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02/14/2023
Modeling Complex Event Scenarios via Simple Entity-focused Questions
Event scenarios are often complex and involve multiple event sequences c...
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12/20/2022
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
Recent work has shown that large language models are capable of generati...
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12/05/2022
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events
Knowledge about outcomes is critical for complex event understanding but...
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10/26/2022
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples
Natural language inference (NLI) is critical for complex decision-making...
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10/12/2022
Distilling Knowledge from Language Models for Video-based Action Anticipation
Anticipating future actions in a video is useful for many autonomous and...
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08/31/2022
Efficient Methods for Natural Language Processing: A Survey
Getting the most out of limited resources allows advances in natural lan...
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07/31/2022
PASTA: A Dataset for Modeling Participant States in Narratives
The events in a narrative can be understood as a coherent whole via the ...
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05/25/2022
Teaching Broad Reasoning Skills via Decomposition-Guided Contexts
Question-answering datasets require a broad set of reasoning skills. We ...
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05/24/2022
Learning for Expressive Task-Related Sentence Representations
NLP models learn sentence representations for downstream tasks by tuning...
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05/10/2022
Human Language Modeling
Natural language is generated by people, yet traditional language modeli...
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05/10/2022
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms
Can language models read biomedical texts and explain the biomedical mec...
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09/16/2021
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
Much of natural language processing is focused on leveraging large capac...
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09/14/2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
How can we generate concise explanations for multi-hop Reading Comprehen...
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08/02/2021
MuSiQue: Multi-hop Questions via Single-hop Question Composition
To build challenging multi-hop question answering datasets, we propose a...
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06/14/2021
Toward Diverse Precondition Generation
Language understanding must identify the logical connections between eve...
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06/11/2021
TellMeWhy: A Dataset for Answering Why-Questions in Narratives
Answering questions about why characters perform certain actions is cent...
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06/02/2021
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers
How much information do NLP tasks really need from a transformer's atten...
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06/02/2021
IrEne: Interpretable Energy Prediction for Transformers
Existing software-based energy measurements of NLP models are not accura...
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12/10/2020
Bew: Towards Answering Business-Entity-Related Web Questions
We present BewQA, a system specifically designed to answer a class of qu...
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11/15/2020
Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents
A major challenge in fine-tuning deep learning models for automatic summ...
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11/12/2020
Author's Sentiment Prediction
We introduce PerSenT, a dataset of crowd-sourced annotations of the sent...
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10/19/2020
LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System
Nearest neighbor search (NNS) has a wide range of applications in inform...
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10/11/2020
Towards Accurate and Reliable Energy Measurement of NLP Models
Accurate and reliable measurement of energy consumption is critical for ...
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10/06/2020
Modeling Preconditions in Text with a Crowd-sourced Dataset
Preconditions provide a form of logical connection between events that e...
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06/09/2020
Modeling Label Semantics for Predicting Emotional Reactions
Predicting how events induce emotions in the characters of a story is ty...
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05/02/2020
Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering
The measurement of true progress in multihop question-answering has been...
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05/02/2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
Transformer-based QA models use input-wide self-attention – i.e. across ...
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04/08/2020
Generating Narrative Text in a Switching Dynamical System
Early work on narrative modeling used explicit plans and goals to genera...
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11/19/2019
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
Multi-task learning (MTL) is a common paradigm that seeks to improve the...
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08/30/2019
Latent Part-of-Speech Sequences for Neural Machine Translation
Learning target side syntactic structure has been shown to improve Neura...
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04/20/2019
Repurposing Entailment for Multi-Hop Question Answering Tasks
Question Answering (QA) naturally reduces to an entailment problem, name...
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04/05/2019
PoMo: Generating Entity-Specific Post-Modifiers in Context
We introduce entity post-modifier generation as an instance of a collabo...
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08/28/2018
Hierarchical Quantized Representations for Script Generation
Scripts define knowledge about how everyday scenarios (such as going to ...
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08/28/2018
Residualized Factor Adaptation for Community Social Media Prediction Tasks
Predictive models over social media language have shown promise in captu...
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08/11/2018
Fake Sentence Detection as a Training Task for Sentence Encoding
Sentence encoders are typically trained on language modeling tasks which...
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05/03/2018
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Seq2Seq based neural architectures have become the go-to architecture to...
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03/19/2018
Controlling Decoding for More Abstractive Summaries with Copy-Based Networks
Attention-based neural abstractive summarization systems equipped with c...
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11/21/2017
Event Representations with Tensor-based Compositions
Robust and flexible event representations are important to many core are...
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06/03/2017
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU
In this paper, we explore optimizations to run Recurrent Neural Network ...
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07/10/2015