2018

• Amir Bakarov, Roman Suvorov, and Ilya Sochenkov. The limitations of cross-language word embeddings evaluation. In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 94–100. 2018.
  [BibTeX▼]

  @inproceedings{bakarov2018limitations,
      author = "Bakarov, Amir and Suvorov, Roman and Sochenkov, Ilya",
      title = "The Limitations of Cross-language Word Embeddings Evaluation",
      booktitle = "Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics",
      pages = "94--100",
      year = "2018"
  }
  

• Amir Bakarov. A survey of word embeddings evaluation methods. arXiv preprint arXiv:1801.09536, 2018.
  [BibTeX▼]

  @article{bakarov2018survey,
      author = "Bakarov, Amir",
      title = "A Survey of Word Embeddings Evaluation Methods",
      journal = "arXiv preprint arXiv:1801.09536",
      year = "2018"
  }
  

• Marzena Karpinska, Bofang Li, Anna Rogers, and Aleksandr Drozd. Subcharacter information in japanese embeddings: when is it worth it? In In Proceedings of the Workshop on Relevance of Linguistic Structure in Neural Architectures for NLP (RELNLP) 2018, 28–37. ACL, 2018.
  [BibTeX▼]

  @inproceedings{karpinska2018RelNLP,
      author = "Karpinska, Marzena and Li, Bofang and Rogers, Anna and Drozd, Aleksandr",
      title = "Subcharacter Information in Japanese Embeddings: When Is It Worth It?",
      booktitle = "In Proceedings of the Workshop on Relevance of Linguistic Structure in Neural Architectures for NLP (RELNLP) 2018",
      pages = "28-37",
      year = "2018",
      organization = "ACL"
  }
  

• Bofang Li, Aleksandr Drozd, Tao Liu, and Xiaoyong Du. Subword-level composition functions for learning word embeddings. In Proceedings of The 2nd Workshop on Subword and Character level models in NLP (SCLeM), 38–48. ACL, 2018.
  [full text] [BibTeX▼]

  @inproceedings{li2018Subword,
      author = "Li, Bofang and Drozd, Aleksandr and Liu, Tao and Du, Xiaoyong",
      title = "Subword-Level Composition Functions for Learning Word Embeddings",
      booktitle = "Proceedings of The 2nd Workshop on Subword and Character level models in NLP (SCLeM)",
      pages = "38–48",
      year = "2018",
      organization = "ACL"
  }
  

2017

• Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, and Xiaoyong Du. Investigating different syntactic context types and context representations for learning word embeddings. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2421–2431. 2017.
  [full text] [BibTeX▼]

  @inproceedings{li2017investigating,
      author = "Li, Bofang and Liu, Tao and Zhao, Zhe and Tang, Buzhou and Drozd, Aleksandr and Rogers, Anna and Du, Xiaoyong",
      title = "Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings",
      booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
      pages = "2421--2431",
      year = "2017"
  }
  

• Anna Rogers, Aleksandr Drozd, and Bofang Li. The (too many) problems of analogical reasoning with word vectors. In Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (* SEM 2017), 135–148. 2017.
  [full text] [BibTeX▼]

  @inproceedings{rogers2017too,
      author = "Rogers, Anna and Drozd, Aleksandr and Li, Bofang",
      title = "The (Too Many) Problems of Analogical Reasoning with Word Vectors",
      booktitle = "Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (* SEM 2017)",
      pages = "135--148",
      year = "2017"
  }
  

2016

• Anna Gladkova, Aleksandr Drozd, and Satoshi Matsuoka. Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't. In Proceedings of the NAACL Student Research Workshop, 8–15. 2016.
  [full text] [BibTeX▼]

  @inproceedings{gladkova2016analogy,
      author = "Gladkova, Anna and Drozd, Aleksandr and Matsuoka, Satoshi",
      title = "Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.",
      booktitle = "Proceedings of the NAACL Student Research Workshop",
      pages = "8--15",
      year = "2016"
  }
  

• Anna Gladkova and Aleksandr Drozd. Intrinsic evaluations of word embeddings: what can we do better? In Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 36–42. 2016.
  [full text] [BibTeX▼]

  @inproceedings{gladkova2016intrinsic,
      author = "Gladkova, Anna and Drozd, Aleksandr",
      title = "Intrinsic evaluations of word embeddings: What can we do better?",
      booktitle = "Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP",
      pages = "36--42",
      year = "2016"
  }
  

• Aleksandr Drozd, Anna Gladkova, and Satoshi Matsuoka. Word embeddings, analogies, and machine learning: beyond king-man+ woman= queen. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 3519–3530. 2016.
  [full text] [BibTeX▼]

  @inproceedings{drozd2016word,
      author = "Drozd, Aleksandr and Gladkova, Anna and Matsuoka, Satoshi",
      title = "Word embeddings, analogies, and machine learning: Beyond king-man+ woman= queen",
      booktitle = "Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers",
      pages = "3519--3530",
      year = "2016"
  }
  

2015

• Aleksandr Drozd, Anna Gladkova, and Satoshi Matsuoka. Discovering aspectual classes of russian verbs in untagged large corpora. In Data Science and Data Intensive Systems (DSDIS), 2015 IEEE International Conference on, 61–68. IEEE, 2015.
  [full text] [BibTeX▼]

  @inproceedings{drozd2015discovering,
      author = "Drozd, Aleksandr and Gladkova, Anna and Matsuoka, Satoshi",
      title = "Discovering aspectual classes of Russian verbs in untagged large corpora",
      booktitle = "Data Science and Data Intensive Systems (DSDIS), 2015 IEEE International Conference on",
      pages = "61--68",
      year = "2015",
      organization = "IEEE"
  }
  

• Aleksandr Drozd, Anna Gladkova, and Satoshi Matsuoka. Python, performance, and natural language processing. In Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing, 1. ACM, 2015.
  [BibTeX▼]

  @inproceedings{drozd2015python,
      author = "Drozd, Aleksandr and Gladkova, Anna and Matsuoka, Satoshi",
      title = "Python, performance, and natural language processing",
      booktitle = "Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing",
      pages = "1",
      year = "2015",
      organization = "ACM"
  }