Search Results for author: Eunah Cho

Found 32 papers, 1 papers with code

Domain-independent Punctuation and Segmentation Insertion

no code implementations IWSLT 2017 Eunah Cho, Jan Niehues, Alex Waibel

Experiments show that generalizing rare and unknown words greatly improves the punctuation insertion performance, reaching up to 8. 8 points of improvement in F-score when applied to the out-of-domain test scenario.

Machine Translation POS +2

X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects

no code implementations15 Nov 2023 Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang

Natural Language Generation (NLG) typically involves evaluating the generated text in various aspects (e. g., consistency and naturalness) to obtain a comprehensive assessment.

Dialogue Generation Language Modelling +2

RecMind: Large Language Model Powered Agent For Recommendation

no code implementations28 Aug 2023 Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Yingzhen Yang

While the recommendation system (RS) has advanced significantly through deep learning, current RS approaches usually train and fine-tune models on task-specific datasets, limiting their generalizability to new recommendation tasks and their ability to leverage external knowledge due to model scale and data size constraints.

Explanation Generation Language Modelling +2

Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding

no code implementations23 May 2023 Zheng Chen, Ziyan Jiang, Fan Yang, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Aram Galstyan

This paper presents our "Collaborative Query Rewriting" approach, which specifically addresses the task of rewriting new user interactions that have not been previously observed in the user's history.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +9

Data Augmentation using Pre-trained Transformer Models

3 code implementations AACL (lifelongnlp) 2020 Varun Kumar, Ashutosh Choudhary, Eunah Cho

Language model based pre-trained models such as BERT have provided significant gains across different NLP tasks.

Data Augmentation Language Modelling

Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning

no code implementations WS 2017 Jan Niehues, Eunah Cho

Linguistic resources such as part-of-speech (POS) tags have been extensively used in statistical machine translation (SMT) frameworks and have yielded better performances.

Machine Translation Multi-Task Learning +3

Analyzing Neural MT Search and Model Performance

no code implementations WS 2017 Jan Niehues, Eunah Cho, Thanh-Le Ha, Alex Waibel

By separating the search space and the modeling using $n$-best list reranking, we analyze the influence of both parts of an NMT system independently.

NMT Translation

The KIT Lecture Corpus for Speech Translation

no code implementations LREC 2012 Sebastian St{\"u}ker, Florian Kraft, Christian Mohr, Teresa Herrmann, Eunah Cho, Alex Waibel

Academic lectures offer valuable content, but often do not reach their full potential audience due to the language barrier.

Speech Recognition Translation

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