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*SEMEVAL - 2017
Total Papers:- 212
Total Papers accross all years:- 1898
Total Citations :- 502
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LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network
Isabel Segura-Bedmar |
Cristóbal Colón-Ruiz |
Paloma Martínez |
MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications
Sijia Liu |
Feichen Shen |
Vipin Chaudhary |
Hongfang Liu |
WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling
Animesh Prasad |
Min-Yen Kan |
TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers
Tomoki Tsujimura |
Makoto Miwa |
Yutaka Sasaki |
SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation
Gábor Berend |
EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development
Marek Kubis |
Paweł Skórzewski |
Tomasz Ziętkiewicz |
NTU-1 at SemEval-2017 Task 12: Detection and classification of temporal events in clinical data with domain adaptation
Po-Yu Huang |
Hen-Hsen Huang |
Yu-Wun Wang |
Ching Huang |
Hsin-Hsi Chen |
Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network
Sneha Rajana |
Chris Callison-Burch |
Marianna Apidianaki |
Vered Shwartz |
Decoding Sentiment from Distributed Representations of Sentences
Edoardo Maria Ponti |
Ivan Vulić |
Anna Korhonen |
Domain-Specific New Words Detection in Chinese
Ao Chen |
Maosong Sun |
Mapping the Paraphrase Database to WordNet
Anne Cocos |
Marianna Apidianaki |
Chris Callison-Burch |
Semantic Frame Labeling with Target-based Neural Model
Yukun Feng |
Dong Yu |
Jian Xu |
Chunhua Liu |
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles
Francis Ferraro |
Adam Poliak |
Ryan Cotterell |
Benjamin Van Durme |
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible
Abhijeet Gupta |
Gemma Boleda |
Sebastian Padó |
A Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen |
Dat Quoc Nguyen |
Ashutosh Modi |
Stefan Thater |
Manfred Pinkal |
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