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Found 15 papers, 3 papers with code
Synthetic Propaganda Embeddings To Train A Linear Projection
This paper presents a method of detecting fine-grained categories of propaganda in text.
How Much of Enhanced UD Is Contained in UD?
This algorithm can transform gold UD trees to EUD graphs with an ELAS score of 81. 55 and a EULAS score of 96. 70.
We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.
UniMorph 4.0: Universal Morphology
The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema.
Can predicate-argument relationships be extracted from UD trees?
In this paper we investigate the possibility of extracting predicate-argument relations from UD trees (and enhanced UD graphs).
Language Modeling with Syntactic and Semantic Representation for Sentence Acceptability Predictions
Our experiments also show that neither syntactic nor semantic tags improve the performance of LSTM language models on the task of predicting sentence acceptability judgments.
SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages
This year's iteration of the SIGMORPHON Shared Task on morphological reinflection focuses on typological diversity and cross-lingual variation of morphosyntactic features.
Training Strategies for Neural Multilingual Morphological Inflection
This paper presents the submission of team GUCLASP to SIGMORPHON 2021 Shared Task on Generalization in Morphological Inflection Generation.
How does Punctuation Affect Neural Models in Natural Language Inference
Natural Language Inference models have reached almost human-level performance but their generalisation capabilities have not been yet fully characterized.
In Search of Meaning and Its Representations for Computational Linguistics
In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.
Fine-grained Entailment: Resources for Greek NLI and Precise Entailment
First, we extend the Greek version of the FraCaS test suite to include examples where the inference is directly linked to the syntactic/morphological properties of Greek.
Composing Byte-Pair Encodings for Morphological Sequence Classification
Byte-pair encodings is a method for splitting a word into sub-word tokens, a language model then assigns contextual representations separately to each of these tokens.
