Towards the automatic detection and identification of English puns
@article{Miller2016TowardsTA, title={Towards the automatic detection and identification of English puns}, author={Tristan Miller and Mladen Turkovi{\'c}}, journal={The European Journal of Humour Research}, year={2016}, volume={4}, pages={59-75} }
Lexical polysemy, a fundamental characteristic of all human languages, has long been regarded as a major challenge to machine translation, human–computer interaction, and other applications of computational natural language processing (NLP). Traditional approaches to automatic word sense disambiguation (WSD) rest on the assumption that there exists a single, unambiguous communicative intention underlying every word in a document. However, writers sometimes intend for a word to be interpreted as… CONTINUE READING
20 Citations
SemEval-2017 Task 7: Detection and Interpretation of English Puns
- Computer Science
- SemEval@ACL
- 2017
- 60
- PDF
WECA:A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition
- Computer Science
- EMNLP
- 2018
- 7
- PDF
Humour Agent Detection in Puns
- Computer Science
- 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)
- 2019
BuzzSaw at SemEval-2017 Task 7: Global vs. Local Context for Interpreting and Locating Homographic English Puns with Sense Embeddings
- Computer Science
- SemEval@ACL
- 2017
- 6
- PDF
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations
- Computer Science
- ArXiv
- 2018
- 8
- PDF
Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network
- Computer Science
- WWW
- 2019
- 5
Heterographic pun identification model based on multi-dimensional semantic relationships
- Computer Science
- 2018
- 1
- Highly Influenced
- PDF
References
SHOWING 1-10 OF 68 REFERENCES
Automatically Extracting Word Relationships as Templates for Pun Generation
- Computer Science
- 2009
- 28
- PDF
Estimating Upper and Lower Bounds on the Performance of Word-Sense Disambiguation Programs
- Computer Science
- ACL
- 1992
- 229
- PDF
Reducing Lexical Semantic Complexity with Systematic Polysemous Classes and Underspecification
- Computer Science
- 2000
- 25
- PDF