Getting the Most out of AMR Parsing (Wang and Xue, EMNLP 2017).Frames: a corpus for adding memory to goal-oriented dialogue systems (El Asri et al., 2017).Filling the Blanks (hint: plural noun) for Mad Libs Humor (Hossain et al., EMNLP 2017).
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples (Vidur Joshi et al., 2018).Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time (Huang et al., 2018).Evaluating the Utility of Hand-crafted Features in Sequence Labelling (Minghao Wu et al., 2018).Error-repair Dependency Parsing for Ungrammatical Texts (Sakaguchi et al., 2017).Dynamic Programming Algorithms for Transition-Based Dependency Parsers (Kuhlmann et al., ACL 2011).Dynamic Evaluation of Neural Sequence Models (Krause et al., 2017).Detecting annotation noise in automatically labelled data (Rehbein and Ruppenhofer, ACL 2017).DeftNN: Addressing Bottlenecks for DNN Execution on GPUs via Synapse Vector Elimination and Near-compute Data Fission (Hill et al., MICRO 2017).Controlled Crowdsourcing for High-Quality QA-SRL Annotation (Roit, et al., ACL 2020).Compositional Demographic Word Embeddings (Welch et al., EMNLP 2020).ChartDialogs: Plotting from Natural Language Instructions (Shao and Nakashole, ACL 2020).Beyond Accuracy: Behavioral Testing of NLP Models with CheckList (Ribeiro, et al., ACL 2020 Best Paper).Attention Strategies for Multi-Source Sequence-to-Sequence Learning (Libovicky et al., 2017).Attention Is All You Need (Vaswani et al., ArXiv 2017).Arc-Standard Spinal Parsing with Stack-LSTMs (Ballesteros et al., 2017).An Analysis of Neural Language Modeling at Multiple Scales (Merity et al., 2018).Addressing the Data Sparsity Issue in Neural AMR Parsing (Peng et al., EACL 2017).Abstractive Document Summarization with a Graph-Based Attentional Neural Model (Tan et al., 2017).A Two-Stage Parsing Method for Text-Level Discourse Analysis (Wang et al., 2017).A Transition-Based Directed Acyclic Graph Parser for UCCA (Hershcovich et al., 2017).A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings (Yang et al., 2017).A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument Labels (Jiang, et al., Findings of EMNLP 2020).A Local Detection Approach for Named Entity Recognition and Mention Detection (Xu et al., 2017).A Large-Scale Corpus for Conversation Disentanglement (Kummerfeld et al., 2019).A Factored Neural Network Model for Characterizing Online Discussions in Vector Space (Cheng et al., EMNLP 2017).A causal framework for explaining the predictions of black-box sequence-to-sequence models (Alvarez-Melis et al., 2017).Semantic Parsing with Semi-Supervised Sequential Autoencoders (Kocisky et al., EMNLP 2016).