ACL.2016 - Student Research Workshop

#1 Controlled and Balanced Dataset for Japanese Lexical Simplification

#2 Dependency Forest based Word Alignment

#3 Identifying Potential Adverse Drug Events in Tweets Using Bootstrapped Lexicons

#4 Generating Natural Language Descriptions for Semantic Representations of Human Brain Activity

#5 Improving Twitter Community Detection through Contextual Sentiment Analysis

#6 Significance of an Accurate Sandhi-Splitter in Shallow Parsing of Dravidian Languages

#7 Improving Topic Model Clustering of Newspaper Comments for Summarisation

#8 Arabizi Identification in Twitter Data

#9 Robust Co-occurrence Quantification for Lexical Distributional Semantics

#10 Singleton Detection using Word Embeddings and Neural Networks

#11 A Dataset for Joint Noun-Noun Compound Bracketing and Interpretation

#12 An Investigation on The Effectiveness of Employing Topic Modeling Techniques to Provide Topic Awareness For Conversational Agents

#13 Improving Dependency Parsing Using Sentence Clause Charts

#14 Graph- and surface-level sentence chunking

#15 From Extractive to Abstractive Summarization: A Journey

#16 Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations

#17 Unsupervised Authorial Clustering Based on Syntactic Structure

#18 Suggestion Mining from Opinionated Text

#19 An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network

#20 QA-It: Classifying Non-Referential It for Question Answer Pairs

#21 Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes

#22 A Personalized Markov Clustering and Deep Learning Approach for Arabic Text Categorization