Search Results for author:
Found 17 papers, 4 papers with code
FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization
In this paper, we investigate and improve faithfulness in summarization on a broad range of medical summarization tasks.
Pre-training Language Model as a Multi-perspective Course Learner
Besides, two self-correction courses are proposed to bridge the chasm between the two encoders by creating a "correction notebook" for secondary-supervision.
Language-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech Recognition
In this paper, we propose a language-universal adapter learning framework based on a pre-trained model for end-to-end multilingual automatic speech recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
In this study, a mixture of short-channel distillers (MSD) method is proposed to fully interact the rich hierarchical information in the teacher model and to transfer knowledge to the student model sufficiently and efficiently.
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT
Multilingual BERT (mBERT), a language model pre-trained on large multilingual corpora, has impressive zero-shot cross-lingual transfer capabilities and performs surprisingly well on zero-shot POS tagging and Named Entity Recognition (NER), as well as on cross-lingual model transfer.
USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition
The proposed method is applied to several state-of-the-art Transformer-based NER models with a gazetteer built from Wikidata, and shows great generalization ability across them.
Multi-Level Contrastive Learning for Cross-Lingual Alignment
Cross-language pre-trained models such as multilingual BERT (mBERT) have achieved significant performance in various cross-lingual downstream NLP tasks.
Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features
In this paper, instead of using the ASR transcripts, the fusion of deep acoustic and linguistic features is used for topic classification on spoken documents.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Bidirectional Multiscale Feature Aggregation for Speaker Verification
In this paper, we propose a novel bidirectional multiscale feature aggregation (BMFA) network with attentional fusion modules for text-independent speaker verification.
Improved Meta-Learning Training for Speaker Verification
By combining these two methods, we can observe further improvements on these two databases.
Multi-task Metric Learning for Text-independent Speaker Verification
To evaluate the proposed method, we conduct experiments on the Speaker in the Wild (SITW) dataset.
Exploring Universal Speech Attributes for Speaker Verification with an Improved Cross-stitch Network
The universal speech attributes for x-vector based speaker verification (SV) are addressed in this paper.
Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification
The x-vector based deep neural network (DNN) embedding systems have demonstrated effectiveness for text-independent speaker verification.
Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker Verification
In this paper, gating mechanisms are applied in deep neural network (DNN) training for x-vector-based text-independent speaker verification.
The USTC-NEL Speech Translation system at IWSLT 2018
This paper describes the USTC-NEL system to the speech translation task of the IWSLT Evaluation 2018.
Integrate Document Ranking Information into Confidence Measure Calculation for Spoken Term Detection
The confidence measure of each term occurrence is then re-estimated through linear interpolation with the calculated document ranking weight to improve its reliability by integrating document-level information.
