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A Dependency Parser for Tweets

• Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith
• EMNLP
• 2014

We describe a new dependency parser for English tweets, TWEEBOPARSER. The parser builds on several contributions: new syntactic annotations for a corpus of tweets (TWEEBANK), with conventions… (More)

DyNet: The Dynamic Neural Network Toolkit

• Graham Neubig, Chris Dyer, +22 authors Pengcheng Yin
• ArXiv
• 2017

We describe DyNet, a toolkit for implementing neural network models based on dynamic declaration of network structure. In the static declaration strategy that is used in toolkits like Theano, CNTK,… (More)

Annotation Artifacts in Natural Language Inference Data

• Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith
• NAACL-HLT
• 2018

Large-scale datasets for natural language inference are created by presenting crowd workers with a sentence (premise), and asking them to generate three new sentences (hypotheses) that it entails,… (More)

Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold

• Swabha Swayamdipta, Sam Thomson, Chris Dyer, Noah A. Smith
• ArXiv
• 2017

We present a new, efficient frame-semantic parser that labels semantic arguments to FrameNet predicates. Built using an extension to the segmental RNN that emphasizes recall, our basic system… (More)

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs

• Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith
• CoNLL
• 2016

We present a transition-based parser that jointly produces syntactic and semantic dependencies. It learns a representation of the entire algorithm state, using stack long short-term memories. Our… (More)

Learning Joint Semantic Parsers from Disjoint Data

• Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith
• NAACL-HLT
• 2018

We present a new approach to learning semantic parsers from multiple datasets, even when the target semantic formalisms are drastically different, and the underlying corpora do not overlap. We handle… (More)

The CMU Machine Translation Systems at WMT 2014

• Austin Matthews, Waleed Ammar, +7 authors Chris Dyer
• WMT@ACL
• 2014

We describe the CMU systems submitted to the 2014 WMT shared translation task. We participated in two language pairs, German–English and Hindi–English. Our innovations include: a label coarsening… (More)

Multi-Mention Learning for Reading Comprehension with Neural Cascades

• Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski
• ICLR
• 2017

Reading comprehension is a challenging task, especially when executed across longer or across multiple evidence documents, where the answer is likely to reoccur. Existing neural architectures… (More)

Polyglot Semantic Role Labeling

• Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith
• ACL
• 2018

Previous approaches to multilingual semantic dependency parsing treat languages independently, without exploiting the similarities between semantic structures across languages. We experiment with a… (More)

Syntactic Scaffolds for Semantic Structures

• Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke S. Zettlemoyer, Chris Dyer, Noah A. Smith
• EMNLP
• 2018

We introduce the syntactic scaffold, an approach to incorporating syntactic information into semantic tasks. Syntactic scaffolds avoid expensive syntactic processing at runtime, only making use of a… (More)

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