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Hits 1 – 14 of 14

1
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora ...
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2
IntKB: A Verifiable Interactive Framework for Knowledge Base Completion ...
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3
Learning a Cost-Effective Annotation Policy for Question Answering
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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4
IntKB: A Verifiable Interactive Framework for Knowledge Base Completion
In: Proceedings of the 28th International Conference on Computational Linguistics (2020)
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5
Identifying Linguistic Cues of Fake News Associated with Cognitive and Affective Processing: Evidence from NeuroIS
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6
RankQA: Neural question answering with answer re-ranking ...
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7
Learning interpretable negation rules via weak supervision at document level: A reinforcement learning approach ...
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8
Learning interpretable negation rules via weak supervision at document level: A reinforcement learning approach
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2019)
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9
RankQA: Neural question answering with answer re-ranking
In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (2019)
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10
Statistical Inferences for Polarity Identification in Natural Language
In: PLoS ONE, 13 (12) (2018)
Abstract: Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives. It is thus the mission of researchers to understand how humans process information to reach decisions. In order to facilitate this task, this work proposes LASSO regularization as a statistical tool to extract decisive words from textual content in order to study the reception of granular expressions in natural language. This differs from the usual use of the LASSO as a predictive model and, instead, yields highly interpretable statistical inferences between the occurrences of words and an outcome variable. Accordingly, the method suggests direct implications for the social sciences: it serves as a statistical procedure for generating domain-specific dictionaries as opposed to frequently employed heuristics. In addition, researchers can now identify text segments and word choices that are statistically decisive to authors or readers and, based on this knowledge, test hypotheses from behavioral research. ; ISSN:1932-6203
URL: https://doi.org/10.3929/ethz-b-000309052
https://hdl.handle.net/20.500.11850/309052
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11
Statistical inferences for polarity identification in natural language
Pröllochs, Nicolas; Feuerriegel, Stefan; Neumann, Dirk. - : Public Library of Science, 2018
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12
Statistical inferences for polarity identification in natural language
In: PLOS ONE. - 13, 12 (2018) , e0209323, ISSN: 1932-6203 (2018)
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13
Improving sentiment analysis with document-level semantic relationships from rhetoric discourse structures
In: Proceedings of the 50th Hawaii International Conference on System Sciences (2017)
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14
Improving Sentiment Analysis with Document-Level Semantic Relationships from Rhetoric Discourse Structures
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