activity
20152022
most citedWhat do you learn from context? Probing for sentence structure in contextualized word representations

139 citations · 237 across the 27 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

cs.CL2020

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

Abhinav Singh, Patrick Xia, Guanghui Qin +2

Copy mechanisms are employed in sequence to sequence models (seq2seq) to generate reproductions of words from the input to the output. These frameworks, operating at the lexical ty…

cs.CL2020

COD3S: Diverse Generation with Discrete Semantic Signatures

Nathaniel Weir, João Sedoc, Benjamin Van Durme

We present COD3S, a novel method for generating semantically diverse sentences using neural sequence-to-sequence (seq2seq) models. Conditioned on an input, seq2seq models typically…

cs.CL20205 cited

Which *BERT? A Survey Organizing Contextualized Encoders

Patrick Xia, Shijie Wu, Benjamin Van Durme

Pretrained contextualized text encoders are now a staple of the NLP community. We present a survey on language representation learning with the aim of consolidating a series of sha…

cs.CL2020

Iterative Paraphrastic Augmentation with Discriminative Span Alignment

Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin +2

We introduce a novel paraphrastic augmentation strategy based on sentence-level lexically constrained paraphrasing and discriminative span alignment. Our approach allows for the la…

cs.CL20208 cited

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

Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme

Legislation can be viewed as a body of prescriptive rules expressed in natural language. The application of legislation to facts of a case we refer to as statutory reasoning, where…

cs.CL2020

Incremental Neural Coreference Resolution in Constant Memory

Patrick Xia, João Sedoc, Benjamin Van Durme

We investigate modeling coreference resolution under a fixed memory constraint by extending an incremental clustering algorithm to utilize contextualized encoders and neural compon…