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2020 – today
- 2020
[c99]Kazuki Matsumaru, Sho Takase, Naoaki Okazaki:
Improving Truthfulness of Headline Generation. ACL 2020: 1335-1346- [c98]Emanuele Bugliarello, Naoaki Okazaki:
Enhancing Machine Translation with Dependency-Aware Self-Attention. ACL 2020: 1618-1627 - [c97]Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki:
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. ACL 2020: 1640-1649 - [c96]Zhishen Yang, Naoaki Okazaki:
Image Caption Generation for News Articles. COLING 2020: 1941-1951 - [c95]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Optimizing Word Segmentation for Downstream Task. EMNLP (Findings) 2020: 1341-1351 - [c94]Sangwhan Moon, Naoaki Okazaki:
PatchBERT: Just-in-Time, Out-of-Vocabulary Patching. EMNLP (1) 2020: 7846-7852 - [c93]Shin Kanouchi, Masato Neishi, Yuta Hayashibe, Hiroki Ouchi, Naoaki Okazaki:
You May Like This Hotel Because ...: Identifying Evidence for Explainable Recommendations. AACL/IJCNLP 2020: 890-899 - [c92]Sangwhan Moon, Naoaki Okazaki:
Jamo Pair Encoding: Subcharacter Representation-based Extreme Korean Vocabulary Compression for Efficient Subword Tokenization. LREC 2020: 3490-3497 - [c91]Sho Shimazu, Sho Takase, Toshiaki Nakazawa, Naoaki Okazaki:
Evaluation Dataset for Zero Pronoun in Japanese to English Translation. LREC 2020: 3630-3634 - [c90]Wiem Ben Rim, Naoaki Okazaki:
SWAGex at SemEval-2020 Task 4: Commonsense Explanation as Next Event Prediction. SemEval@COLING 2020: 422-429 - [c89]Zhishen Yang, Lars Wolfsteller, Naoaki Okazaki:
TextLearner at SemEval-2020 Task 10: A Contextualized Ranking System in Solving Emphasis Selection in Text. SemEval@COLING 2020: 1691-1697 - [e1]Maki Sakamoto, Naoaki Okazaki, Koji Mineshima, Ken Satoh:
New Frontiers in Artificial Intelligence - JSAI-isAI International Workshops, JURISIN, AI-Biz, LENLS, Kansei-AI, Yokohama, Japan, November 10-12, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12331, Springer 2020, ISBN 978-3-030-58789-5 [contents] - [i17]Kazuki Matsumaru, Sho Takase, Naoaki Okazaki:
Improving Truthfulness of Headline Generation. CoRR abs/2005.00882 (2020) - [i16]Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki:
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. CoRR abs/2005.02354 (2020) - [i15]Tosho Hirasawa, Zhishen Yang, Mamoru Komachi, Naoaki Okazaki:
Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020. CoRR abs/2006.12799 (2020) - [i14]Sho Takase, Naoaki Okazaki:
Multi-Task Learning for Cross-Lingual Abstractive Summarization. CoRR abs/2010.07503 (2020) - [i13]Youmi Ma, Tatsuya Hiraoka, Naoaki Okazaki:
Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations. CoRR abs/2010.07522 (2020) - [i12]Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, Desmond Elliott:
Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs. CoRR abs/2011.15124 (2020)
2010 – 2019
- 2019
- [j21]Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Stance Detection Attending External Knowledge from Wikipedia. J. Inf. Process. 27: 499-506 (2019) - [c88]Hayate Iso
, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura:
Learning to Select, Track, and Generate for Data-to-Text. ACL (1) 2019: 2102-2113 - [c87]Sakae Mizuki, Naoaki Okazaki:
Analyzing the Variation Property of Contextualized Word Representations. Australasian Conference on Artificial Intelligence 2019: 393-405 - [c86]Yuichi Sasazawa, Sho Takase, Naoaki Okazaki:
