Benjamin Van Durme

research

∙ 09/16/2022

Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System

We present an approach for systematic reasoning that produces human inte...

Nathaniel Weir, et al. ∙

research

∙ 08/02/2022

Multilingual Coreference Resolution in Multiparty Dialogue

Existing multiparty dialogue datasets for coreference resolution are nas...

Boyuan Zheng, et al. ∙

research

∙ 07/12/2022

Zero-shot Cross-lingual Transfer is Under-specified Optimization

Pretrained multilingual encoders enable zero-shot cross-lingual transfer...

Shijie Wu, et al. ∙

research

∙ 06/21/2022

BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing

We introduce BenchCLAMP, a Benchmark to evaluate Constrained LAnguage Mo...

Subhro Roy, et al. ∙

research

∙ 06/06/2022

Pretrained Models for Multilingual Federated Learning

Since the advent of Federated Learning (FL), research has applied these ...

Orion Weller, et al. ∙

research

∙ 05/25/2022

Asking the Right Questions in Low Resource Template Extraction

Information Extraction (IE) researchers are mapping tasks to Question An...

Nils Holzenberger, et al. ∙

research

∙ 05/24/2022

When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems

In natural language understanding (NLU) production systems, users' evolv...

Elias Stengel-Eskin, et al. ∙

research

∙ 05/24/2022

The Curious Case of Control

Children acquiring English make systematic errors on subject control sen...

Elias Stengel-Eskin, et al. ∙

research

∙ 05/18/2022

Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation

We introduce a novel setup for low-resource task-oriented semantic parsi...

Kevin Yang, et al. ∙

research

∙ 05/04/2022

Visual Commonsense in Pretrained Unimodal and Multimodal Models

Our commonsense knowledge about objects includes their typical visual at...

Chenyu Zhang, et al. ∙

research

∙ 03/09/2022

One-Shot Learning from a Demonstration with Hierarchical Latent Language

Humans have the capability, aided by the expressive compositionality of ...

Nathaniel Weir, et al. ∙

research

∙ 02/16/2022

The NLP Task Effectiveness of Long-Range Transformers

Transformer models cannot easily scale to long sequences due to their O(...

Guanghui Qin, et al. ∙

research

∙ 12/16/2021

Few-Shot Semantic Parsing with Language Models Trained On Code

Large language models, prompted with in-context examples, can perform se...

Richard Shin, et al. ∙

research

∙ 10/01/2021

Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images

While neural symbolic methods demonstrate impressive performance in visu...

Zhuowan Li, et al. ∙

research

∙ 09/14/2021

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

Zero-shot cross-lingual information extraction (IE) describes the constr...

Mahsa Yarmohammadi, et al. ∙

research

∙ 09/09/2021

BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation

The success of bidirectional encoders using masked language models, such...

Haoran Xu, et al. ∙

research

∙ 07/21/2021

Guided Generation of Cause and Effect

We present a conditional text generation framework that posits sententia...

Zhongyang Li, et al. ∙

research

∙ 05/17/2021

Factoring Statutory Reasoning as Language Understanding Challenges

Statutory reasoning is the task of determining whether a legal statute, ...

Nils Holzenberger, et al. ∙

research

∙ 04/18/2021

Schema Curation via Causal Association Rule Mining

Event schemas are structured knowledge sources defining typical real-wor...

Noah Weber, et al. ∙

research

∙ 04/18/2021

Constrained Language Models Yield Few-Shot Semantic Parsers

We explore the use of large pretrained language models as few-shot seman...

Richard Shin, et al. ∙

research

∙ 04/17/2021

Moving on from OntoNotes: Coreference Resolution Model Transfer

Academic neural models for coreference resolution are typically trained ...

Patrick Xia, et al. ∙

research

∙ 04/15/2021

Adaptive Active Learning for Coreference Resolution

Training coreference resolution models require comprehensively labeled d...

Michelle Yuan, et al. ∙

research

∙ 04/12/2021

Joint Universal Syntactic and Semantic Parsing

While numerous attempts have been made to jointly parse syntax and seman...

Elias Stengel-Eskin, et al. ∙

research

∙ 03/08/2021

InFillmore: Neural Frame Lexicalization for Narrative Text Infilling

We propose a structured extension to bidirectional-context conditional l...

Jiefu Ou, et al. ∙

research

∙ 03/03/2021

Gradual Fine-Tuning for Low-Resource Domain Adaptation

Fine-tuning is known to improve NLP models by adapting an initial model ...

