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Found 8 papers, 1 papers with code
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes
We propose a methodology for representing the reasoning structure of arguments using Bayesian networks and predicate logic facilitated by argumentation schemes.
Code Generation for Unknown Libraries via Reading API Documentations
Moreover, to evaluate code generation for unknown libraries and our framework, we extend an existing dataset of open-domain code generation and resplit it so that the evaluation data consist of only examples using the libraries that do not appear in the training data.
On the Relationship between Zipf's Law of Abbreviation and Interfering Noise in Emergent Languages
Our results suggest that noise on a speaker is one of the factors for ZLA or at least causes emergent languages to approach ZLA, while noise on a listener and a channel is not.
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling
Definition modeling includes acquiring word embeddings from dictionary definitions and generating definitions of words.
Global Entity Disambiguation with BERT
We propose a global entity disambiguation (ED) model based on BERT.
Ranked #1 on
Entity Disambiguation
on MSNBC
Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations
Our proposed model of $P(path|w_1, w_2)$ can be learned in an unsupervised manner and can generalize the co-occurrences of word pairs and dependency paths.
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
This overcomes the critical data sparseness problem encountered in previous pattern-based models.