Neural Question Generation using Interrogative Phrases. INLG 2019: 106-111 - [c85]Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura:
A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation. INLG 2019: 333-343 - [c84]Sho Takase, Naoaki Okazaki:
Positional Encoding to Control Output Sequence Length. NAACL-HLT (1) 2019: 3999-4004 - [c83]Zhishen Yang, Sam Vijlbrief, Naoaki Okazaki:
TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection. SemEval@NAACL-HLT 2019: 350-354 - [i11]Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura:
A Large-Scale Multi-Length Headline Corpus for Improving Length-Constrained Headline Generation Model Evaluation. CoRR abs/1903.11771 (2019) - [i10]Sho Takase, Naoaki Okazaki:
Positional Encoding to Control Output Sequence Length. CoRR abs/1904.07418 (2019) - [i9]Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura:
Learning to Select, Track, and Generate for Data-to-Text. CoRR abs/1907.09699 (2019) - [i8]Emanuele Bugliarello, Naoaki Okazaki:
Improving Neural Machine Translation with Parent-Scaled Self-Attention. CoRR abs/1909.03149 (2019) - 2018
- [j20]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles. IEICE Trans. Inf. Syst. 101-D(1): 73-81 (2018) - [c82]Diana Galvan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui:
Investigating the Challenges of Temporal Relation Extraction from Clinical Text. Louhi@EMNLP 2018: 55-64 - [c81]Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Predicting Stances from Social Media Posts using Factorization Machines. COLING 2018: 3381-3390 - [c80]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. BlackboxNLP@EMNLP 2018: 74-81 - [c79]Natsuda Laokulrat, Naoaki Okazaki, Hideki Nakayama:
Incorporating Semantic Attention in Video Description Generation. LREC 2018 - [c78]Diep Thi Ngoc Nguyen, Hideki Nakayama, Naoaki Okazaki, Tatsuya Sakaeda:
PoB: Toward Reasoning Patterns of Beauty in Image Data. ACM Multimedia 2018: 1786-1793 - [c77]Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki, Kentaro Inui:
Multi-dialect Neural Machine Translation and Dialectometry. PACLIC 2018 - [c76]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Reducing Odd Generation from Neural Headline Generation. PACLIC 2018 - 2017
- [j19]Koji Matsuda, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Geographical Entity Annotated Corpus of Japanese Microblogs. J. Inf. Process. 25: 121-130 (2017) - [j18]Shuangshuang Zhou, Naoaki Okazaki, Koji Matsuda, Ran Tian, Kentaro Inui:
Supervised Approaches for Japanese Wikification. J. Inf. Process. 25: 341-350 (2017) - [j17]Ran Tian, Naoaki Okazaki, Kentaro Inui:
The mechanism of additive composition. Mach. Learn. 106(7): 1083-1130 (2017) - [c75]Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. ACL (1) 2017: 398-408 - [c74]Koji Matsuda, Mizuki Sango, Naoaki Okazaki, Kentaro Inui:
Monitoring Geographical Entities with Temporal Awareness in Tweets. CICLing (2) 2017: 379-390 - [c73]Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, Kentaro Inui:
Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment. NLPmJ@EMNLP 2017: 46-50 - [c72]Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui:
Learning Co-Substructures by Kernel Dependence Maximization. IJCAI 2017: 3329-3335 - [c71]Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki, Kentaro Inui:
Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction. IJCNLP(2) 2017: 436-441 - [c70]Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui:
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. IJCNLP(1) 2017: 473-483 - [c69]Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
Handling Multiword Expressions in Causality Estimation. IWCS(2) 2017 - [c68]Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia. PACLIC 2017: 336-345 - [i7]Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. CoRR abs/1704.07986 (2017) - [i6]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Composing Distributed Representations of Relational Patterns. CoRR abs/1707.07265 (2017) - [i5]Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui:
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. CoRR abs/1709.01679 (2017) - [i4]Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations. CoRR abs/1712.02480 (2017) - [i3]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Source-side Prediction for Neural Headline Generation. CoRR abs/1712.08302 (2017) - 2016
- [j16]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Modeling semantic compositionality of relational patterns. Eng. Appl. Artif. Intell. 50: 256-264 (2016) - [c67]Takuya Yashima, Naoaki Okazaki, Kentaro Inui, Kota Yamaguchi, Takayuki Okatani:
Learning to Describe E-Commerce Images from Noisy Online Data. ACCV (5) 2016: 85-100 - [c66]Davaajav Jargalsaikhan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui:
Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes. ACL (Student Research Workshop) 2016: 138-144 - [c65]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Composing Distributed Representations of Relational Patterns. ACL (1) 2016 - [c64]Ran Tian, Naoaki Okazaki, Kentaro Inui:
Learning Semantically and Additively Compositional Distributional Representations. ACL (1) 2016 - [c63]Natsuda Laokulrat, Sang Phan, Noriki Nishida, Raphael Shu, Yo Ehara, Naoaki Okazaki, Yusuke Miyao, Hideki Nakayama:
Generating Video Description using Sequence-to-sequence Model with Temporal Attention. COLING 2016: 44-52 - [c62]Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan B. L. Smith, Masataka Goto:
Modeling Discourse Segments in Lyrics Using Repeated Patterns. COLING 2016: 1959-1969 - [c61]Naoya Inoue, Yuichiroh Matsubayashi, Masayuki Ono, Naoaki Okazaki, Kentaro Inui:
Modeling Context-sensitive Selectional Preference with Distributed Representations. COLING 2016: 2829-2838 - [c60]Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata:
Neural Headline Generation on Abstract Meaning Representation. EMNLP 2016: 1054-1059 - [c59]Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui:
Dynamic Entity Representation with Max-pooling Improves Machine Reading. HLT-NAACL 2016: 850-855 - [c58]Masayasu Muraoka, Sumit Maharjan, Masaki Saito, Kota Yamaguchi, Naoaki Okazaki, Takayuki Okatani, Kentaro Inui:
Recognizing Open-Vocabulary Relations between Objects in Images. PACLIC 2016 - [c57]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types. PACLIC 2016 - [c56]Mei Uemura, Naho Orita, Naoaki Okazaki, Kentaro Inui:
Toward the automatic extraction of knowledge of usable goods. PACLIC 2016 - [c55]Yuki Igarashi, Hiroya Komatsu, Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui:
Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection. SemEval@NAACL-HLT 2016: 401-407 - [c54]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
