Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

By Katrin Erk, Noah Smith. 2016

34 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Natural Language Processing

Citations in the corpus

• Survey of Hallucination in Natural Language Generation (2022, neutral): “Following the previous works such as [36, 173, 187], Li et al.”
• The Gradient of Generative AI Release: Methods and Considerations (2023, neutral): “AI systems can propagate harms such as exacerbating social inequity [7, 41, 64] and harmful biases [13, 20], which can be further amplified in larger systems as scale increases [6].”
• Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge (2019, neutral): “…future work, we aim to investigate additional evaluation methods for NLG systems, such as post-edits (Sripada, Reiter, and Hawizy 2005), or extrinsic evaluation, such as NLG’s contribution to task success, e.g. (Rieser, Lemon, and Keizer 2014; Gkatzia, Lemon, and Rieser 2016).”
• Neural Machine Translation: A Review (2019, unknown): “Such a subnetwork can be recurrent (Ling et al., 2015; Johansen et al., 2016) or convolutional (Costa-jussà & Fonollosa, 2016; Kim et al., 2016).”
• NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction (2020, unknown): “, attention CNN [32], attention RNN [38, 39], and GCN [7, 37]).”
• Recent advances in document summarization (2017, unknown): “Currently the systems have mostly been evaluated on over-specific datasets and rely heavily on various components including parsing, coreference resolution, distributional semantics, lexical chains [49] and natural language generation from semantic graphs [50].”