research
∙
01/27/2023
Call for Papers – The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus
We present the call for papers for the BabyLM Challenge: Sample-efficien...
share
research
∙
12/21/2022
Reconstruction Probing
We propose reconstruction probing, a new analysis method for contextuali...
research
∙
09/26/2022
Entailment Semantics Can Be Extracted from an Ideal Language Model
Language models are often trained on text alone, without additional grou...
research
∙
08/17/2022
What Artificial Neural Networks Can Tell Us About Human Language Acquisition
Rapid progress in machine learning for natural language processing has t...
research
∙
03/12/2022
What Makes Reading Comprehension Questions Difficult?
For a natural language understanding benchmark to be useful in research,...
research
∙
09/14/2021
NOPE: A Corpus of Naturally-Occurring Presuppositions in English
Understanding language requires grasping not only the overtly stated con...
research
∙
06/01/2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
Crowdsourcing is widely used to create data for common natural language ...
research
∙
04/15/2021
Does Putting a Linguist in the Loop Improve NLU Data Collection?
Many crowdsourced NLP datasets contain systematic gaps and biases that a...
research
∙
01/26/2021
CLiMP: A Benchmark for Chinese Language Model Evaluation
Linguistically informed analyses of language models (LMs) contribute to ...
research
∙
11/10/2020
When Do You Need Billions of Words of Pretraining Data?
NLP is currently dominated by general-purpose pretrained language models...
research
∙
10/11/2020
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)
One reason pretraining on self-supervised linguistic tasks is effective ...
research
∙
07/14/2020
Can neural networks acquire a structural bias from raw linguistic data?
We evaluate whether BERT, a widely used neural network for sentence proc...
research
∙
04/07/2020
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition
Natural language inference (NLI) is an increasingly important task for n...
research
∙
12/02/2019
BLiMP: A Benchmark of Linguistic Minimal Pairs for English
We introduce The Benchmark of Linguistic Minimal Pairs (shortened to BLi...
research
∙
09/05/2019
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
Though state-of-the-art sentence representation models can perform tasks...
research
∙
01/11/2019
Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments
Recent pretrained sentence encoders achieve state of the art results on ...
research
∙
11/27/2018
Verb Argument Structure Alternations in Word and Sentence Embeddings
Verbs occur in different syntactic environments, or frames. We investiga...
research
∙
05/31/2018
