Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation F i n d i n g s - E A C L

Sayontan Ghosh | Tanvi Aggarwal | Minh Hoai | Niranjan Balasubramanian |

Modeling Complex Event Scenarios via Simple Entity-focused Questions EACL

Mahnaz Koupaee | Greg Durrett | Nathanael Chambers | Niranjan Balasubramanian |

PASTA: A Dataset for Modeling PArticipant STAtes in Narratives TACL

Sayontan Ghosh | Mahnaz Koupaee | Isabella Chen | Francis Ferraro | Nathanael Chambers | Niranjan Balasubramanian |

SAGEViz: SchemA GEneration and Visualization EMNLP

Sugam Devare | Mahnaz Koupaee | Gautham Gunapati | Sayontan Ghosh | Sai Vallurupalli | Yash Kumar Lal | Francis Ferraro | Nathanael Chambers | Greg Durrett | Raymond Mooney | Katrin Erk | Niranjan Balasubramanian |

Efficient Methods for Natural Language Processing: A Survey TACL

Marcos Treviso | Ji-Ung Lee | Tianchu Ji | Betty van Aken | Qingqing Cao | Manuel R. Ciosici | Michael Hassid | Kenneth Heafield | Sara Hooker | Colin Raffel | Pedro H. Martins | André F. T. Martins | Jessica Zosa Forde | Peter Milder | Edwin Simpson | Noam Slonim | Jesse Dodge | Emma Strubell | Niranjan Balasubramanian | Leon Derczynski | Iryna Gurevych | Roy Schwartz |

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions ACL

Harsh Trivedi | Niranjan Balasubramanian | Tushar Khot | Ashish Sabharwal |

NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints ACL

Mohaddeseh Bastan | Mihai Surdeanu | Niranjan Balasubramanian |

Human Language Modeling ACL Findings

Nikita Soni | Matthew Matero | Niranjan Balasubramanian | H. Andrew Schwartz |

♫ MuSiQue: Multihop Questions via Single-hop Question Composition TACL

Harsh Trivedi | Niranjan Balasubramanian | Tushar Khot | Ashish Sabharwal |

SuMe: A Dataset Towards Summarizing Biomedical Mechanisms LREC

Mohaddeseh Bastan | Nishant Shankar | Mihai Surdeanu | Niranjan Balasubramanian |

SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications LREC

Sayontan Ghosh | Amanpreet Singh | Alex Merenstein | Wei Su | Scott A. Smolka | Erez Zadok | Niranjan Balasubramanian |

BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples F i n d i n g s - E M N L P

Mohaddeseh Bastan | Mihai Surdeanu | Niranjan Balasubramanian |

POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events EMNLP

Sai Vallurupalli | Sayontan Ghosh | Katrin Erk | Niranjan Balasubramanian | Francis Ferraro |

Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts EMNLP

Harsh Trivedi | Niranjan Balasubramanian | Tushar Khot | Ashish Sabharwal |

Using Commonsense Knowledge to Answer Why-Questions EMNLP

Yash Kumar Lal | Niket Tandon | Tanvi Aggarwal | Horace Liu | Nathanael Chambers | Raymond Mooney | Niranjan Balasubramanian |

Toward Diverse Precondition Generation *SEM ACL IJCNLP

Heeyoung Kwon | Nathanael Chambers | Niranjan Balasubramanian |

evision PDF of 'TellMeWhy: A Dataset for Answering Why-Questions in Narratives Findings

Yash Kumar Lal | Nathanael Chambers | Raymond Mooney | Niranjan Balasubramanian |

IrEne-viz: Visualizing Energy Consumption of Transformer Models EMNLP

Yash Kumar Lal | Reetu Singh | Harsh Trivedi | Qingqing Cao | Aruna Balasubramanian | Niranjan Balasubramanian |

evision PDF of 'MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection EMNLP Findings

Matthew Matero | Nikita Soni | Niranjan Balasubramanian | H. Andrew Schwartz |

IrEne: Interpretable Energy Prediction for Transformers ACL IJCNLP

Qingqing Cao | Yash Kumar Lal | Harsh Trivedi | Aruna Balasubramanian | Niranjan Balasubramanian |

On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers Findings

Tianchu Ji | Shraddhan Jain | Michael Ferdman | Peter Milder | H. Andrew Schwartz | Niranjan Balasubramanian |

Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension EMNLP

Naoya Inoue | Harsh Trivedi | Steven Sinha | Niranjan Balasubramanian | Kentaro Inui |

Don’t Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models ACL IJCNLP

Mahnaz Koupaee | Greg Durrett | Nathanael Chambers | Niranjan Balasubramanian |

DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering ACL

Qingqing Cao | Harsh Trivedi | Aruna Balasubramanian | Niranjan Balasubramanian |

Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention ACL

Veronica Lynn | Niranjan Balasubramanian | H. Andrew Schwartz |

Modeling Label Semantics for Predicting Emotional Reactions ACL

Radhika Gaonkar | Heeyoung Kwon | Mohaddeseh Bastan | Niranjan Balasubramanian | Nathanael Chambers |

Author’s Sentiment Prediction COLING

Mohaddeseh Bastan | Mahnaz Koupaee | Youngseo Son | Richard Sicoli | Niranjan Balasubramanian |

Generating Narrative Text in a Switching Dynamical System CoNLL

Noah Weber | Leena Shekhar | Heeyoung Kwon | Niranjan Balasubramanian | Nathanael Chambers |

Modeling Preconditions in Text with a Crowd-sourced Dataset EMNLP Findings

Heeyoung Kwon | Mahnaz Koupaee | Pratyush Singh | Gargi Sawhney | Anmol Shukla | Keerthi Kumar Kallur | Nathanael Chambers | Niranjan Balasubramanian |

Towards Accurate and Reliable Energy Measurement of NLP Models EMNLP sustainlp

Qingqing Cao | Aruna Balasubramanian | Niranjan Balasubramanian |

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning EMNLP

Harsh Trivedi | Niranjan Balasubramanian | Tushar Khot | Ashish Sabharwal |

Latent Part-of-Speech Sequences for Neural Machine Translation EMNLP

Xuewen Yang | Yingru Liu | Dongliang Xie | Xin Wang | Niranjan Balasubramanian |

PoMo: Generating Entity-Specific Post-Modifiers in Context NAACL

Jun Seok Kang | Robert Logan | Zewei Chu | Yang Chen | Dheeru Dua | Kevin Gimpel | Sameer Singh | Niranjan Balasubramanian |

Repurposing Entailment for Multi-Hop Question Answering Tasks NAACL

Harsh Trivedi | Heeyoung Kwon | Tushar Khot | Ashish Sabharwal | Niranjan Balasubramanian |

Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes NAACL WS

Veronica Lynn | Salvatore Giorgi | Niranjan Balasubramanian | H. Andrew Schwartz |

Residualized Factor Adaptation for Community Social Media Prediction Tasks EMNLP

Mohammadzaman Zamani | H. Andrew Schwartz | Veronica Lynn | Salvatore Giorgi | Niranjan Balasubramanian |

Hierarchical Quantized Representations for Script Generation EMNLP

Noah Weber | Leena Shekhar | Niranjan Balasubramanian | Nathanael Chambers |

The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models Gen-Deep NAACL WS

Noah Weber | Leena Shekhar | Niranjan Balasubramanian |

Human Centered NLP with User-Factor Adaptation EMNLP

Veronica Lynn | Youngseo Son | Vivek Kulkarni | Niranjan Balasubramanian | H. Andrew Schwartz |

What’s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams COLING

Peter Jansen | Niranjan Balasubramanian | Mihai Surdeanu | Peter Clark |

Cross Sentence Inference for Process Knowledge EMNLP

Samuel Louvan | Chetan Naik | Sadhana Kumaravel | Heeyoung Kwon | Niranjan Balasubramanian | Peter Clark |

Exploring Markov Logic Networks for Question Answering EMNLP

Tushar Khot | Niranjan Balasubramanian | Eric Gribkoff | Ashish Sabharwal | Peter Clark | Oren Etzioni |

Generating Coherent Event Schemas at Scale EMNLP

Niranjan Balasubramanian | Stephen Soderland | Mausam | Oren Etzioni |

Constructing a Textual KB from a Biology TextBook WS

Peter Clark | Phil Harrison | Niranjan Balasubramanian | Oren Etzioni |

Rel-grams: A Probabilistic Model of Relations in Text WS

Niranjan Balasubramanian | Stephen Soderland | Mausam | Oren Etzioni |