71 citations · 184 across the 23 of their papers we have counts for
9 papers · 1 filter
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding
Ben Zhou, Daniel Khashabi, Qiang Ning +1
Understanding time is crucial for understanding events expressed in natural language. Because people rarely say the obvious, it is often necessary to have commonsense knowledge abo…
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
Rujun Han, Qiang Ning, Nanyun Peng
We propose a joint event and temporal relation extraction model with shared representation learning and structured prediction. The proposed method has two advantages over existing…
An Improved Neural Baseline for Temporal Relation Extraction
Qiang Ning, Sanjay Subramanian, Dan Roth
Determining temporal relations (e.g., before or after) between events has been a challenging natural language understanding task, partly due to the difficulty to generate large amo…
QuASE: Question-Answer Driven Sentence Encoding
Hangfeng He, Qiang Ning, Dan Roth
Question-answering (QA) data often encodes essential information in many facets. This paper studies a natural question: Can we get supervision from QA data for other tasks (typical…
A Structured Learning Approach to Temporal Relation Extraction
Qiang Ning, Zhili Feng, Dan Roth
Identifying temporal relations between events is an essential step towards natural language understanding. However, the temporal relation between two events in a story depends on,…
Joint Reasoning for Temporal and Causal Relations
Qiang Ning, Zhili Feng, Hao Wu +1
Understanding temporal and causal relations between events is a fundamental natural language understanding task. Because a cause must be before its effect in time, temporal and cau…
CogCompTime: A Tool for Understanding Time in Natural Language Text
Qiang Ning, Ben Zhou, Zhili Feng +2
Automatic extraction of temporal information in text is an important component of natural language understanding. It involves two basic tasks: (1) Understanding time expressions th…
Partial Or Complete, That's The Question
Qiang Ning, Hangfeng He, Chuchu Fan +1
For many structured learning tasks, the data annotation process is complex and costly. Existing annotation schemes usually aim at acquiring completely annotated structures, under t…
An information theoretic model for summarization, and some basic results
Eric Graves, Qiang Ning, Prithwish Basu
A basic information theoretic model for summarization is formulated. Here summarization is considered as the process of taking a report of binary objects, and producing from it…