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Hits 21 – 40 of 140

21
Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 551-566 (2019) (2019)
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22
Autosegmental Input Strictly Local Functions
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 157-168 (2019) (2019)
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23
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 403-419 (2019) (2019)
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24
Analysis Methods in Neural Language Processing: A Survey
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 49-72 (2019) (2019)
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25
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
In: Computational Linguistics, Vol 45, Iss 3, Pp 559-601 (2019) (2019)
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26
What Do Language Representations Really Represent?
In: Computational Linguistics, Vol 45, Iss 2, Pp 381-389 (2019) (2019)
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27
CoQA: A Conversational Question Answering Challenge
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 249-266 (2019) (2019)
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28
Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments
In: Computational Linguistics, Vol 45, Iss 3, Pp 515-558 (2019) (2019)
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29
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 597-610 (2019) (2019)
Abstract: We introduce an architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts. Our system uses a single BiLSTM encoder with a shared byte-pair encoding vocabulary for all languages, which is coupled with an auxiliary decoder and trained on publicly available parallel corpora. This enables us to learn a classifier on top of the resulting embeddings using English annotated data only, and transfer it to any of the 93 languages without any modification. Our experiments in cross-lingual natural language inference (XNLI data set), cross-lingual document classification (MLDoc data set), and parallel corpus mining (BUCC data set) show the effectiveness of our approach. We also introduce a new test set of aligned sentences in 112 languages, and show that our sentence embeddings obtain strong results in multilingual similarity search even for low- resource languages. Our implementation, the pre-trained encoder, and the multilingual test set are available at https://github.com/facebookresearch/LASER .
Keyword: Computational linguistics. Natural language processing; P98-98.5
URL: https://doi.org/10.1162/tacl_a_00288
https://doaj.org/article/9dbebd9e90f34c40a57b6eb998665289
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30
GILE: A Generalized Input-Label Embedding for Text Classification
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 139-155 (2019) (2019)
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31
Neural Models of Text Normalization for Speech Applications
In: Computational Linguistics, Vol 45, Iss 2, Pp 293-337 (2019) (2019)
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32
Bayesian Learning of Latent Representations of Language Structures
In: Computational Linguistics, Vol 45, Iss 2, Pp 199-228 (2019) (2019)
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33
Inherent Disagreements in Human Textual Inferences
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 677-694 (2019) (2019)
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34
Neural Network Acceptability Judgments
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 625-641 (2019) (2019)
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35
Weakly Supervised Domain Detection
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 581-596 (2019) (2019)
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36
Contextualized Translations of Phrasal Verbs with Distributional Compositional Semantics and Monolingual Corpora
In: Computational Linguistics, Vol 45, Iss 3, Pp 395-421 (2019) (2019)
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37
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 643-659 (2019) (2019)
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38
Automatic Inference of Sound Correspondence Patterns across Multiple Languages
In: Computational Linguistics, Vol 45, Iss 1, Pp 137-161 (2019) (2019)
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39
Parsing Chinese Sentences with Grammatical Relations
In: Computational Linguistics, Vol 45, Iss 1, Pp 95-136 (2019) (2019)
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40
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 169-184 (2019) (2019)
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