EM-RITE 2016 - 5th IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2016)

Textual Entailment and Paraphrase are inference tasks of natural language processing (NLP) for automatically detecting entailment, paraphrase, and contradiction in texts. The aim of this workshop is to provide a forum for original high-quality research contributions on empirical methods for recognizing inference in text as well as multidisciplinary research opportunities.
Topics of interest include but are not limited to practical areas that span a variety of aspects of empirical methods for recognizing inference in text including:
Guidelines, standards, best practices and models for the construction and annotation of Textual Entailment datasets
Evaluation of Knowledge Resources for Textual Entailment
Recognizing Inference in Text
Recognizing Inference in Text and Validation
Recognizing Textual Entailment
Fact Validation
System Validation
Question Answering
Question Analysis
Answer Extraction
Answer Selection
Answer Validation
Question Answering over Linked Data
Biomedical Semantic Indexing and Question Answering
Entrance Exams
Machine Reading
Reading Comprehension Tests
Knowledge Base Population
Information Retrieval
Information Extraction
Text Summarization
Text Mining
Web Mining
Natural Language Processing Applications
Sentiment Analysis
Opinion Mining
Social Computing
Social Media Mining