrieval-Based Chatbots. | 0 | 0.34 | 2019 |
| Metric Learning for Dynamic Text Classification. | 0 | 0.34 | 2019 |
| Simple Recurrent Units for Highly Parallelizable Recurrence. | 16 | 0.88 | 2018 |
| Adversarial Domain Adaptation for Duplicate Question Detection. | 1 | 0.35 | 2018 |
| Style Transfer from Non-Parallel Text by Cross-Alignment. | 38 | 1.02 | 2017 |
| Deriving Neural Architectures from Sequence and Graph Kernels. | 18 | 0.74 | 2017 |
| Training RNNs as Fast as CNNs. | 6 | 0.41 | 2017 |
| Rationalizing Neural Predictions. | 64 | 1.82 | 2016 |
| Learning to refine text based recommendations. | 1 | 0.36 | 2016 |
| Semi-supervised Question Retrieval with Gated Convolutions. | 19 | 0.83 | 2016 |
| Making Dependency Labeling Simple, Fast and Accurate. | 0 | 0.34 | 2016 |
| SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering. | 8 | 0.56 | 2016 |
| Denoising Bodies to Titles: Retrieving Similar Questions with Recurrent Convolutional Models | 2 | 0.37 | 2015 |
| Molding CNNs for text: non-linear, non-consecutive convolutions | 31 | 1.41 | 2015 |
| High-Order Low-Rank Tensors for Semantic Role Labeling. | 4 | 0.39 | 2015 |
| Greed is Good if Randomized: New Inference for Dependency Parsing. | 17 | 0.83 | 2014 |
| Low-Rank Tensors For Scoring Dependency Structures | 49 | 1.47 | 2014 |
| Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment. | 8 | 0.47 | 2014 |
| Steps To Excellence: Simple Inference With Refined Scoring Of Dependency Trees | 0 | 0.34 | 2014 |
| From Natural Language Specifications to Program Input Parsers. | 13 | 0.88 | 2013 |
| Learning high-level planning from text | 19 | 1.18 | 2012 |
| On optimization of expertise matching with various constraints | 20 | 0.87 | 2012 |
| A pattern tree-based approach to learning URL normalization rules | 11 | 0.60 | 2010 |
