Papers
Hyperspherical Query Likelihood Models with Word Embeddings
Ryo Masumura, Taichi Asami, Hirokazu Masataki et al.
Taking into account Inter-sentence Similarity for Update Summarization
Maâli Mnasri, Gaël de Chalendar, Olivier Ferret
SSAS: Semantic Similarity for Abstractive Summarization
Raghuram Vadapalli, Litton J Kurisinkel, Manish Gupta et al.
Automatic Text Summarization Using Reinforcement Learning with Embedding Features
Gyoung Ho Lee, Kong Joo Lee
A Statistical Framework for Product Description Generation
Jinpeng Wang, Yutai Hou, Jing Liu et al.
Using Analytic Scoring Rubrics in the Automatic Assessment of College-Level Summary Writing Tasks in L2
Tamara Sladoljev-Agejev, Jan Šnajder
Dialog for Language to Code
Shobhit Chaurasia, Raymond J. Mooney
Diversifying Neural Conversation Model with Maximal Marginal Relevance
Yiping Song, Zhiliang Tian, Dongyan Zhao et al.
Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning
Ta-Chung Chi, Po-Chun Chen, Shang-Yu Su et al.
Can Discourse Relations be Identified Incrementally?
Frances Yung, Hiroshi Noji, Yuji Matsumoto
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews
Wei Xue, Wubai Zhou, Tao Li et al.
Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis
Minglei Li, Qin Lu, Yunfei Long
Natural Language Informs the Interpretation of Iconic Gestures: A Computational Approach
Ting Han, Julian Hough, David Schlangen
Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis
Yuichiroh Matsubayashi, Kentaro Inui
Improving Black-box Speech Recognition using Semantic Parsing
Rodolfo Corona, Jesse Thomason, Raymond Mooney
Injecting Word Embeddings with Another Language’s Resource : An Application of Bilingual Embeddings
Prakhar Pandey, Vikram Pudi, Manish Shrivastava
Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification
Tomoyuki Kajiwara, Atsushi Fujita
Integrating Vision and Language Datasets to Measure Word Concreteness
Gitit Kehat, James Pustejovsky
Segment-Level Neural Conditional Random Fields for Named Entity Recognition
Motoki Sato, Hiroyuki Shindo, Ikuya Yamada et al.
Recall is the Proper Evaluation Metric for Word Segmentation
Yan Shao, Christian Hardmeier, Joakim Nivre
MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network
Yu-Lun Hsieh, Yung-Chun Chang, Yi-Jie Huang et al.
Substring Frequency Features for Segmentation of Japanese Katakana Words with Unlabeled Corpora
Yoshinari Fujinuma, Alvin Grissom II
Learning Kernels over Strings using Gaussian Processes
Daniel Beck, Trevor Cohn