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Found 17 papers, 4 papers with code
End-to-end style-conditioned poetry generation: What does it take to learn from examples alone?
In this work, we design an end-to-end model for poetry generation based on conditioned recurrent neural network (RNN) language models whose goal is to learn stylistic features (poem length, sentiment, alliteration, and rhyming) from examples alone.
SemEval-2021 Task 12: Learning with Disagreements
Disagreement between coders is ubiquitous in virtually all datasets annotated with human judgements in both natural language processing and computer vision.
Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning
Most humour processing systems to date make at best discrete, coarse-grained distinctions between the comical and the conventional, yet such notions are better conceptualized as a broad spectrum.
The Punster's Amanuensis: The Proper Place of Humans and Machines in the Translation of Wordplay
The translation of wordplay is one of the most extensively researched problems in translation studies, but it has attracted little attention in the fields of natural language processing and machine translation.
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning
The inability to quantify key aspects of creative language is a frequent obstacle to natural language understanding.
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd
The study of argumentation and the development of argument mining tools depends on the availability of annotated data, which is challenging to obtain in sufficient quantity and quality.
Cross-topic Argument Mining from Heterogeneous Sources
Argument mining is a core technology for automating argument search in large document collections.
ArgumenText: Searching for Arguments in Heterogeneous Sources
Argument mining is a core technology for enabling argument search in large corpora.
Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks
Argument mining is a core technology for automating argument search in large document collections.
SemEval-2017 Task 7: Detection and Interpretation of English Puns
A pun is a form of wordplay in which a word suggests two or more meanings by exploiting polysemy, homonymy, or phonological similarity to another word, for an intended humorous or rhetorical effect.
Metaheuristic Approaches to Lexical Substitution and Simplification
In this paper, we propose using metaheuristics{---}in particular, simulated annealing and the new D-Bees algorithm{---}to solve word sense disambiguation as an optimization problem within a knowledge-based lexical substitution system.
CNN- and LSTM-based Claim Classification in Online User Comments
When processing arguments in online user interactive discourse, it is often necessary to determine their bases of support.
Sense-annotating a Lexical Substitution Data Set with Ubyline
Also introduced in this paper is Ubyline, the web application used to produce the sense annotations.
WordNet---Wikipedia---Wiktionary: Construction of a Three-way Alignment
The coverage and quality of conceptual information contained in lexical semantic resources is crucial for many tasks in natural language processing.
