Sciweavers

ACL
2015
8 years 23 days ago
Unsupervised Prediction of Acceptability Judgements
In this paper we present the task of unsupervised prediction of speakers’ acceptability judgements. We use a test set generated from the British National Corpus (BNC) containing...
Jey Han Lau, Alexander Clark, Shalom Lappin
ACL
2015
8 years 23 days ago
Emotion Detection in Code-switching Texts via Bilingual and Sentimental Information
Code-switching is commonly used in the free-form text environment, such as social media, and it is especially favored in emotion expressions. Emotions in codeswitching texts diffe...
Zhongqing Wang, Sophia Yat Mei Lee, Shoushan Li, G...
ACL
2015
8 years 23 days ago
User Based Aggregation for Biterm Topic Model
Biterm Topic Model (BTM) is designed to model the generative process of the word co-occurrence patterns in short texts such as tweets. However, two aspects of BTM may restrict its...
Weizheng Chen, Jinpeng Wang, Yan Zhang, Hongfei Ya...
ACL
2015
8 years 23 days ago
Who caught a cold ? - Identifying the subject of a symptom
The development and proliferation of social media services has led to the emergence of new approaches for surveying the population and addressing social issues. One popular applic...
Shin Kanouchi, Mamoru Komachi, Naoaki Okazaki, Eij...
ACL
2015
8 years 23 days ago
Semi-Stacking for Semi-supervised Sentiment Classification
In this paper, we address semi-supervised sentiment learning via semi-stacking, which integrates two or more semi-supervised learning algorithms from an ensemble learning perspect...
Shoushan Li, Lei Huang, Jingjing Wang, Guodong Zho...
ACL
2015
8 years 23 days ago
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
In this paper, the answer selection problem in community question answering (CQA) is regarded as an answer sequence labeling task, and a novel approach is proposed based on the re...
Xiaoqiang Zhou, Baotian Hu, Qingcai Chen, Buzhou T...
ACL
2015
8 years 23 days ago
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach
A standard pipeline for statistical relational learning involves two steps: one first constructs the knowledge base (KB) from text, and then performs the learning and reasoning t...
William Yang Wang, William W. Cohen
ACL
2015
8 years 23 days ago
What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation
Domain adaptation is an active field of research in statistical machine translation (SMT), but so far most work has ignored the distinction between the topic and genre of documen...
Marlies van der Wees, Arianna Bisazza, Wouter Weer...
ACL
2015
8 years 23 days ago
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models
In this paper, we propose the new fixedsize ordinally-forgetting encoding (FOFE) method, which can almost uniquely encode any variable-length sequence of words into a fixed-size...
Shiliang Zhang, Hui Jiang 0001, Mingbin Xu, Junfen...
ACL
2015
8 years 23 days ago
S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking
Non-linear models recently receive a lot of attention as people are starting to discover the power of statistical and embedding features. However, tree-based models are seldom stu...
Yi Yang, Ming-Wei Chang