Wenpeng Yin

Research output

Research output per year 2012 2012 2015 2021 2022 2023 2024

• 39 Conference contribution
• 8 Article
• 6 Paper

Research output per year

Research output per year

Search results

• 2024

  Large Language Models for Mathematical Reasoning: Progresses and Challenges

  Ahn, J., Verma, R., Lou, R., Liu, D., Zhang, R. & Yin, W., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop. Falk, N., Papi, S. & Zhang, M. (eds.). Association for Computational Linguistics (ACL), p. 225-237 13 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Toward Zero-Shot Instruction Following

  Lou, R. & Yin, W., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop. Falk, N., Papi, S. & Zhang, M. (eds.). Association for Computational Linguistics (ACL), p. 50-60 11 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2023

  Event Linking: Grounding Event Mentions to Wikipedia

  Yu, X., Yin, W., Gupta, N. & Roth, D., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 2671-2680 10 p. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Scopus citations

• Indirectly Supervised Natural Language Processing

  Yin, W., Chen, M., Zhou, B., Ning, Q., Chang, K. W. & Roth, D., 2023, Tutorial Abstracts. Association for Computational Linguistics (ACL), p. 32-40 9 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 6).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Scopus citations

• Learning to Select from Multiple Options

  Du, J., Yin, W., Xia, C. & Yu, P. S., Jun 27 2023, AAAI-23 Technical Tracks 11. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 12754-12762 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Scopus citations

• Robustness of Learning from Task Instructions

  Gu, J., Zhao, H., Xu, H., Nie, L., Mei, H. & Yin, W., 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 13935-13948 14 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Scopus citations

• Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning

  Das, S. S. S., Zhang, R. H., Shi, P., Yin, W. & Zhang, R., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 6998-7010 13 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2022

  Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System

  Tian, C., Yin, W. & Moens, M. F., 2022, Findings of the Association for Computational Linguistics: NAACL 2022 - Findings. Association for Computational Linguistics (ACL), p. 565-577 13 p. (Findings of the Association for Computational Linguistics: NAACL 2022 - Findings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Dialogue Systems 100%
  • Dialogue 78%
  • Reinforcement learning 55%
  • Policy 54%
  • Completion 50%
  2 Scopus citations

• ConTinTin: Continual Learning from Task Instructions

  Yin, W., Li, J. & Xiong, C., 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 3062-3072 11 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Natural language processing systems 100%
  • instruction 50%
  • Natural Language Processing (NLP) 33%
  • Machine learning 30%
  • learning 27%
  14 Scopus citations

• OpenStance: Real-world Zero-shot Stance Detection

  Xu, H., Vucetic, S. & Yin, W., 2022, CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 314-324 11 p. (CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Scopus citations

• Pairwise Representation Learning for Event Coreference

  Yu, X., Yin, W. & Roth, D., 2022, *SEM 2022 - 11th Joint Conference on Lexical and Computational Semantics, Proceedings of the Conference. Nastase, V., Pavlick, E., Pilehvar, M. T., Camacho-Collados, J. & Raganato, A. (eds.). Association for Computational Linguistics (ACL), p. 69-78 10 p. (*SEM 2022 - 11th Joint Conference on Lexical and Computational Semantics, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning 100%
  • Pairwise 96%
  • Text 82%
  • Binary Classification 30%
  • Natural Language 27%
  9 Scopus citations
• 2021

  BATCHMIXUP: Improving Training by Interpolating Hidden States of the Entire Mini-batch

  Yin, W., Wang, H., Qu, J. & Xiong, C., 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Zong, C., Xia, F., Li, W. & Navigli, R. (eds.). Association for Computational Linguistics (ACL), p. 4908-4912 5 p. (Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • model learning 100%
  • Learning Model 80%
  • Natural Language Processing (NLP) 76%
  • random sample 68%
  • performance 66%
  13 Scopus citations

• DOCNLI: A Large-scale Dataset for Document-level Natural Language Inference

  Yin, W., Radev, D. & Xiong, C., 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Zong, C., Xia, F., Li, W. & Navigli, R. (eds.). Association for Computational Linguistics (ACL), p. 4913-4922 10 p. (Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Natural Language Processing (NLP) 100%
  • Natural Language 84%
  • Inference 73%
  • Granularity 49%
  • Tuning 40%
  49 Scopus citations

• Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System

  Xia, C., Yin, W., Feng, Y. & Yu, P., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1351-1360 10 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Natural language processing systems 100%
  • Labeled data 96%
  • Labeling 80%
  27 Scopus citations

