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EACL - 2017
Total Papers:- 290
Total Papers accross all years:- 2768
Total Citations :- 1405
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A Two-stage Sieve Approach for Quote Attribution
Grace Muzny |
Michael Fang |
Angel Chang |
Dan Jurafsky |
TDParse: Multi-target-specific sentiment recognition on Twitter
Bo Wang |
Maria Liakata |
Arkaitz Zubiaga |
Rob Procter |
Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems
Shyam Upadhyay |
Ming-Wei Chang |
Unsupervised AMR-Dependency Parse Alignment
Wei-Te Chen |
Martha Palmer |
Generating flexible proper name references in text: Data, models and evaluation
Thiago Castro Ferreira |
Emiel Krahmer |
Sander Wubben |
Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing
Minh Lê |
Antske Fokkens |
Noisy-context surprisal as a human sentence processing cost model
Richard Futrell |
Roger Levy |
A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts
Fei Liu |
Julien Perez |
Scott Nowson |
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
Abhishek Abhishek |
Ashish Anand |
Amit Awekar |
Metaheuristic Approaches to Lexical Substitution and Simplification
Sallam Abualhaija |
Tristan Miller |
Judith Eckle-Kohler |
Iryna Gurevych |
Karl-Heinz Zimmermann |
Cross-Lingual Word Embeddings for Low-Resource Language Modeling
Oliver Adams |
Adam Makarucha |
Graham Neubig |
Steven Bird |
Trevor Cohn |
Distributed Document and Phrase Co-embeddings for Descriptive Clustering
Motoki Sato |
Austin J. Brockmeier |
Georgios Kontonatsios |
Tingting Mu |
John Y. Goulermas |
Jun’ichi Tsujii |
Sophia Ananiadou |
Decoding with Finite-State Transducers on GPUs
Arturo Argueta |
David Chiang |
Grouping business news stories based on salience of named entities
Llorenç Escoter |
Lidia Pivovarova |
Mian Du |
Anisia Katinskaia |
Roman Yangarber |
Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing
Ryosuke Kohita |
Hiroshi Noji |
Yuji Matsumoto |
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