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Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition
Research article (Interspeech 2016, 2016) · cited 14× · AI/ML
Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition
Summary
Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition is a scholarly article[1].
Key Facts
Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-cnn-and-blstm-to-extract-textual-and-acoustic-features-for-recognizing-stances-in-mandarin-ideological-debate-
MLA“Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-cnn-and-blstm-to-extract-textual-and-acoustic-features-for-recognizing-stances-in-mandarin-ideological-debate-.
BibTeX@misc{4ortxyz_combining-cnn-and-blstm-to-extract-textual-and-acoustic-features-for-recognizing-stances-in-mandarin-ideological-debate-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition}}, year = {2026}, url = {https://4ort.xyz/entity/combining-cnn-and-blstm-to-extract-textual-and-acoustic-features-for-recognizing-stances-in-mandarin-ideological-debate-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition — https://4ort.xyz/entity/combining-cnn-and-blstm-to-extract-textual-and-acoustic-features-for-recognizing-stances-in-mandarin-ideological-debate- (retrieved 2026-05-24)
