Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

By Hua He, Jimmy J. Lin, Adam Lopez. 2013

431 citations recorded by the source corpus.

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In Natural Language Processing

Citations in the corpus

News events prediction using Markov logic networks (2018, methodology): “Specially, we used the Persian dependency treebank [50] comprising 30,000 annotated Persian sentences and nearly 4800 distinct verb lemmas in its sentences based on dependency grammar.”
Recent advances in document summarization (2017, methodology): “The G-FLOW system [32] estimates coherence by using an approximate discourse graph, where each node is a sentence from the input documents and each edge represents a discourse J. Yao et al. CIRCUMSTANCE As your floppy drive writes or reads S PURPOSE a Syncom diskette is working four ways N to keep l”
Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study (2023, neutral): “as �� − �� = �� − �� [42, 51]; this allows subsequent computational operations to perform semantic manipulations.”
Visual Coreference Resolution in Visual Dialog using Neural Module Networks (2018, background): “It has long been understood [16, 45, 32, 47] that humans use coreferences, different phrases and short-hands such as pronouns, to refer to the same entity or referent in a single text.”
THINGS: A database of 1,854 object concepts and more than 26,000 naturalistic object images (2019, background): “Recent developments in word embeddings based on shallow neural networks, in particular word2vec (Mikolov et al., 2013), have led to strong improvements in performance.”
Description Based Text Classification with Reinforcement Learning (2020, background): “…Pontiki et al., 2016; Sun et al., 2019a), topic classiﬁcation (Schwartz et al., 1997; Quercia et al., 2012; Wang and Manning, 2012), spam detection (Ott et al., 2011, 2013; Li et al., 2014), etc. Standardly, text classiﬁcation is divided into the following two steps: (1) text feature extraction…”