svivek

svivek's Stars

• VowpalWabbit/vowpal_wabbit

  Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

  Language:C++8.5k3521.3k1.9k

• jblas-project/jblas

  Linear Algebra for Java

  Language:Java5894087150

• bwaldvogel/liblinear-java

  Java version of LIBLINEAR

  Language:Java3063525184

• BLLIP/bllip-parser

  BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

  Language:GAP227176153

• utahnlp/layer_augmentation

  Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.

  Language:Python44456

• shusenl/nlpvis

  Visualization tool for interpreting NLP models

  Language:Python36504

• utahnlp/x-fact

  Official Code and Data repository of our ACL 2021 paper X-FACT: A New Benchmark Dataset for Multilingual Fact Checking.

  Language:Python24335

• utahnlp/BERT-fine-tuning-analysis

  The codebase for the paper: A Closer Look at How Fine-tuning Changes BERT

  Language:Python22313

• allenai/unqover

  UnQovering Stereotyping Biases via Underspecified Questions - EMNLP 2020 (Findings)

  Language:Jupyter Notebook19537

• utahnlp/DirectProbe

  Language:Python19201

• utahnlp/knowledge_infotabs

  Repository containing code for the NAACL 2021 paper (Incorporating External Knowledge to Enhance Tabular Reasoning)

  Language:Python17415

• tdavislab/verb

  Language:Python16304

• utahnlp/structured_tuning_srl

  Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling

  Language:Python16342

• yakazimir/esslli_neural_symbolic

  Course resources and notes for the ESSLLI 2023 course on neural symbolic methods.

  16201

• utahnlp/therapist-observer

  Code for the ACL 2019 paper "Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes"

  Language:Python13315

• jakpra/treeconstructive-supertagging

  A collection of tree-structured constructive CCG supertaggers.

  Language:Python9130

• sunipa/On-Measuring-and-Mitigating-Biased-Inferences-of-Word-Embeddings

  Debiasing both contextual and context free embeddings and developing a downstream metric for bias measurement

  Language:Python8311

• riedelcastro/theppl

  theppl: the successor of the markov thebeast probabilistic programming platform

  Language:Scala6412

• utahnlp/layer_augmentation_qa

  Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.

  Language:Python5401

• utahnlp/lapa-mrp

  The system submission "LAPA" of our team *Amazon* for MRP Shared Task

  Language:Python4410

• utahnlp/neural-logic

  Code for the paper: Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study (IJCAI 2021)

  Language:Python430

• utahnlp/word-salad

  Code for Paper BERT & Family Eat Word Salad: Experiments with Text Understanding at AAAI 2021

  430

• utahnlp/FeVER

  Implementation of the paper: Beyond Context: A New Perspective for Word Embeddings.

  Language:JavaScript330

• utahnlp/weak-verifiers

  This repository contains the data and implementation for the ACL'23 Findings paper: "Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS"

  Language:Python230