Fine-Grained Named Entity Classification with Wikipedia Article Vectors. WI 2016: 483-486 - [c53]Akira Sasaki, Junta Mizuno, Naoaki Okazaki, Kentaro Inui:
Stance Classification by Recognizing Related Events about Targets. WI 2016: 582-587 - [i2]Ran Tian, Naoaki Okazaki, Kentaro Inui:
Learning Semantically and Additively Compositional Distributional Representations. CoRR abs/1606.02461 (2016) - 2015
- [c52]Yoshiaki Kitagawa, Mamoru Komachi, Eiji Aramaki, Naoaki Okazaki, Hiroshi Ishikawa:
Disease Event Detection based on Deep Modality Analysis. ACL (Student Research Workshop) 2015: 28-34 - [c51]Shin Kanouchi, Mamoru Komachi, Naoaki Okazaki, Eiji Aramaki, Hiroshi Ishikawa:
Who caught a cold ? - Identifying the subject of a symptom. ACL (1) 2015: 1660-1670 - [c50]Koji Matsuda, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Annotating Geographical Entities on Microblog Text. LAW@NAACL-HLT 2015: 85-94 - [c49]Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
A Computational Approach for Generating Toulmin Model Argumentation. ArgMining@HLT-NAACL 2015: 45-55 - [c48]Hiroya Komatsu, Ran Tian, Naoaki Okazaki, Kentaro Inui:
Reducing Lexical Features in Parsing by Word Embeddings. PACLIC 2015 - [c47]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Fast and Large-scale Unsupervised Relation Extraction. PACLIC 2015 - [i1]Ran Tian, Naoaki Okazaki, Kentaro Inui:
The Mechanism of Additive Composition. CoRR abs/1511.08407 (2015) - 2014
- [j15]Shuangshuang Zhou, Canasai Kruengkrai, Naoaki Okazaki, Kentaro Inui:
Exploring Linguistic Features for Named Entity Disambiguation. Int. J. Comput. Linguistics Appl. 5(2): 49-66 (2014) - [c46]Paul Reisert, Junta Mizuno, Miwa Kanno, Naoaki Okazaki, Kentaro Inui:
A Corpus Study for Identifying Evidence on Microblogs. LAW@COLING 2014: 70-74 - [c45]Keita Nabeshima, Junta Mizuno, Naoaki Okazaki, Kentaro Inui:
Mining False Information on Twitter for a Major Disaster Situation. AMT 2014: 96-109 - [c44]Masayasu Muraoka, Sonse Shimaoka, Kazeto Yamamoto, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui:
Finding The Best Model Among Representative Compositional Models. PACLIC 2014: 65-74 - 2013
- [j14]Han-Cheol Cho, Naoaki Okazaki, Makoto Miwa, Jun'ichi Tsujii:
Named entity recognition with multiple segment representations. Inf. Process. Manag. 49(4): 954-965 (2013) - [j13]Xu Sun, Naoaki Okazaki, Jun'ichi Tsujii, Houfeng Wang:
Learning Abbreviations from Chinese and English Terms by Modeling Non-Local Information. ACM Trans. Asian Lang. Inf. Process. 12(2): 5:1-5:17 (2013) - [c43]Sho Takase, Akiko Murakami, Miki Enoki, Naoaki Okazaki, Kentaro Inui:
Detecting Chronic Critics Based on Sentiment Polarity and User's Behavior in Social Media. ACL (Student Research Workshop) 2013: 110-116 - [c42]Katsuma Narisawa, Yotaro Watanabe, Junta Mizuno, Naoaki Okazaki, Kentaro Inui:
Is a 204 cm Man Tall or Small ? Acquisition of Numerical Common Sense from the Web. ACL (1) 2013: 382-391 - [c41]Kazeto Yamamoto, Naoya Inoue, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui:
Discriminative Learning of First-Order Weighted Abduction from Partial Discourse Explanations. CICLing (1) 2013: 545-558 - [c40]Jiro Umezawa, Junta Mizuno, Naoaki Okazaki, Kentaro Inui:
Evidence in Automatic Error Correction Improves Learners' English Skill. CICLing (2) 2013: 559-571 - [c39]Naoaki Okazaki, Keita Nabeshima, Kento Watanabe, Junta Mizuno, Kentaro Inui:
