Decrypting Cryptic Crosswords
📙Paper: “Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP” 🔑Public: ✅ ⚲ Area: Dataset, Deterministic 📅 Date: 2021-04-17 🔎 Paper Section: dataset /...
📙Paper: “Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP” 🔑Public: ✅ ⚲ Area: Dataset, Deterministic 📅 Date: 2021-04-17 🔎 Paper Section: dataset /...
📙Paper: “Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language” 🔑Public: ✅ ⚲ Area: Dataset, Deterministic 📅 Date: 2021-03-01 🔎 Paper Section: dataset / rule-based /...
📙Paper: “Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies” 🔑Public: ✅ ⚲ Area: Dataset, Commonsense 📅 Date: 2021-01-06 🔎 Paper Section: datase...
📙Paper: “RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge” 🔑Public: ✅ ⚲ Area: Dataset, Riddles 📅 Date: 2021-01-02 🔎 Paper Section: ...
📙Paper: “Language Models are Few-Shot Learners” 🔑Public: ✅ ⚲ Area: Prompting, Few-shot 📅 Date: 2020-05-28 🔎 Paper Section: methods / fundamental / few-shot 📝 References: 143
📙Paper: “PIQA: Reasoning about Physical Commonsense in Natural Language” 🔑Public: ✅ ⚲ Area: Dataset, Commonsense 📅 Date: 2019-11-26 🔎 Paper Section: dataset / rule-less / commonsense 📝...
📙Paper: “BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension” 🔑Public: ✅ ⚲ Area: Model 📅 Date: 2019-10-29 🔎 Paper Section: m...
📙Paper: “Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer” 🔑Public: ✅ ⚲ Area: Model 📅 Date: 2019-10-23 🔎 Paper Section: model 📝 References: 133
📙Paper: “ALBERT: A Lite BERT for Self-supervised Learning of Language Representations” 🔑Public: ✅ ⚲ Area: Model 📅 Date: 2019-09-26 🔎 Paper Section: methods / fine-tuning 📝 References: ...
📙Paper: “RoBERTa: A Robustly Optimized BERT Pretraining Approach” 🔑Public: ✅ ⚲ Area: Model 📅 Date: 2019-07-26 🔎 Paper Section: methods / fine-tuning 📝 References: 68