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University of Alberta
- Edmonton, Alberta, Canada
- http://TheShayegh.github.io/
- in/TheShayegh
- https://scholar.google.ca/citations?user=mYwraykAAAAJ
- @TheShayegh
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A library for building hierarchical text representation and corresponding downstream applications.
Raw corpus, POS tagged corpus and chunked corpus for Bhojpuri, Magahi and Maithili
Neural Combinatory Constituency Parsing | ACL2021 Findings | TACL 2023 | Tokyo Metropolitan University | Natural Language Processing Group (Komachi Lab)
High-accuracy NLP parser with models for 11 languages.
source code of NAACL2021 "PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols“ and ACL2021 main conference "Neural Bilexicalized PCFG Induction"
Official Implementation of ACL2023: Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars
Enhancing Unsupervised Generative Dependency Parser with Contextual Information
Official implementation of the ACL 2022 paper "Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization"
Source code for ``Straight to the Tree: Constituency Parsing with Neural Syntactic Distance'' published at ACL 2018
Official Code for our Findings of ACL 2022 paper: Co-training an Unsupervised Constituency Parser with Weak Supervision
Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"
[ACL 2023] Contextual Distortion Reveals Constituency: Mask Language Models are Implicit Parsers.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Normalized and modified version of Bijankhan corpus
A curated reading list of research in Mixture-of-Experts(MoE).
A set of pre-trained word vectors for Persian language
HIT-SCIR / ELMoForManyLangs
Forked from bozheng-hit/ELMoPre-trained ELMo Representations for Many Languages
A framework to learn cross-lingual word embedding mappings