• Learning to Synthesize Data for Semantic Parsing

  Wang, B., Yin, W., Lin, X. V. & Xiong, C., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 2760-2766 7 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantics 100%
  • Chemical analysis 38%
  21 Scopus citations
• 2020

  Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks

  Sun, L., Xia, C., Yin, W., Liang, T., Yu, P. S. & He, L., 2020, COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. Scott, D., Bel, N. & Zong, C. (eds.). Association for Computational Linguistics (ACL), p. 3436-3440 5 p. (COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  63 Scopus citations

• Universal natural language processing with limited annotations: Try few-shot textual entailment as a start

  Yin, W., Rajani, N. F., Radev, D., Socher, R. & Xiong, C., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 8229-8239 11 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Annotation 100%
  • Natural Language 91%
  • Natural language processing systems 87%
  • Question Answering 25%
  • Single Machine 22%
  40 Scopus citations
• 2019

  Benchmarking zero-shot text classification: Datasets, evaluation and entailment approach

  Yin, W., Hay, J. & Roth, D., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 3914-3923 10 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Benchmarking 82%
  • Text 54%
  • Emotion 53%
  • Labels 49%
  • Evaluation 42%
  282 Scopus citations

• Seeing things from a different angle: Discovering diverse perspectives about claims

  Chen, S., Khashabi, D., Yin, W., Callison-Burch, C. & Roth, D., 2019, Long and Short Papers. Association for Computational Linguistics (ACL), p. 542-557 16 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Natural language processing systems 100%
  • Crowdsourcing 48%
  • Search engines 41%
  • Contamination 39%
  • Animals 39%
  71 Citations (SciVal)
• 2018

  End-task oriented textual entailment via deep explorations of inter-sentence interactions

  Yin, W., Schütze, H. & Roth, D., 2018, ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Short Papers). Association for Computational Linguistics (ACL), p. 540-545 6 p. (ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Question Answering 100%
  • Convolution 69%
  • Interaction 50%
  • Awareness 46%
  • Experiment 26%
  10 Scopus citations

• Recurrent one-hop predictions for reasoning over knowledge graphs

  Yin, W., Yaghoobzadeh, Y. & Schütze, H., 2018, COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. Bender, E. M., Derczynski, L. & Isabelle, P. (eds.). Association for Computational Linguistics (ACL), p. 2369-2378 10 p. (COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Multi-hop 100%
  • Graph 61%
  • Reasoning 56%
  • Prediction 48%
  • Knowledge 45%
  12 Scopus citations

• Term Definitions Help Hypernymy Detection

  Yin, W. & Roth, D., 2018, NAACL HLT 2018 - Lexical and Computational Semantics, SEM 2018, Proceedings of the 7th Conference. Nissim, M., Berant, J. & Lenci, A. (eds.). Association for Computational Linguistics (ACL), p. 203-213 11 p. (NAACL HLT 2018 - Lexical and Computational Semantics, SEM 2018, Proceedings of the 7th Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Testbeds 100%
  • Animals 99%
  • Statistics 77%
  • Availability 72%
  • sufficient information 46%
  6 Scopus citations

• Twowingos: A two-wing optimization strategy for evidential claim verification

  Yin, W. & Roth, D., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 105-114 10 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Evidence 100%
  • Optimization 91%
  • Strategy 84%
  • Natural language processing systems 36%
  • Training 23%
  48 Scopus citations
• 2017

  Improved neural relation detection for knowledge base question answering

  Yu, M., Yin, W., Hasan, K. S., dos Santos, C., Xiang, B. & Zhou, B., 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics (ACL), p. 571-581 11 p. (ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Natural language processing systems 100%
  • Question Answering 94%
  • Recurrent neural networks 85%
  • Detectors 63%
  • neural network 48%
  228 Scopus citations

• Task-Specific attentive pooling of phrase alignments contributes to sentence matching

  Yin, W. & Schütze, H., 2017, Long Papers - Continued. Association for Computational Linguistics (ACL), p. 699-709 11 p. (15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Alignment 100%
  • Entailment 66%
  • Granularity 26%
  • Classifier 22%
  • learning 13%
  7 Scopus citations
• 2016

  Learning word meta-embeddings

  Yin, W. & Schütze, H., 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), p. 1351-1360 10 p. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; vol. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Word Learning 100%
  • Part-of-speech Tagging 39%
  • Distributed Representation 38%
  • Natural Language Processing (NLP) 34%
  • Vocabulary 29%
  96 Scopus citations

