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Deep Multilingual Correlation for Improved Word Embeddings.

, , , , and . HLT-NAACL, page 250-256. The Association for Computational Linguistics, (2015)

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We are Humor Beings: Understanding and Predicting Visual Humor., , , , , , and . CVPR, page 4603-4612. IEEE Computer Society, (2016)Web-Scale Features for Full-Scale Parsing., and . ACL, page 693-702. The Association for Computer Linguistics, (2011)Coreference Semantics from Web Features., and . ACL (1), page 389-398. The Association for Computer Linguistics, (2012)Towards Universal Paraphrastic Sentence Embeddings., , , and . ICLR, (2016)Mapping Unseen Words to Task-Trained Embedding Spaces., , , and . Rep4NLP@ACL, page 100-110. Association for Computational Linguistics, (2016)Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning., and . EMNLP/IJCNLP (1), page 4473-4483. Association for Computational Linguistics, (2019)Revealing the Importance of Semantic Retrieval for Machine Reading at Scale., , and . EMNLP/IJCNLP (1), page 2553-2566. Association for Computational Linguistics, (2019)Improving Visual Question Answering by Referring to Generated Paragraph Captions., and . ACL (1), page 3606-3612. Association for Computational Linguistics, (2019)Medical Visual Question Answering at Image CLEF 2019- VQA Med., , , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models., and . CoNLL, page 486-496. Association for Computational Linguistics, (2018)