Search Results for author: Ruochen Xu

Found 14 papers, 7 papers with code

Leveraging Knowledge in Multilingual Commonsense Reasoning

no code implementations16 Oct 2021 Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng

Then we utilize a diverse of 4 English knowledge sources to provide more comprehensive coverage of knowledge in different formats.

Language Modelling Translation

Does Knowledge Help General NLU? An Empirical Study

no code implementations1 Sep 2021 Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng

It is often observed in knowledge-centric tasks (e. g., common sense question and answering, relation classification) that the integration of external knowledge such as entity representation into language models can help provide useful information to boost the performance.

Common Sense Reasoning Language Modelling +2

Fusing Context Into Knowledge Graph for Commonsense Question Answering

1 code implementation9 Dec 2020 Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang

However, although a KG contains rich structural information, it lacks the context to provide a more precise understanding of the concepts.

Knowledge Graphs Language Modelling +2

Predicting Performance for Natural Language Processing Tasks

1 code implementation ACL 2020 Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig

Given the complexity of combinations of tasks, languages, and domains in natural language processing (NLP) research, it is computationally prohibitive to exhaustively test newly proposed models on each possible experimental setting.

The ARIEL-CMU Systems for LoReHLT18

no code implementations24 Feb 2019 Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard Hovy, Alan W. black, Jaime Carbonell, Graham V. Horwood, Shabnam Tafreshi, Mona Diab, Efsun S. Kayi, Noura Farra, Kathleen McKeown

This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery and Linking (EDL), and detection of Situation Frames in Text and Speech (SF Text and Speech).

Machine Translation Translation

Unsupervised Cross-lingual Transfer of Word Embedding Spaces

1 code implementation EMNLP 2018 Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu

Supervised methods for this problem rely on the availability of cross-lingual supervision, either using parallel corpora or bilingual lexicons as the labeled data for training, which may not be available for many low resource languages.

Bilingual Lexicon Induction Cross-Lingual Transfer +3

Cross-lingual Distillation for Text Classification

1 code implementation ACL 2017 Ruochen Xu, Yiming Yang

Using soft probabilistic predictions for the documents in a label-rich language as the (induced) supervisory labels in a parallel corpus of documents, we train classifiers successfully for new languages in which labeled training data are not available.

Classification General Classification +3

Leveraging Multilingual Training for Limited Resource Event Extraction

no code implementations COLING 2016 Andrew Hsi, Yiming Yang, Jaime Carbonell, Ruochen Xu

Event extraction has become one of the most important topics in information extraction, but to date, there is very limited work on leveraging cross-lingual training to boost performance.

Dependency Parsing Event Extraction +3

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