punchwes Goto Github PK

admission_prediction

aggcn

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

bpemb

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

ccks2019

实体识别比赛

compgcn

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

context-probes

Using syntactic and semantic probing tasks to evaluate how contextual word embeddings encode language

discobert

Code for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)

easyoverseas

including a spider, a browser, a prediction model and analysis

evalrank-embedding-evaluation

ACL 2022: Just Rank: Rethinking Evaluation with Word and Sentence Similarities

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

gnns-for-nlp

Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019 and CODS-COMAD 2020

linkedin-for-scu

this is a project concerning SCU alumni

nlp-progress

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.

nlp-text-mining-working-examples

Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark

numpy-ml

Machine learning, in numpy

paraphrase-metrics

ACL 2022 paper "Towards Better Characterization of Paraphrases"

punchwes.github.io

relpron

Code for the article: Laura Rimell, Jean Maillard, Tamara Polajnar and Stephen Clark. 2016. RELPRON: A Relative Clause Composition Data Set for Compositional Distributional Semantics. Computational Linguistics.

representations_of_syntax

Code and Resources for the paper 'Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs' by Lepori, Linzen, and McCoy

sata-tree-lstm

Implementation of SATA Tree-LSTM (Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations, AAAI 2019)

scan

Simple language-driven navigation tasks for studying compositional learning

semanticoverlap-for-paraphrasedetection

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

senteval

A python tool for evaluating the quality of sentence embeddings.

serve

Model Serving on PyTorch

sift

stanza

Official Stanford NLP Python Library for Many Human Languages

tag-classification-framework

Framework for building pipelines of NLP processing and classification