verypluming

NLP Researcher

The University of TokyoJapan

Pinned Repositories

ccg2lambda
Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.
Language:Python238 32 2263
ccg2lambda
Language:Python0 2 01
HELP
HELP: a dataset for Handling Entailments with Lexical and logical Phenomena (Ver.1.0)
Language:Python14 3 22
JaNLI
Language:Python18 2 00
JapaneseNLI
Google Colabで日本語テキスト推論を試す
Language:Jupyter Notebook6 2 11
JSICK
Repository for JSICK
44 10 01
MED
Monotonicity Entailment Dataset (MED)
7 3 01
SyGNS
Language:Python3 2 10
systematicity
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Language:Prolog61
transitivity
repository for our EACL2021 paper "Exploring Transitivity in Neural NLI Models through Veridicality"
Language:Prolog30

verypluming's Repositories

verypluming/JSICK
Repository for JSICK
44 10 01
verypluming/JaNLI
Language:Python18 2 00
verypluming/HELP
HELP: a dataset for Handling Entailments with Lexical and logical Phenomena (Ver.1.0)
Language:Python14 3 22
verypluming/MED
Monotonicity Entailment Dataset (MED)
7 3 01
verypluming/JapaneseNLI
Google Colabで日本語テキスト推論を試す
Language:Jupyter Notebook6 2 11
verypluming/systematicity
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Language:Prolog61
verypluming/SyGNS
Language:Python3 2 10
verypluming/transitivity
repository for our EACL2021 paper "Exploring Transitivity in Neural NLI Models through Veridicality"
Language:Prolog30
verypluming/ccg2lambda
Language:Python0 2 01
verypluming/deeplearning
deeplearning experiments
Language:Python
verypluming/eved
repository for our LACompLing2021 paper