Extracting and Aggregating False Information from Microblogs. LPCI@IJCNLP 2013: 36-43 - [c38]Han-Cheol Cho, Naoaki Okazaki, Kentaro Inui:
Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition. PAKDD (1) 2013: 378-389 - [p1]Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization. Multi-source, Multilingual Information Extraction and Summarization 2013: 253-276 - 2012
- [j12]Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A preference learning approach to sentence ordering for multi-document summarization. Inf. Sci. 217: 78-95 (2012) - [j11]Yotaro Watanabe, Junta Mizuno, Eric Nichols, Katsuma Narisawa, Keita Nabeshima, Naoaki Okazaki, Kentaro Inui:
Leveraging Diverse Lexical Resources for Textual Entailment Recognition. ACM Trans. Asian Lang. Inf. Process. 11(4): 18:1-18:22 (2012) - [c37]Shohei Tanaka, Naoaki Okazaki, Mitsuru Ishizuka:
Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions. COLING (Posters) 2012: 1209-1218 - [c36]Yotaro Watanabe, Junta Mizuno, Eric Nichols, Naoaki Okazaki, Kentaro Inui:
A Latent Discriminative Model for Compositional Entailment Relation Recognition using Natural Logic. COLING 2012: 2805-2820 - [c35]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Set Expansion using Sibling Relations between Semantic Categories. PACLIC 2012: 525-534 - 2011
- [j10]Zhiyong Lu, Hung-Yu Kao, Chih-Hsuan Wei, Minlie Huang, Jingchen Liu, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hong-Jie Dai, Naoaki Okazaki, Han-Cheol Cho, Martin Gerner, Illés Solt, Shashank Agarwal, Feifan Liu, Dina Vishnyakova, Patrick Ruch, Martin Romacker, Fabio Rinaldi, Sanmitra Bhattacharya, Padmini Srinivasan, Hongfang Liu, Manabu Torii, Sérgio Matos, David Campos, Karin Verspoor, Kevin M. Livingston, W. John Wilbur:
The gene normalization task in BioCreative III. BMC Bioinform. 12(S-8): S2 (2011) - [j9]Cecilia N. Arighi, Phoebe M. Roberts, Shashank Agarwal, Sanmitra Bhattacharya, Gianni Cesareni, Andrew Chatr-aryamontri, Simon Clematide, Pascale Gaudet, Michelle G. Giglio, Ian Harrow, Eva Huala, Martin Krallinger, Ulf Leser, Donghui Li, Feifan Liu, Zhiyong Lu, Lois J. Maltais, Naoaki Okazaki, Livia Perfetto, Fabio Rinaldi, Rune Sætre, David Salgado, Padmini Srinivasan, Philippe E. Thomas, Luca Toldo, Lynette Hirschman, Cathy H. Wu:
BioCreative III interactive task: an overview. BMC Bioinform. 12(S-8): S4 (2011) - [c34]Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki:
Fast Newton-CG Method for Batch Learning of Conditional Random Fields. AAAI 2011 - [c33]Yu Usami, Han-Cheol Cho, Naoaki Okazaki, Jun'ichi Tsujii:
Automatic Acquisition of Huge Training Data for Bio-Medical Named Entity Recognition. BioNLP@ACL 2011: 65-73 - 2010
- [j8]Naoaki Okazaki, Sophia Ananiadou, Jun'ichi Tsujii:
Building a high-quality sense inventory for improved abbreviation disambiguation. Bioinform. 26(9): 1246-1253 (2010) - [j7]Tomoko Ohta, Takuya Matsuzaki, Naoaki Okazaki, Makoto Miwa, Rune Sætre, Sampo Pyysalo, Jun'ichi Tsujii:
Medie and Info-pubmed: 2010 update. BMC Bioinform. 11(S-5): P7 (2010) - [j6]Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A bottom-up approach to sentence ordering for multi-document summarization. Inf. Process. Manag. 46(1): 89-109 (2010) - [c32]Naoaki Okazaki, Jun'ichi Tsujii:
Simple and Efficient Algorithm for Approximate Dictionary Matching. COLING 2010: 851-859 - [c31]Shohei Tanaka, Naoaki Okazaki, Mitsuru Ishizuka:
