Who cites «MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text» · page 3
263 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge — 2018 · arXiv:1803.05457
- Towards Inference-Oriented Reading Comprehension: ParallelQA — 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning
- Transforming Question Answering Datasets Into Natural Language Inference Datasets — 2018 · arXiv:1809.02922
- What Makes Reading Comprehension Questions Easier? — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Whodunnit? Crime Drama as a Case for Natural Language Understanding — 2018 · Transactions of the Association for Computational Linguistics
- Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
- emrQA: A Large Corpus for Question Answering on Electronic Medical Records — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- A Constituent-Centric Neural Architecture for Reading Comprehension — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Broad Context Language Modeling as Reading Comprehension — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- Coarse-to-Fine Question Answering for Long Documents — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Dialog state tracking, a machine reading approach using Memory Network — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications — 2017 · arXiv:1711.05073
- Emergent Predication Structure in Hidden State Vectors of Neural Readers — 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP
- Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Gated End-to-End Memory Networks — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- Gated Self-Matching Networks for Reading Comprehension and Question Answering — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning and Knowledge Transfer with Memory Networks for Machine Comprehension — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- Learning to Ask: Neural Question Generation for Reading Comprehension — 2017 · arXiv:1705.00106
- Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks — 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
- Making Neural QA as Simple as Possible but not Simpler — 2017 · arXiv:1703.04816
- Modelling Protagonist Goals and Desires in First-Person Narrative — 2017 · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
- RACE: Large-scale ReAding Comprehension Dataset From Examinations — our card · 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Semi-Supervised QA with Generative Domain-Adaptive Nets — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- A Diagram Is Worth A Dozen Images — 2016 · arXiv:1603.07396
- A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task — 2016 · arXiv:1606.02858
- An Analysis of Prerequisite Skills for Reading Comprehension — 2016 · Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods
- Attention-Based Convolutional Neural Network for Machine Comprehension — 2016 · Proceedings of the Workshop on Human-Computer Question Answering
- Bidirectional Attention Flow for Machine Comprehension — 2016 · arXiv:1611.01603
- Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows — 2016 · Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Dynamic Coattention Networks For Question Answering — 2016 · arXiv:1611.01604
- Dynamic Entity Representation with Max-pooling Improves Machine Reading — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Easy Questions First? A Case Study on Curriculum Learning for Question Answering — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Joint Learning of Sentence Embeddings for Relevance and Entailment — 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP
- Learning To Use Formulas To Solve Simple Arithmetic Problems — our card · 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- MAWPS: A Math Word Problem Repository — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Machine Comprehension Using Match-LSTM and Answer Pointer — 2016 · arXiv:1608.07905
- Machine Comprehension using Rich Semantic Representations — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- SQuAD: 100,000+ Questions for Machine Comprehension of Text — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Science Question Answering using Instructional Materials — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Text Understanding with the Attention Sum Reader Network — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- The LAMBADA dataset: Word prediction requiring a broad discourse context — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Understanding Satirical Articles Using Common-Sense — 2016 · Transactions of the Association for Computational Linguistics
- Who did What: A Large-Scale Person-Centered Cloze Dataset — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- A Strong Lexical Matching Method for the Machine Comprehension Test — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Learning Answer-Entailing Structures for Machine Comprehension — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Machine Comprehension with Discourse Relations — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Machine Comprehension with Syntax, Frames, and Semantics — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Open IE as an Intermediate Structure for Semantic Tasks — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Teaching Machines to Read and Comprehend — 2015 · arXiv:1506.03340
- The Goldilocks Principle: Reading Children''s Books with Explicit Memory Representations — 2015 · arXiv:1511.02301
- Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks — our card · 2015 · arXiv:1502.05698
- Fact Checking: Task definition and dataset construction — 2014 · Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science
- Memory Networks — 2014 · arXiv:1410.3916
- Modeling Biological Processes for Reading Comprehension — 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Animacy Detection with Voting Models — 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing