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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...7 Hits 1 – 20 of 140 1 Synchronous Bidirectional Neural Machine Translation Zhou, Long; Zhang, Jiajun; Zong, Chengqing In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 91-105 (2019) (2019) BASE Show details 2 Grammar Error Correction in Morphologically Rich Languages: The Case of Russian Rozovskaya, Alla; Roth, Dan In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 1-17 (2019) (2019) BASE Show details 3 DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension Sun, Kai; Yu, Dian; Chen, Jianshu... In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 217-231 (2019) (2019) BASE Show details 4 Ordered Tree Decomposition for HRG Rule Extraction Daniel Gildea; Giorgio Satta; Xiaochang Peng In: Computational Linguistics, Vol 45, Iss 2, Pp 339-379 (2019) (2019) BASE Show details 5 Novel Event Detection and Classification for Historical Texts Rachele Sprugnoli; Sara Tonelli In: Computational Linguistics, Vol 45, Iss 2, Pp 229-265 (2019) (2019) BASE Show details 6 Deep Contextualized Self-training for Low Resource Dependency Parsing Rotman, Guy; Reichart, Roi In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 695-713 (2019) (2019) Abstract: Neural dependency parsing has proven very effective, achieving state-of-the-art results on numerous domains and languages. Unfortunately, it requires large amounts of labeled data, which is costly and laborious to create. In this paper we propose a self-training algorithm that alleviates this annotation bottleneck by training a parser on its own output. Our Deep Contextualized Self-training (DCST) algorithm utilizes representation models trained on sequence labeling tasks that are derived from the parser’s output when applied to unlabeled data, and integrates these models with the base parser through a gating mechanism. We conduct experiments across multiple languages, both in low resource in-domain and in cross-domain setups, and demonstrate that DCST substantially outperforms traditional self-training as well as recent semi-supervised training methods. 1 Keyword: Computational linguistics. Natural language processing; P98-98.5 URL: https://doi.org/10.1162/tacl_a_00294 https://doaj.org/article/bb877d5436bf4d2098d245feda0ead29 BASE Hide details 7 A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-Based Chatbots Yu Wu; Wei Wu; Chen Xing... In: Computational Linguistics, Vol 45, Iss 1, Pp 163-197 (2019) (2019) BASE Show details 8 A Generative Model for Punctuation in Dependency Trees Li, Xiang Lisa; Wang, Dingquan; Eisner, Jason In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 357-373 (2019) (2019) BASE Show details 9 What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations Zeng, Jichuan; Li, Jing; He, Yulan... In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 267-281 (2019) (2019) BASE Show details 10 Semantic Neural Machine Translation Using AMR Song, Linfeng; Gildea, Daniel; Zhang, Yue... In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 19-31 (2019) (2019) BASE Show details 11 Natural Questions: A Benchmark for Question Answering Research Kwiatkowski, Tom; Palomaki, Jennimaria; Redfield, Olivia... In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 453-466 (2019) (2019) BASE Show details 12 Syntax-aware Semantic Role Labeling without Parsing Cai, Rui; Lapata, Mirella In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 343-356 (2019) (2019) BASE Show details 13 Insertion-based Decoding with Automatically Inferred Generation Order Gu, Jiatao; Liu, Qi; Cho, Kyunghyun In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 661-676 (2019) (2019) BASE Show details 14 Morphological Analysis Using a Sequence Decoder Akyürek, Ekin; Dayanık, Erenay; Yuret, Deniz In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 567-579 (2019) (2019) BASE Show details 15 Multiattentive Recurrent Neural Network Architecture for Multilingual Readability Assessment Azpiazu, Ion Madrazo; Pera, Maria Soledad In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 421-436 (2019) (2019) BASE Show details 16 Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems Banerjee, Suman; Khapra, Mitesh M. In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 485-500 (2019) (2019) BASE Show details 17 Evaluating Computational Language Models with Scaling Properties of Natural Language Takahashi, Shuntaro; Tanaka-Ishii, Kumiko In: Computational Linguistics, Vol 45, Iss 3, Pp 481-513 (2019) (2019) BASE Show details 18 Where’s My Head? Definition, Data Set, and Models for Numeric Fused-Head Identification and Resolution Elazar, Yanai; Goldberg, Yoav In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 519-535 (2019) (2019) BASE Show details 19 Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs Saha, Amrita; Ansari, Ghulam Ahmed; Laddha, Abhishek... In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 185-200 (2019) (2019) BASE Show details 20 Paraphrase-Sense-Tagged Sentences Cocos, Anne; Callison-Burch, Chris In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 714-728 (2019) (2019) BASE Show details Page: 1 2 3 4 5...7

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