Benjamin Van Durme

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Johns Hopkins University

Assistant Professor of Computer Science at Johns Hopkins University

CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models

Copy mechanisms are employed in sequence to sequence models (seq2seq) to...
10/28/2020 ∙ by Abhinav Singh, et al. ∙ 0 ∙ share

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COD3S: Diverse Generation with Discrete Semantic Signatures

We present COD3S, a novel method for generating semantically diverse sen...
10/06/2020 ∙ by Nathaniel Weir, et al. ∙ 0 ∙ share

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Which *BERT? A Survey Organizing Contextualized Encoders

Pretrained contextualized text encoders are now a staple of the NLP comm...
10/02/2020 ∙ by Patrick Xia, et al. ∙ 0 ∙ share

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Iterative Paraphrastic Augmentation with Discriminative Span Alignment

We introduce a novel paraphrastic augmentation strategy based on sentenc...
07/01/2020 ∙ by Ryan Culkin, et al. ∙ 0 ∙ share

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A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering

Legislation can be viewed as a body of prescriptive rules expressed in n...
05/11/2020 ∙ by Nils Holzenberger, et al. ∙ 0 ∙ share

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Revisiting Memory-Efficient Incremental Coreference Resolution

We explore the task of coreference resolution under fixed memory by exte...
04/30/2020 ∙ by Patrick Xia, et al. ∙ 0 ∙ share

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On the Existence of Tacit Assumptions in Contextualized Language Models

Humans carry stereotypic tacit assumptions (STAs) (Prince, 1978), or pro...
04/10/2020 ∙ by Nathaniel Weir, et al. ∙ 0 ∙ share

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Hierarchical Entity Typing via Multi-level Learning to Rank

We propose a novel method for hierarchical entity classification that em...
04/05/2020 ∙ by Tongfei Chen, et al. ∙ 0 ∙ share

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Causal Inference of Script Knowledge

When does a sequence of events define an everyday scenario and how can t...
04/02/2020 ∙ by Noah Weber, et al. ∙ 0 ∙ share

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Reading the Manual: Event Extraction as Definition Comprehension

We propose a novel approach to event extraction that supplies models wit...
12/03/2019 ∙ by Yunmo Chen, et al. ∙ 0 ∙ share

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Multi-Sentence Argument Linking

We introduce a dataset with annotated Roles Across Multiple Sentences (R...
11/09/2019 ∙ by Seth Ebner, et al. ∙ 0 ∙ share

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Interactive Refinement of Cross-Lingual Word Embeddings

Cross-lingual word embeddings transfer knowledge between languages: mode...
11/08/2019 ∙ by Michelle Yuan, et al. ∙ 0 ∙ share

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Transductive Parsing for Universal Decompositional Semantics

We introduce a transductive model for parsing into Universal Decompositi...
10/22/2019 ∙ by Elias Stengel-Eskin, et al. ∙ 0 ∙ share

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Exact and/or Fast Nearest Neighbors

Prior methods for retrieval of nearest neighbors in high dimensions are ...
10/06/2019 ∙ by Matthew Francis-Landau, et al. ∙ 0 ∙ share

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The Universal Decompositional Semantics Dataset and Decomp Toolkit

We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...
09/30/2019 ∙ by Aaron Steven White, et al. ∙ 0 ∙ share

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Uncertain Natural Language Inference

We propose a refinement of Natural Language Inference (NLI), called Unce...
09/06/2019 ∙ by Tongfei Chen, et al. ∙ 0 ∙ share

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Broad-Coverage Semantic Parsing as Transduction

We unify different broad-coverage semantic parsing tasks under a transdu...
09/05/2019 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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A Discriminative Neural Model for Cross-Lingual Word Alignment

We introduce a novel discriminative word alignment model, which we integ...
09/01/2019 ∙ by Elias Stengel-Eskin, et al. ∙ 0 ∙ share

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On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference

Popular Natural Language Inference (NLI) datasets have been shown to be ...
07/09/2019 ∙ by Yonatan Belinkov, et al. ∙ 0 ∙ share

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Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference

Natural Language Inference (NLI) datasets often contain hypothesis-only ...
07/09/2019 ∙ by Yonatan Belinkov, et al. ∙ 0 ∙ share

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Learning to Rank for Plausible Plausibility

Researchers illustrate improvements in contextual encoding strategies vi...
06/05/2019 ∙ by Zhongyang Li, et al. ∙ 0 ∙ share

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AMR Parsing as Sequence-to-Graph Transduction

We propose an attention-based model that treats AMR parsing as sequence-...
05/21/2019 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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What do you learn from context? Probing for sentence structure in contextualized word representations

Contextualized representation models such as ELMo (Peters et al., 2018a)...
05/15/2019 ∙ by Ian Tenney, et al. ∙ 0 ∙ share

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Probing What Different NLP Tasks Teach Machines about Function Word Comprehension

