Accepted Papers
The Repl4NLP proceedings can be found in the ACL Anthology.
Best Papers
Kawin Ethayarajh. Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline. [PDF] [Poster] [Slides] [Screencast]
Ahmet Üstün, Murathan Kurfalı and Burcu Can. Characters or Morphemes: How to Represent Words? [PDF]
Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan and Noah A. Smith. LSTMs Exploit Linguistic Attributes of Data. [PDF]
Best Paper Runner-Ups
Yanrong Wu and Zhichun Wang. Knowledge Graph Embedding with Numeric Attributes of Entities. [PDF]
Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-Yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-hsuan Sung, Brian Strope and Ray Kurzweil. Learning Semantic Textual Similarity from Conversations. [PDF]
All Papers
Edgar Altszyler, Mariano Sigman and Diego Fernandez Slezak. Corpus specificity in LSA and Word2vec: the role of out-of-domain documents. [PDF]
Shang Gao, Arvind Ramanathan and Georgia Tourassi. Hierarchical Convolutional Attention Networks for Text Classification. [PDF]
Hwiyeol Jo and Stanley Jungkyu Choi. Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons. [PDF]
Dennis Singh Moirangthem and Minho Lee. Chat Discrimination for Intelligent Conversational Agents with a Hybrid CNN-LMTGRU Network. [PDF]
Amr Rekaby Salama, Özge Alacam and Wolfgang Menzel. Text Completion using Context-Integrated Dependency Parsing. [PDF]
Qiuchi Li, Sagar Uprety, Benyou Wang and Dawei Song. Quantum-inspired Complex Word Embedding. [PDF]
Kosuke Nishida, Kyosuke Nishida, Hisako Asano and Junji Tomita. Natural Language Inference with Definition Embedding Considering Context On the Fly. [PDF]
Sanjeev Arora, Mikhail Khodak, Nikunj Saunshi and Kiran Vodrahalli. A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs. [PDF]
Lidia Pivovarova and Roman Yangarber. Comparison of Representations of Named Entities for Document Classification. [PDF]
Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang and Virginia de Sa. Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding. [PDF]
Gil Levi. Connecting Supervised and Unsupervised Sentence Embeddings. [PDF]
Wenfan Chen and Weiguo Sheng. A Hybrid Learning Scheme for Word Embedding. [PDF]
Kawin Ethayarajh. Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline. [PDF]
Yadollah Yaghoobzadeh, Katharina Kann and Hinrich Schütze. Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing. [PDF]
Ade Romadhony, Alfan Farizki Wicaksono, Ayu Purwarianti and Dwi Hendratmo Widyantoro. A Dense Vector Representation for Open-Domain Relation Tuples. [PDF]
Jilei Wang, Shiying Luo, Weiyan Shi, Tao Dai and Shu-Tao Xia. Exploiting Common Characters in Chinese and Japanese to Learn Cross-lingual Word Embeddings via Matrix Factorization. [PDF]
Chakaveh Saedi, António Branco, João António Rodrigues and João Silva. WordNet Embeddings. [PDF]
Yanrong Wu and Zhichun Wang. Knowledge Graph Embedding with Numeric Attributes of Entities. [PDF]
Ivan Vulić and Anna Korhonen. Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation. [PDF]
Ahmet Üstün, Murathan Kurfalı and Burcu Can. Characters or Morphemes: How to Represent Words? [PDF]
Athul Paul Jacob, Zhouhan Lin, Alessandro Sordoni and Yoshua Bengio. Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences. [PDF]
Mareike Hartmann and Anders Søgaard. Limitations of cross-lingual learning from image search. [PDF]
Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-Yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-hsuan Sung, Brian Strope and Ray Kurzweil. Learning Semantic Textual Similarity from Conversations. [PDF]
Katherine Yu, Haoran Li and Barlas Oguz. Multilingual seq2seq training with similarity loss for cross-lingual document classification. [PDF]
Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan and Noah A. Smith. LSTMs Exploit Linguistic Attributes of Data. [PDF]
Samuel Broscheit. Learning Distributional Token Representations from Visual Features. [PDF]
Denis Newman-Griffis, Albert M. Lai and Eric Fosler-Lussier. Jointly Embedding Entities and Text with Distant Supervision. [PDF]
Angel Daza and Anette Frank. A Sequence-to-Sequence Model for Semantic Role Labeling. [PDF]
Nikola Ljubešić, Darja Fišer and Anita Peti-Stantić. Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings. [PDF]