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IJCNLP-2017 Task 4: Customer Feedback Analysis.

, , , and . IJCNLP (Shared Tasks), page 26-33. Asian Federation of Natural Language Processing, (2017)

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Grounding Object Detections With Transcriptions., , , and . CoRR, (2019)IJCNLP-2017 Task 4: Customer Feedback Analysis., , , and . IJCNLP (Shared Tasks), page 26-33. Asian Federation of Natural Language Processing, (2017)Eyes and Ears Together: New Task for Multimodal Spoken Content Analysis., , , and . MediaEval, volume 2283 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)An Investigative Study of Multi-Modal Cross-Lingual Retrieval., , , , , and . CLSSTS@LREC, page 58-67. European Language Resources Association, (2020)LSTM Language Model Adaptation with Images and Titles for Multimedia Automatic Speech Recognition., and . SLT, page 219-226. IEEE, (2018)Improving Noise Robustness for Spoken Content Retrieval using Semi-supervised ASR and N-best Transcripts for BERT-based Ranking Models., and . CoRR, (2023)Augmenting ASR for User-Generated Videos with Semi-supervised Training and Acoustic Model Adaptation for Spoken Content Retrieval., and . SLSP, volume 13062 of Lecture Notes in Computer Science, page 73-84. Springer, (2021)DCU-ADAPT at the TREC 2020 Podcasts Track., and . TREC, volume 1266 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)Improving Noise Robustness for Spoken Content Retrieval Using Semi-Supervised ASR and N-Best Transcripts for BERT-Based Ranking Models., and . SLT, page 398-405. IEEE, (2022)An ASR N-Best Transcript Neural Ranking Model for Spoken Content Retrieval., and . ASRU, page 1058-1064. IEEE, (2021)