We introduce a set of nine challenge tasks that test for the understandi...
04/25/2019 ∙ by Najoung Kim, et al. ∙ 0 ∙ share

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Fine-Grained Temporal Relation Extraction

We present a novel semantic framework for modeling temporal relations an...
02/04/2019 ∙ by SIddharth Vashishtha, et al. ∙ 0 ∙ share

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Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements

We present a novel semantic framework for modeling linguistic expression...
01/31/2019 ∙ by Venkata Subrahmanyan Govindarajan, et al. ∙ 0 ∙ share

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ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation

We present ParaBank, a large-scale English paraphrase dataset that surpa...
01/11/2019 ∙ by J. Edward Hu, et al. ∙ 0 ∙ share

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Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling

Work on the problem of contextualized word representation -- the develop...
12/28/2018 ∙ by Samuel R. Bowman, et al. ∙ 0 ∙ share

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ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

We present a large-scale dataset, ReCoRD, for machine reading comprehens...
10/30/2018 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Predicting Argumenthood of English Preposition Phrases

Distinguishing between core and non-core dependents (i.e., arguments and...
09/20/2018 ∙ by Najoung Kim, et al. ∙ 0 ∙ share

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Lexicosyntactic Inference in Neural Models

We investigate neural models' ability to capture lexicosyntactic inferen...
08/19/2018 ∙ by Aaron Steven White, et al. ∙ 0 ∙ share

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Efficient Online Scalar Annotation with Bounded Support

We describe a novel method for efficiently eliciting scalar annotations ...
06/04/2018 ∙ by Keisuke Sakaguchi, et al. ∙ 0 ∙ share

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Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction

Cross-lingual information extraction (CLIE) is an important and challeng...
05/21/2018 ∙ by Hongyuan Mei, et al. ∙ 0 ∙ share

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Hypothesis Only Baselines in Natural Language Inference

We propose a hypothesis only baseline for diagnosing Natural Language In...
05/02/2018 ∙ by Adam Poliak, et al. ∙ 0 ∙ share

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On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference

We propose a process for investigating the extent to which sentence repr...
04/25/2018 ∙ by Adam Poliak, et al. ∙ 0 ∙ share

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Gender Bias in Coreference Resolution

We present an empirical study of gender bias in coreference resolution s...
04/25/2018 ∙ by Rachel Rudinger, et al. ∙ 0 ∙ share

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Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations

We present a large scale unified natural language inference (NLI) datase...
04/23/2018 ∙ by Adam Poliak, et al. ∙ 0 ∙ share

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Cross-lingual Semantic Parsing

We introduce the task of cross-lingual semantic parsing: mapping content...
04/21/2018 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds

Fine-grained entity typing is the task of assigning fine-grained semanti...
04/21/2018 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Neural Davidsonian Semantic Proto-role Labeling

We present state-of-the-art results for semantic proto-role labeling (SP...
04/21/2018 ∙ by Rachel Rudinger, et al. ∙ 0 ∙ share

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Neural models of factuality

We present two neural models for event factuality prediction, which yiel...
04/06/2018 ∙ by Rachel Rudinger, et al. ∙ 0 ∙ share

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Grammatical Error Correction with Neural Reinforcement Learning

We propose a neural encoder-decoder model with reinforcement learning (N...
07/02/2017 ∙ by Keisuke Sakaguchi, et al. ∙ 0 ∙ share

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Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles

We study how different frame annotations complement one another when lea...
06/29/2017 ∙ by Francis Ferraro, et al. ∙ 0 ∙ share

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Streaming Word Embeddings with the Space-Saving Algorithm

We develop a streaming (one-pass, bounded-memory) word embedding algorit...
04/24/2017 ∙ by Chandler May, et al. ∙ 0 ∙ share

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Feature Generation for Robust Semantic Role Labeling

Hand-engineered feature sets are a well understood method for creating r...
02/22/2017 ∙ by Travis Wolfe, et al. ∙ 0 ∙ share

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Ordinal Common-sense Inference

Humans have the capacity to draw common-sense inferences from natural la...
11/02/2016 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Computational linking theory

A linking theory explains how verbs' semantic arguments are mapped to th...
10/08/2016 ∙ by Aaron Steven White, et al. ∙ 0 ∙ share

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Analysis of Morphology in Topic Modeling

Topic models make strong assumptions about their data. In particular, di...
08/13/2016 ∙ by Chandler May, et al. ∙ 0 ∙ share

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Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network

Language processing mechanism by humans is generally more robust than co...
08/07/2016 ∙ by Keisuke Sakaguchi, et al. ∙ 0 ∙ share

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A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations

Link prediction in large knowledge graphs has received a lot of attentio...
05/16/2016 ∙ by Pushpendre Rastogi, et al. ∙ 0 ∙ share

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Benjamin Van Durme

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