Readings

Topics for individual reading course:

• Compositionality reading list (Yuri)

• Meaning representations reading list (Mehdi)

• Lambda calculus reading list (Mehdi)

• Recognising textual entailment reading list (Yuri)

• Distributional semantics for textual entailment reading list (Yuri)

A general reading list is available here.

Paper suggestions for the reading group

• Jameel, Shoaib, Zied Bouraoui, and Steven Schockaert. “Unsupervised Learning of Distributional Relation Vectors.” In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Long Papers), 23–33. Melbourne, Australia, 2018.

• Vulić, Ivan, and Nikola Mrkšić. “Specialising Word Vectors for Lexical Entailment.” In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 1134–45. New Orleans, Louisiana: Association for Computational Linguistics, 2018.

• Hartmann, Mareike, Yova Kementchedjhieva, and Anders Søgaard. “Why Is Unsupervised Alignment of English Embeddings from Different Algorithms so Hard?” In ArXiv:1809.00150 [Cs]. Brussels, Belgium, 2018.