Learning Web Query Patterns for Imitating Wikipedia Articles. COLING (Posters) 2010: 1229-1237
2000 – 2009
- 2009
- [j5]Takashi Tsunakawa, Naoaki Okazaki, Xiao Liu, Jun'ichi Tsujii:
A Chinese-Japanese Lexical Machine Translation through a Pivot Language. ACM Trans. Asian Lang. Inf. Process. 8(2): 9:1-9:21 (2009) - [c30]Yuichiroh Matsubayashi, Naoaki Okazaki, Jun'ichi Tsujii:
A Comparative Study on Generalization of Semantic Roles in FrameNet. ACL/IJCNLP 2009: 19-27 - [c29]Xu Sun, Naoaki Okazaki, Jun'ichi Tsujii:
Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information. ACL/IJCNLP 2009: 905-913 - [c28]Yulan Yan, Naoaki Okazaki, Yutaka Matsuo, Zhenglu Yang, Mitsuru Ishizuka:
Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web. ACL/IJCNLP 2009: 1021-1029 - [c27]Takeshi S. Kobayakawa, Tadashi Kumano, Hideki Tanaka, Naoaki Okazaki, Jin-Dong Kim, Jun'ichi Tsujii:
Opinion classification with tree kernel SVM using linguistic modality analysis. CIKM 2009: 1791-1794 - [c26]Xianchao Wu, Takuya Matsuzaki, Naoaki Okazaki, Yusuke Miyao, Jun'ichi Tsujii:
The UOT system: improve string-to-tree translation using head-driven phrase structure grammar and predicate-argument structures. IWSLT 2009: 99-106 - [c25]Xianchao Wu, Naoaki Okazaki, Jun'ichi Tsujii:
Semi-Supervised Lexicon Mining from Parenthetical Expressions in Monolingual Web Pages. HLT-NAACL 2009: 424-432 - 2008
- [c24]Takashi Tsunakawa, Naoaki Okazaki, Jun'ichi Tsujii:
Building a Bilingual Lexicon Using Phrase-based Statistical Machine Translation via a Pivot Language. COLING (Posters) 2008: 127-130 - [c23]Naoaki Okazaki, Sophia Ananiadou, Jun'ichi Tsujii:
A Discriminative Alignment Model for Abbreviation Recognition. COLING 2008: 657-664 - [c22]Naoaki Okazaki, Yoshimasa Tsuruoka, Sophia Ananiadou, Jun'ichi Tsujii:
A Discriminative Candidate Generator for String Transformations. EMNLP 2008: 447-456 - [c21]Kenji Hirohata, Naoaki Okazaki, Sophia Ananiadou, Mitsuru Ishizuka:
Identifying Sections in Scientific Abstracts using Conditional Random Fields. IJCNLP 2008: 381-388 - [c20]Naoaki Okazaki, Mitsuru Ishizuka, Jun'ichi Tsujii:
A Discriminative Approach to Japanese Abbreviation Extraction. IJCNLP 2008: 889-894 - [c19]Rune Sætre, Brian Kemper, Kanae Oda, Naoaki Okazaki, Yukiko Matsuoka, Norihiro Kikuchi, Hiroaki Kitano, Yoshimasa Tsuruoka, Sophia Ananiadou, Jun'ichi Tsujii:
Connecting Text Mining and Pathways using the PathText Resource. LREC 2008 - [c18]Takashi Tsunakawa, Naoaki Okazaki, Jun'ichi Tsujii:
Building Bilingual Lexicons using Lexical Translation Probabilities via Pivot Languages. LREC 2008 - [c17]Chikashi Nobata, Philip Cotter, Naoaki Okazaki, Brian Rea, Yutaka Sasaki, Yoshimasa Tsuruoka, Jun'ichi Tsujii, Sophia Ananiadou:
Kleio: a knowledge-enriched information retrieval system for biology. SIGIR 2008: 787-788 - 2007
- [c16]Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yoshiyuki Nakamura, Takuichi Nishimura, Kôiti Hasida, Hideyuki Nakashima:
Inferring Long-term User Properties Based on Users' Location History. IJCAI 2007: 2159-2165 - 2006
- [j4]Naoaki Okazaki, Sophia Ananiadou:
Building an abbreviation dictionary using a term recognition approach. Bioinform. 22(24): 3089-3095 (2006) - [c15]Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization. ACL 2006 - [c14]Naoaki Okazaki, Sophia Ananiadou:
A Term Recognition Approach to Acronym Recognition. ACL 2006 - [c13]