lifengjin

lifengjin

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lifengjin's repositories

db-pcfg

Depth-Bounded PCFG Induction

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acl_flow

Normalizing Flow for PCFG induction

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dimi_emnlp18

Depth-bounded grammar Induction Model with Inside-sampling

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al-folio

A beautiful Jekyll theme for academics

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card2code

A code generation dataset for generating the code that implements Hearthstone and Magic The Gathering card effects.

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db_pcfg

DB PCFG

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DeepLearningExamples

Deep Learning Examples

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ELMoForManyLangs

Pre-trained ELMo Representations for Many Languages

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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grammar-optim

Code and Results for "Universals of word order reflect optimization of grammars for efficient communication"

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HIT-SCIR-CoNLL2019

"HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding"-1st system in CoNLL2019 shared task

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InOrderParser

TACL 2017

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latex-input

Enter Unicode characters using LaTeX notation

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lifengjin.github.io

my academic website

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lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

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man

Multinomial Adversarial Networks for Multi-Domain Text Classification

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natural-instructions

Expanding natural instructions

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perin

PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020

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pytorch-flows

PyTorch implementations of algorithms for density estimation

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self-attentive-parser

Constituency Parsing with a Self-Attentive Encoder (ACL 2018)

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struct-learning-with-flow

PyTorch Implementation of Unsupervised Learning of Syntactic Structure with Invertible Neural Projections

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task_oriented_dialogue_as_dataflow_synthesis

Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).

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TreeDRSparsing

The codes for the ACL 2019 paper (bs_sattn_drssup branch)

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TreeGen

A Tree-Based Transformer Architecture for Code Generation. (AAAI'20)

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vp-cnn-bea

the CNN for virtual patient

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