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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 21351)
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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 21351) ...
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Attention Can Reflect Syntactic Structure (If You Let It) ...
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What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? ...
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Abstract:
Read the paper on the folowing link: https://direct.mit.edu/coli/article/46/4/763/97325/What-Should-Do-Can-LSTMs-Learn-When-Parsing Abstract: There is a growing interest in investigating what neural NLP models learn about language. A prominent open question is the question of whether or not it is necessary to model hierarchical structure. We present a linguistic investigation of a neural parser adding insights to this question. We look at transitivity and agreement information of auxiliary verb constructions (AVCs) in comparison to finite main verbs (FMVs). This comparison is motivated by theoretical work in dependency grammar and in particular the work of Tesnière (1959) where AVCs and FMVs are both instances of a nucleus, the basic unit of syntax. An AVC is a dissociated nucleus, it consists of at least two words, and an FMV is its non-dissociated counterpart, consisting of exactly one word. We suggest that the representation of AVCs and FMVs should capture similar information. We use diagnostic ...
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Keyword:
Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing
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URL: https://underline.io/lecture/20052-what-shoulddashdodashcan-lstms-learn-when-parsing-auxiliary-verb-constructionsquestion https://dx.doi.org/10.48448/ys11-hq56
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Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English ...
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Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English
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In: Tang, Gongbo; Sennrich, Rico; Nivre, Joakim (2020). Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English. In: Proceedings of the 28th International Conference on Computational Linguistics, Barcelona, Spain, 8 December 2020 - 13 December 2020, 4251-4262. (2020)
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Encoders Help You Disambiguate Word Senses in Neural Machine Translation ...
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Encoders Help You Disambiguate Word Senses in Neural Machine Translation ...
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