danrsc / bert_brain_neurips_2019Links
Code associated with the paper "Inducing brain-relevant bias in natural language processing models" in the proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada.
☆12Updated 5 years ago
Alternatives and similar repositories for bert_brain_neurips_2019
Users that are interested in bert_brain_neurips_2019 are comparing it to the libraries listed below
Sorting:
- ☆58Updated 4 years ago
- How Contextual are Contextualized Word Representations?☆41Updated 5 years ago
- ☆86Updated last year
- Narratives: fMRI data for evaluating models of naturalistic language comprehension☆65Updated 6 months ago
- Diagnostic tests for linguistic capacities in language models☆65Updated 3 years ago
- CogniVal: cognitive word embedding evaluation☆16Updated 2 years ago
- ☆38Updated last year
- ☆25Updated 3 weeks ago
- ☆37Updated last year
- Code for replicating the work in "Targeted Syntactic Evaluation of Language Models." EMNLP 2018.☆43Updated 5 years ago
- A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models…☆43Updated 2 months ago
- Replication code for "With Little Power Comes Great Responsibility"☆39Updated 4 years ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆43Updated 2 years ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- ☆11Updated 3 years ago
- ☆11Updated 5 years ago
- Codebase for running (conditional) probing experiments☆21Updated 2 years ago
- Improving Word Translation via Two-Stage Contrastive Learning (ACL 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-…☆35Updated 8 months ago
- ☆90Updated 3 years ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆34Updated 3 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.☆106Updated 2 years ago
- ☆17Updated 5 years ago
- Analysis pipeline for Revisiting UID (EMNLP 2021)☆11Updated 2 years ago
- Source code for CoNLL 2021 paper by Huebner et al. 2021☆19Updated 2 years ago
- Repository describing example random control tasks for designing and interpreting neural probes☆32Updated 3 years ago
- Code for "Cross-Lingual Word Embedding Refinement by ℓ1 Norm Optimisation" (NAACL 2021)☆17Updated 3 years ago
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆82Updated last year
- ☆20Updated 3 years ago
- A simple, Python-based, command-line runner for MGIZA++.☆10Updated 3 years ago