Search Results for author: Anhad Mohananey

Found 5 papers, 2 papers with code

Self-Training for Unsupervised Parsing with PRPN

no code implementations WS 2020 Anhad Mohananey, Katharina Kann, Samuel R. Bowman

To be able to use our model's predictions during training, we extend a recent neural UP architecture, the PRPN (Shen et al., 2018a) such that it can be trained in a semi-supervised fashion.

Language Modelling

BLiMP: The Benchmark of Linguistic Minimal Pairs for English

3 code implementations TACL 2020 Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman

We introduce The Benchmark of Linguistic Minimal Pairs (shortened to BLiMP), a challenge set for evaluating what language models (LMs) know about major grammatical phenomena in English.

Neural Unsupervised Parsing Beyond English

no code implementations WS 2019 Katharina Kann, Anhad Mohananey, Samuel R. Bowman, Kyunghyun Cho

Recently, neural network models which automatically infer syntactic structure from raw text have started to achieve promising results.

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