Papers
Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task
Libby Barak, Adele E. Goldberg, Suzanne Stevenson
Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics
Douwe Kiela, Anita Lilla Verő, Stephen Clark
Conditional Generation and Snapshot Learning in Neural Dialogue Systems
Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić et al.
Context-Dependent Sense Embedding
Lin Qiu, Kewei Tu, Yong Yu
Context-Sensitive Lexicon Features for Neural Sentiment Analysis
Zhiyang Teng, Duy-Tin Vo, Yue Zhang
Continuous Vector Spaces for Cross-language NLP Applications
Rafael E. Banchs
2016
EMNLP
Controlling Output Length in Neural Encoder-Decoders
Yuta Kikuchi, Graham Neubig, Ryohei Sasano et al.
Convolutional Neural Network Language Models
Ngoc-Quan Pham, German Kruszewski, Gemma Boleda
Coverage Embedding Models for Neural Machine Translation
Haitao Mi, Baskaran Sankaran, Zhiguo Wang et al.
Creating a Large Benchmark for Open Information Extraction
Gabriel Stanovsky, Ido Dagan
Creating Causal Embeddings for Question Answering with Minimal Supervision
Rebecca Sharp, Mihai Surdeanu, Peter Jansen et al.
Cross Sentence Inference for Process Knowledge
Samuel Louvan, Chetan Naik, Sadhana Kumaravel et al.
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
William L. Hamilton, Jure Leskovec, Dan Jurafsky
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data
Zhen Hai, Peilin Zhao, Peng Cheng et al.
De-Conflated Semantic Representations
Mohammad Taher Pilehvar, Nigel Collier
Deep Multi-Task Learning with Shared Memory for Text Classification
Pengfei Liu, Xipeng Qiu, Xuanjing Huang
Deep Neural Networks with Massive Learned Knowledge
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov et al.
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter et al.
Deep Reinforcement Learning for Mention-Ranking Coreference Models
Kevin Clark, Christopher D. Manning
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads
Ji He, Mari Ostendorf, Xiaodong He et al.
Demographic Dialectal Variation in Social Media: A Case Study of African-American English
Su Lin Blodgett, Lisa Green, Brendan O’Connor
Detecting and Characterizing Events
Allison Chaney, Hanna Wallach, Matthew Connelly et al.
Discourse Parsing with Attention-based Hierarchical Neural Networks
Qi Li, Tianshi Li, Baobao Chang
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong et al.
Distinguishing Past, On-going, and Future Events: The EventStatus Corpus
Ruihong Huang, Ignacio Cases, Dan Jurafsky et al.