Haoran Xu, et al. ∙

research

∙ 01/28/2021

LOME: Large Ontology Multilingual Extraction

We present LOME, a system for performing multilingual information extrac...

Patrick Xia, et al. ∙

research

∙ 10/28/2020

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

Copy mechanisms are employed in sequence to sequence models (seq2seq) to...

Abhinav Singh, et al. ∙

research

∙ 10/06/2020

COD3S: Diverse Generation with Discrete Semantic Signatures

We present COD3S, a novel method for generating semantically diverse sen...

Nathaniel Weir, et al. ∙

research

∙ 10/02/2020

Which *BERT? A Survey Organizing Contextualized Encoders

Pretrained contextualized text encoders are now a staple of the NLP comm...

Patrick Xia, et al. ∙

research

∙ 07/01/2020

Iterative Paraphrastic Augmentation with Discriminative Span Alignment

We introduce a novel paraphrastic augmentation strategy based on sentenc...

Ryan Culkin, et al. ∙

research

∙ 05/11/2020

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...

Nils Holzenberger, et al. ∙

research

∙ 04/30/2020

Revisiting Memory-Efficient Incremental Coreference Resolution

We explore the task of coreference resolution under fixed memory by exte...

Patrick Xia, et al. ∙

research

∙ 04/10/2020

On the Existence of Tacit Assumptions in Contextualized Language Models

Humans carry stereotypic tacit assumptions (STAs) (Prince, 1978), or pro...

Nathaniel Weir, et al. ∙

research

∙ 04/05/2020

Hierarchical Entity Typing via Multi-level Learning to Rank

We propose a novel method for hierarchical entity classification that em...

Tongfei Chen, et al. ∙

research

∙ 04/02/2020

Causal Inference of Script Knowledge

When does a sequence of events define an everyday scenario and how can t...

Noah Weber, et al. ∙

research

∙ 12/03/2019

Reading the Manual: Event Extraction as Definition Comprehension

We propose a novel approach to event extraction that supplies models wit...

Yunmo Chen, et al. ∙

research

∙ 11/09/2019

Multi-Sentence Argument Linking

We introduce a dataset with annotated Roles Across Multiple Sentences (R...

Seth Ebner, et al. ∙

research

∙ 11/08/2019

Interactive Refinement of Cross-Lingual Word Embeddings

Cross-lingual word embeddings transfer knowledge between languages: mode...

Michelle Yuan, et al. ∙

research

∙ 10/22/2019

Transductive Parsing for Universal Decompositional Semantics

We introduce a transductive model for parsing into Universal Decompositi...

Elias Stengel-Eskin, et al. ∙

research

∙ 10/06/2019

Exact and/or Fast Nearest Neighbors

Prior methods for retrieval of nearest neighbors in high dimensions are ...

Matthew Francis-Landau, et al. ∙

research

∙ 09/30/2019

The Universal Decompositional Semantics Dataset and Decomp Toolkit

We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...

Aaron Steven White, et al. ∙

research

∙ 09/06/2019

Uncertain Natural Language Inference

We propose a refinement of Natural Language Inference (NLI), called Unce...

Tongfei Chen, et al. ∙

research

∙ 09/05/2019

Broad-Coverage Semantic Parsing as Transduction

We unify different broad-coverage semantic parsing tasks under a transdu...

Sheng Zhang, et al. ∙

research

∙ 09/01/2019

A Discriminative Neural Model for Cross-Lingual Word Alignment

We introduce a novel discriminative word alignment model, which we integ...

Elias Stengel-Eskin, et al. ∙

research

∙ 07/09/2019

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

Popular Natural Language Inference (NLI) datasets have been shown to be ...

Yonatan Belinkov, et al. ∙

research

∙ 07/09/2019

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

Natural Language Inference (NLI) datasets often contain hypothesis-only ...

Yonatan Belinkov, et al. ∙

research

∙ 06/05/2019

Learning to Rank for Plausible Plausibility

Researchers illustrate improvements in contextual encoding strategies vi...

Zhongyang Li, et al. ∙

research

∙ 05/21/2019

AMR Parsing as Sequence-to-Graph Transduction

We propose an attention-based model that treats AMR parsing as sequence-...

Sheng Zhang, et al. ∙

research

∙ 05/15/2019

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

Contextualized representation models such as ELMo (Peters et al., 2018a)...

Ian Tenney, et al. ∙

research

∙ 04/25/2019

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension

We introduce a set of nine challenge tasks that test for the understandi...

Najoung Kim, et al. ∙

Benjamin Van Durme

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