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Found 13 papers, 4 papers with code
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting
In this paper, we propose zero-shot instance-weighting, a general model-agnostic zero-shot learning framework for improving CLTC by leveraging source instance weighting.
Universal Proposition Bank 2.0
Semantic role labeling (SRL) represents the meaning of a sentence in the form of predicate-argument structures.
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers
Non-linear functions are prevalent in Transformers and their lightweight variants, incurring substantial and frequently underestimated hardware costs.
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation
In this paper, we address key practical issues with existing evaluation scripts and propose a more strict SRL evaluation metric PriMeSRL.
Development of an Enterprise-Grade Contract Understanding System
Contracts are arguably the most important type of business documents.
Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation
Deep neural models achieve some of the best results for semantic role labeling.
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling
Although different languages have different argument annotations, polyglot training, the idea of training one model on multiple languages, has previously been shown to outperform monolingual baselines, especially for low resource languages.
A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument Labels
Resources for Semantic Role Labeling (SRL) are typically annotated by experts at great expense.
Small but Mighty: New Benchmarks for Split and Rephrase
Split and Rephrase is a text simplification task of rewriting a complex sentence into simpler ones.
Towards Universal Semantic Representation
Natural language understanding at the semantic level and independent of language variations is of great practical value.
SystemT: Declarative Text Understanding for Enterprise
The rise of enterprise applications over unstructured and semi-structured documents poses new challenges to text understanding systems across multiple dimensions.
Multilingual Information Extraction with PolyglotIE
We present PolyglotIE, a web-based tool for developing extractors that perform Information Extraction (IE) over multilingual data.
