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self-attentive-parser

High-accuracy NLP parser with models for 11 languages.

senteval

A python tool for evaluating the quality of sentence embeddings.

simalign

Obtain Word Alignments using Pretrained Language Models (e.g., mBERT)

slurm-quick-tour

structured-self-attentive-sentence-embedding

An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' (Lin et al., ICLR 2017).

sub2-augmentation

[ACL 2021 Findings] Subtree/subsequence substitution as data augmentation

svamp

NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?

syntaxeval

An efficient toolkit for syntactic evaluation (Marvin and Linzen, EMNLP 2018; Gulordava et al., NAACL 2018).

text-to-logicform

Text-to-LogicForm is a simple code for leveraging a syntactic graph for semantic parsing using a nov

textcnn_public

treeenc

[EMNLP 2018] On Tree-Based Neural Sentence Modeling.

unsupervised-pseudo-multi-sense-elimination

Code implementation of our paper in LREC 2018, Constructing High Quality Sense-specific Corpus and Word Embedding via Unsupervised Elimination of Pseudo Multi-sense

vecmap

A framework to learn cross-lingual word embedding mappings

vgnsl

[ACL 2019] Visually Grounded Neural Syntax Acquisition

vse-c

[COLING 2018] Learning Visually-Grounded Semantics from Contrastive Adversarial Samples.