• Simple question answering by attentive convolutional neural network

  Yin, W., Yu, M., Xiang, B., Zhou, B. & Schütze, H., 2016, COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers. Association for Computational Linguistics, ACL Anthology, p. 1746-1756 11 p. (COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Question Answering 100%
  • neural network 83%
  • Predicate 71%
  • Neural Networks 66%
  • Entity 51%
  107 Scopus citations
• 2015

  Convolutional neural network for paraphrase identification

  Yin, W. & Schütze, H., 2015, NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 901-911 11 p. (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • neural network 99%
  • Paraphrase 94%
  • Convolutional neural networks 75%
  • Convolution 41%
  • Logistics 37%
  198 Scopus citations

• Deep markov neural network for sequential data classification

  Yang, M., Tu, W., Yin, W. & Lu, Z., 2015, ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 32-37 6 p. (ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Network components 100%
  • neural network 93%
  • Language Modeling 53%
  • Neural networks 47%
  • Sentiment 36%
  7 Scopus citations

• Discriminative phrase embedding for paraphrase identification

  Yin, W. & Schütze, H., 2015, NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1368-1373 6 p. (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Paraphrase 100%
  • Linguistics 83%
  • Deep learning 78%
  • Performance Art 35%
  • linguistics 28%
  21 Scopus citations

• LCCT: A semi-supervised model for sentiment classification

  Yang, M., Tu, W., Lu, Z., Yin, W. & Chow, K. P., 2015, NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 546-555 10 p. (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Corpus-based 100%
  • Lexicon 76%
  • Sentiment 76%
  • common knowledge 36%
  • Labeled data 32%
  18 Scopus citations

• Multichannel variable-size convolution for sentence classification

  Yin, W. & Schütze, H., 2015, CoNLL 2015 - 19th Conference on Computational Natural Language Learning, Proceedings. Association for Computational Linguistics (ACL), p. 204-214 11 p. (CoNLL 2015 - 19th Conference on Computational Natural Language Learning, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Convolution 100%
  • neural network 60%
  • twitter 50%
  • Network architecture 47%
  • performance 46%
  84 Scopus citations

• MultiGranCNN: An architecture for general matching of text chunks on multiple levels of granularity

  Yin, W. & Schutze, H., 2015, ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 63-73 11 p. (ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep learning 100%
  71 Scopus citations

• Online updating of word representations for part-of-speech tagging

  Yin, W., Schnabel, T. & Schutze, H., 2015, Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 1329-1334 6 p. (Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Tagging 100%
  • Speech 84%
  • Updating 70%
  • Batch 35%
  • Evaluation 11%
  10 Scopus citations

• Optimizing sentence modeling and selection for document summarization

  Yin, W. & Pei, Y., 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 1383-1389 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Redundancy 100%
  • Convolutional neural networks 53%
  • Neural networks 35%
  88 Scopus citations
• 2013

  Community detection in multi-relational social networks

  Wu, Z., Yin, W., Cao, J., Xu, G. & Cuzzocrea, A., 2013, Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2 ed. p. 43-56 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8181 LNCS, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Community Detection 100%
  • Bibliographies 83%
  • Social Networks 79%
  • Community 33%
  • Spectral Clustering 16%
  51 Scopus citations
• 2012

  Automatic multi-document summarization based on new sentence similarity measures

  Yin, W., Pei, Y. & Huang, L., 2012, PRICAI 2012: Trends in Artificial Intelligence - 12th Pacific Rim International Conference on Artificial Intelligence, Proceedings. p. 832-837 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7458 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Multi-document Summarization 100%
  • Similarity Measure 59%
  • Similarity 41%
  • Information Structure 22%
  • Corpus 21%
  4 Scopus citations

• Generic multi-document summarization using topic-oriented information

  Pei, Y., Yin, W. & Huang, L., 2012, PRICAI 2012: Trends in Artificial Intelligence - 12th Pacific Rim International Conference on Artificial Intelligence, Proceedings. p. 435-446 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7458 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Multi-document Summarization 100%
  • PageRank 40%
  • Ranking 19%
  • Model 15%
  • Experimental Results 9%
  8 Scopus citations

• Query-focused multi-document summarization based on query-sensitive feature space

  Yin, W., Pei, Y., Zhang, F. & Huang, L., 2012, CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. p. 1652-1656 5 p. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  6 Scopus citations