Papers
Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training
Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens
A Unified Architecture for Semantic Role Labeling and Relation Classification
Jiang Guo, Wanxiang Che, Haifeng Wang et al.
Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention
Minguang Xiao, Cong Liu
Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification
Chaya Liebeskind, Yaakov HaCohen-Kerner
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF
Yang Xiang, Xiaoqiang Zhou, Qingcai Chen et al.
High Accuracy Rule-based Question Classification using Question Syntax and Semantics
Harish Tayyar Madabushi, Mark Lee
LILI: A Simple Language Independent Approach for Language Identification
Mohamed Al-Badrashiny, Mona Diab
Leveraging Multilingual Training for Limited Resource Event Extraction
Andrew Hsi, Yiming Yang, Jaime Carbonell et al.
Extraction of Keywords of Novelties From Patent Claims
Shoko Suzuki, Hiromichi Takatsuka
Semantic overfitting: what ‘world’ do we consider when evaluating disambiguation of text?
Filip Ilievski, Marten Postma, Piek Vossen
Broad Twitter Corpus: A Diverse Named Entity Recognition Resource
Leon Derczynski, Kalina Bontcheva, Ian Roberts
Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?
Christophe Servan, Alexandre Bérard, Zied Elloumi et al.
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings
Tomoyuki Kajiwara, Mamoru Komachi
Evaluation Strategies for Computational Construction Grammars
Tânia Marques, Katrien Beuls
Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts
Jun Araki, Dheeraj Rajagopal, Sreecharan Sankaranarayanan et al.
Product Review Summarization by Exploiting Phrase Properties
Naitong Yu, Minlie Huang, Yuanyuan Shi et al.
Imitation learning for language generation from unaligned data
Gerasimos Lampouras, Andreas Vlachos
A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature
Suchet Chachra, Asma Ben Abacha, Sonya Shooshan et al.
Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge
Raghav Goyal, Marc Dymetman, Eric Gaussier
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization
Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz
Predicting sentential semantic compatibility for aggregation in text-to-text generation
Victor Chenal, Jackie Chi Kit Cheung
Chinese Poetry Generation with Planning based Neural Network
Zhe Wang, Wei He, Hua Wu et al.
Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources
Darina Benikova, Margot Mieskes, Christian M. Meyer et al.
Exploring Differential Topic Models for Comparative Summarization of Scientific Papers
Lei He, Wei Li, Hai Zhuge